default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTamara G. Kolda
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j45]Ruhui Jin, Joe Kileel, Tamara G. Kolda
, Rachel A. Ward:
Scalable Symmetric Tucker Tensor Decomposition. SIAM J. Matrix Anal. Appl. 45(4): 1746-1781 (2024)- [i41]Brett W. Larsen, Tamara G. Kolda, Anru R. Zhang, Alex H. Williams:
Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data. CoRR abs/2408.05677 (2024) - 2023
- [c23]Rachel A. Ward, Tamara G. Kolda:
Convergence of Alternating Gradient Descent for Matrix Factorization. NeurIPS 2023 - [c22]Eric T. Phipps, Nicholas T. Johnson, Tamara G. Kolda:
Streaming Generalized Canonical Polyadic Tensor Decompositions. PASC 2023: 6:1-6:10 - [i40]Rachel A. Ward, Tamara G. Kolda:
Convergence of Alternating Gradient Descent for Matrix Factorization. CoRR abs/2305.06927 (2023) - 2022
- [j44]Brett W. Larsen, Tamara G. Kolda:
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition. SIAM J. Matrix Anal. Appl. 43(3): 1488-1517 (2022) - [i39]Brett W. Larsen, Tamara G. Kolda:
Sketching Matrix Least Squares via Leverage Scores Estimates. CoRR abs/2201.10638 (2022) - [i38]João M. Pereira, Joe Kileel, Tamara G. Kolda:
Tensor Moments of Gaussian Mixture Models: Theory and Applications. CoRR abs/2202.06930 (2022) - [i37]Ruhui Jin, Joe Kileel, Tamara G. Kolda, Rachel A. Ward:
Scalable symmetric Tucker tensor decomposition. CoRR abs/2204.10824 (2022) - 2021
- [i36]Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart:
Randomized Algorithms for Scientific Computing (RASC). CoRR abs/2104.11079 (2021) - [i35]Eric T. Phipps, Nick Johnson, Tamara G. Kolda:
Streaming Generalized Canonical Polyadic Tensor Decompositions. CoRR abs/2110.14514 (2021) - 2020
- [j43]Samantha Sherman, Tamara G. Kolda:
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition. SIAM J. Matrix Anal. Appl. 41(3): 1369-1387 (2020) - [j42]David Hong, Tamara G. Kolda, Jed A. Duersch:
Generalized Canonical Polyadic Tensor Decomposition. SIAM Rev. 62(1): 133-163 (2020) - [j41]Tamara G. Kolda, David Hong:
Stochastic Gradients for Large-Scale Tensor Decomposition. SIAM J. Math. Data Sci. 2(4): 1066-1095 (2020) - [j40]Grey Ballard, Alicia M. Klinvex, Tamara G. Kolda:
TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition. ACM Trans. Math. Softw. 46(2): 13:1-13:31 (2020) - [i34]Brett W. Larsen, Tamara G. Kolda:
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition. CoRR abs/2006.16438 (2020)
2010 – 2019
- 2019
- [j39]Eric T. Phipps, Tamara G. Kolda:
Software for Sparse Tensor Decomposition on Emerging Computing Architectures. SIAM J. Sci. Comput. 41(3): C269-C290 (2019) - [j38]Tamara G. Kolda:
Introduction to SIAM Journal on Mathematics of Data Science (SIMODS). SIAM J. Math. Data Sci. 1(1): 1-7 (2019) - [i33]Grey Ballard, Alicia M. Klinvex, Tamara G. Kolda:
TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition. CoRR abs/1901.06043 (2019) - [i32]Tamara G. Kolda, David Hong:
Stochastic Gradients for Large-Scale Tensor Decomposition. CoRR abs/1906.01687 (2019) - [i31]Ruhui Jin, Tamara G. Kolda, Rachel A. Ward:
Faster Johnson-Lindenstrauss Transforms via Kronecker Products. CoRR abs/1909.04801 (2019) - [i30]Samantha Sherman, Tamara G. Kolda:
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition. CoRR abs/1911.03813 (2019) - 2018
- [j37]Kenny Chowdhary, Tamara G. Kolda:
An improved hyperbolic embedding algorithm. J. Complex Networks 6(3): 321-341 (2018) - [j36]Casey Battaglino, Grey Ballard, Tamara G. Kolda:
A Practical Randomized CP Tensor Decomposition. SIAM J. Matrix Anal. Appl. 39(2): 876-901 (2018) - [i29]David Hong, Tamara G. Kolda, Jed A. Duersch:
Generalized Canonical Polyadic Tensor Decomposition. CoRR abs/1808.07452 (2018) - [i28]Clifford Anderson-Bergman, Tamara G. Kolda, Kina Kincher-Winoto:
XPCA: Extending PCA for a Combination of Discrete and Continuous Variables. CoRR abs/1808.07510 (2018) - [i27]Eric T. Phipps, Tamara G. Kolda:
Software for Sparse Tensor Decomposition on Emerging Computing Architectures. CoRR abs/1809.09175 (2018) - 2017
- [j35]C. Seshadhri, Ali Pinar, Nurcan Durak, Tamara G. Kolda:
Directed closure measures for networks with reciprocity. J. Complex Networks 5(1): 32-47 (2017) - [j34]Sinan Aksoy, Tamara G. Kolda, Ali Pinar:
Measuring and modeling bipartite graphs with community structure. J. Complex Networks 5(4): 581-603 (2017) - [j33]Shahin Mohammadi, David F. Gleich, Tamara G. Kolda, Ananth Grama:
Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1446-1458 (2017) - [i26]Casey Battaglino, Grey Ballard, Tamara G. Kolda:
A Practical Randomized CP Tensor Decomposition. CoRR abs/1701.06600 (2017) - 2016
- [c21]Woody Austin, Grey Ballard, Tamara G. Kolda:
Parallel Tensor Compression for Large-Scale Scientific Data. IPDPS 2016: 912-922 - [i25]Sinan Aksoy, Tamara G. Kolda, Ali Pinar:
Measuring and Modeling Bipartite Graphs with Community Structure. CoRR abs/1607.08673 (2016) - 2015
- [j32]Tamara G. Kolda:
Numerical optimization for symmetric tensor decomposition. Math. Program. 151(1): 225-248 (2015) - [j31]Samantha Hansen, Todd D. Plantenga, Tamara G. Kolda:
Newton-based optimization for Kullback-Leibler nonnegative tensor factorizations. Optim. Methods Softw. 30(5): 1002-1029 (2015) - [c20]Grey Ballard, Tamara G. Kolda, Ali Pinar, C. Seshadhri:
Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search. ICDM 2015: 11-20 - [i24]Tamara G. Kolda:
Symmetric Orthogonal Tensor Decomposition is Trivial. CoRR abs/1503.01375 (2015) - [i23]Grey Ballard, Ali Pinar, Tamara G. Kolda, C. Seshadhri:
Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search. CoRR abs/1506.03872 (2015) - [i22]Shahin Mohammadi, David F. Gleich, Tamara G. Kolda, Ananth Grama:
Triangular Alignment (TAME): A Tensor-based Approach for Higher-order Network Alignment. CoRR abs/1510.06482 (2015) - [i21]Woody Austin, Grey Ballard, Tamara G. Kolda:
Parallel Tensor Compression for Large-Scale Scientific Data. CoRR abs/1510.06689 (2015) - 2014
- [j30]C. Seshadhri, Ali Pinar, Tamara G. Kolda:
Wedge sampling for computing clustering coefficients and triangle counts on large graphs. Stat. Anal. Data Min. 7(4): 294-307 (2014) - [j29]Tamara G. Kolda, Jackson R. Mayo:
An Adaptive Shifted Power Method for Computing Generalized Tensor Eigenpairs. SIAM J. Matrix Anal. Appl. 35(4): 1563-1581 (2014) - [j28]Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri:
A Scalable Generative Graph Model with Community Structure. SIAM J. Sci. Comput. 36(5) (2014) - [j27]Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri, Christine Task:
Counting Triangles in Massive Graphs with MapReduce. SIAM J. Sci. Comput. 36(5) (2014) - [j26]Tamara G. Kolda, Irad Yaneh:
Special Section on Two Themes: Planet Earth and Big Data. SIAM J. Sci. Comput. 36(5) (2014) - [j25]Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda:
Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors. SIAM J. Sci. Comput. 36(5) (2014) - [i20]Chengbin Peng, Tamara G. Kolda, Ali Pinar:
Accelerating Community Detection by Using K-core Subgraphs. CoRR abs/1403.2226 (2014) - [i19]Christine Klymko, David F. Gleich, Tamara G. Kolda:
Using Triangles to Improve Community Detection in Directed Networks. CoRR abs/1404.5874 (2014) - [i18]Tamara G. Kolda:
Numerical Optimization for Symmetric Tensor Decomposition. CoRR abs/1410.4536 (2014) - 2013
- [j24]C. Seshadhri, Ali Pinar, Tamara G. Kolda:
An in-depth analysis of stochastic Kronecker graphs. J. ACM 60(2): 13:1-13:32 (2013) - [c19]Ayush Singhal, Karthik Subbian, Jaideep Srivastava, Tamara G. Kolda, Ali Pinar:
Dynamics of trust reciprocation in multi-relational networks. ASONAM 2013: 661-665 - [c18]Nurcan Durak, Tamara G. Kolda, Ali Pinar, C. Seshadhri:
A scalable null model for directed graphs matching all degree distributions: In, out, and reciprocal. NSW 2013: 23-30 - [c17]Tamara G. Kolda, Ali Pinar, C. Seshadhri:
Triadic Measures on Graphs: The Power of Wedge Sampling. SDM 2013: 10-18 - [i17]Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri, Christine Task:
Counting Triangles in Massive Graphs with MapReduce. CoRR abs/1301.5887 (2013) - [i16]Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda:
Exploiting Symmetry in Tensors for High Performance. CoRR abs/1301.7744 (2013) - [i15]C. Seshadhri, Ali Pinar, Nurcan Durak, Tamara G. Kolda:
The importance of directed triangles with reciprocity: patterns and algorithms. CoRR abs/1302.6220 (2013) - [i14]Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri:
A Scalable Generative Graph Model with Community Structure. CoRR abs/1302.6636 (2013) - [i13]Karthik Subbian, Ayush Singhal, Tamara G. Kolda, Ali Pinar, Jaideep Srivastava:
On Reciprocity in Massively Multi-player Online Game Networks. CoRR abs/1303.6385 (2013) - [i12]Samantha Hansen, Todd D. Plantenga, Tamara G. Kolda:
Newton-Based Optimization for Nonnegative Tensor Factorizations. CoRR abs/1304.4964 (2013) - [i11]C. Seshadhri, Ali Pinar, Tamara G. Kolda:
Wedge Sampling for Computing Clustering Coefficients and Triangle Counts on Large Graphs. CoRR abs/1309.3321 (2013) - 2012
- [j23]Eric C. Chi, Tamara G. Kolda:
On Tensors, Sparsity, and Nonnegative Factorizations. SIAM J. Matrix Anal. Appl. 33(4): 1272-1299 (2012) - [c16]Nurcan Durak, Ali Pinar, Tamara G. Kolda, C. Seshadhri:
Degree relations of triangles in real-world networks and graph models. CIKM 2012: 1712-1716 - [c15]C. Seshadhri, Ali Pinar, Tamara G. Kolda:
The Similarity Between Stochastic Kronecker and Chung-Lu Graph Models. SDM 2012: 1071-1082 - [i10]C. Seshadhri, Ali Pinar, Tamara G. Kolda:
Fast Triangle Counting through Wedge Sampling. CoRR abs/1202.5230 (2012) - [i9]Nurcan Durak, Ali Pinar, Tamara G. Kolda, C. Seshadhri:
Degree Relations of Triangles in Real-world Networks and Models. CoRR abs/1207.7125 (2012) - [i8]Nurcan Durak, Tamara G. Kolda, Ali Pinar, C. Seshadhri:
A scalable directed graph model with reciprocal edges. CoRR abs/1210.5288 (2012) - 2011
- [j22]Tamara G. Kolda, Jackson R. Mayo:
Shifted Power Method for Computing Tensor Eigenpairs. SIAM J. Matrix Anal. Appl. 32(4): 1095-1124 (2011) - [j21]Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar:
Temporal Link Prediction Using Matrix and Tensor Factorizations. ACM Trans. Knowl. Discov. Data 5(2): 10:1-10:27 (2011) - [c14]Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer:
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data. ICDM 2011: 41-50 - [c13]C. Seshadhri, Ali Pinar, Tamara G. Kolda:
An In-depth Study of Stochastic Kronecker Graphs. ICDM 2011: 587-596 - [c12]Grey Ballard, Tamara G. Kolda, Todd D. Plantenga:
Efficiently Computing Tensor Eigenvalues on a GPU. IPDPS Workshops 2011: 1340-1348 - [p1]Daniel M. Dunlavy, Tamara G. Kolda, W. Philip Kegelmeyer:
Multilinear Algebra for Analyzing Data with Multiple Linkages. Graph Algorithms in the Language of Linear Algebra 2011: 85-114 - [i7]C. Seshadhri, Ali Pinar, Tamara G. Kolda:
A Hitchhiker's Guide to Choosing Parameters of Stochastic Kronecker Graphs. CoRR abs/1102.5046 (2011) - [i6]Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer:
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data. CoRR abs/1103.2068 (2011) - [i5]Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy:
All-at-once Optimization for Coupled Matrix and Tensor Factorizations. CoRR abs/1105.3422 (2011) - [i4]Ali Pinar, C. Seshadhri, Tamara G. Kolda:
The Similarity between Stochastic Kronecker and Chung-Lu Graph Models. CoRR abs/1110.4925 (2011) - [i3]C. Seshadhri, Tamara G. Kolda, Ali Pinar:
Community structure and scale-free collections of Erdös-Rényi graphs. CoRR abs/1112.3644 (2011) - 2010
- [j20]Joshua D. Griffin, Tamara G. Kolda:
Asynchronous parallel hybrid optimization combining DIRECT and GSS. Optim. Methods Softw. 25(5): 797-817 (2010) - [c11]Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup:
Scalable Tensor Factorizations with Missing Data. SDM 2010: 701-712 - [i2]Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup:
Scalable Tensor Factorizations for Incomplete Data. CoRR abs/1005.2197 (2010) - [i1]Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar:
Temporal Link Prediction using Matrix and Tensor Factorizations. CoRR abs/1005.4006 (2010)
2000 – 2009
- 2009
- [j19]Tamara G. Kolda, Brett W. Bader:
Tensor Decompositions and Applications. SIAM Rev. 51(3): 455-500 (2009) - [c10]Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda:
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations. ICDM Workshops 2009: 262-269 - 2008
- [j18]Joshua D. Griffin, Tamara G. Kolda, Robert Michael Lewis:
Asynchronous Parallel Generating Set Search for Linearly Constrained Optimization. SIAM J. Sci. Comput. 30(4): 1892-1924 (2008) - [c9]Tamara G. Kolda, Jimeng Sun:
Scalable Tensor Decompositions for Multi-aspect Data Mining. ICDM 2008: 363-372 - 2007
- [j17]Brett W. Bader, Tamara G. Kolda:
Efficient MATLAB Computations with Sparse and Factored Tensors. SIAM J. Sci. Comput. 30(1): 205-231 (2007) - [c8]Brett W. Bader, Richard A. Harshman, Tamara G. Kolda:
Temporal Analysis of Semantic Graphs Using ASALSAN. ICDM 2007: 33-42 - [c7]Peter A. Chew, Brett W. Bader, Tamara G. Kolda, Ahmed Abdelali:
Cross-language information retrieval using PARAFAC2. KDD 2007: 143-152 - [c6]Christos Faloutsos, Tamara G. Kolda, Jimeng Sun:
Mining large graphs and streams using matrix and tensor tools. SIGMOD Conference 2007: 1174 - 2006
- [j16]Tamara G. Kolda, Robert Michael Lewis, Virginia Torczon:
Stationarity Results for Generating Set Search for Linearly Constrained Optimization. SIAM J. Optim. 17(4): 943-968 (2006) - [j15]Genetha Anne Gray, Tamara G. Kolda:
Algorithm 856: APPSPACK 4.0: asynchronous parallel pattern search for derivative-free optimization. ACM Trans. Math. Softw. 32(3): 485-507 (2006) - [j14]Brett W. Bader, Tamara G. Kolda:
Algorithm 862: MATLAB tensor classes for fast algorithm prototyping. ACM Trans. Math. Softw. 32(4): 635-653 (2006) - [c5]Joshua D. Griffin, Tamara G. Kolda:
A Parallel, Asynchronous Method for Derivative-Free Nonlinear Programs. ICMS 2006: 260-262 - 2005
- [j13]Tamara G. Kolda:
Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization. SIAM J. Optim. 16(2): 563-586 (2005) - [j12]Michael A. Heroux, Roscoe A. Bartlett, Vicki E. Howle, Robert J. Hoekstra, Jonathan J. Hu, Tamara G. Kolda, Richard B. Lehoucq, Kevin R. Long, Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger, Heidi Thornquist, Ray S. Tuminaro, James M. Willenbring, Alan B. Williams, Kendall S. Stanley:
An overview of the Trilinos project. ACM Trans. Math. Softw. 31(3): 397-423 (2005) - [c4]Tamara G. Kolda, Brett W. Bader, Joseph P. Kenny:
Higher-Order Web Link Analysis Using Multilinear Algebra. ICDM 2005: 242-249 - 2004
- [j11]Genetha Anne Gray, Tamara G. Kolda, Ken Sale, Malin M. Young:
Optimizing an Empirical Scoring Function for Transmembrane Protein Structure Determination. INFORMS J. Comput. 16(4): 406-418 (2004) - [j10]Tamara G. Kolda, Virginia Torczon:
On the Convergence of Asynchronous Parallel Pattern Search. SIAM J. Optim. 14(4): 939-964 (2004) - 2003
- [j9]Tamara G. Kolda:
A Counterexample to the Possibility of an Extension of the Eckart-Young Low-Rank Approximation Theorem for the Orthogonal Rank Tensor Decomposition. SIAM J. Matrix Anal. Appl. 24(3): 762-767 (2003) - [j8]Tamara G. Kolda, Robert Michael Lewis, Virginia Torczon:
Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods. SIAM Rev. 45(3): 385-482 (2003) - 2001
- [j7]Tamara G. Kolda:
Orthogonal Tensor Decompositions. SIAM J. Matrix Anal. Appl. 23(1): 243-255 (2001) - [j6]Patricia D. Hough, Tamara G. Kolda, Virginia Torczon:
Asynchronous Parallel Pattern Search for Nonlinear Optimization. SIAM J. Sci. Comput. 23(1): 134-156 (2001) - [c3]John M. Conroy, Robert L. Becker Jr., William Lefkowitz, Kewi L. Christopher, Rawatmal B. Surana, Timothy J. O'Leary, Dianne P. O'Leary, Tamara G. Kolda:
Hidden Markov Models for Chromosome Identification. CBMS 2001: 473- - 2000
- [j5]Bruce Hendrickson, Tamara G. Kolda:
Graph partitioning models for parallel computing. Parallel Comput. 26(12): 1519-1534 (2000) - [j4]Bruce Hendrickson, Tamara G. Kolda:
Partitioning Rectangular and Structurally Unsymmetric Sparse Matrices for Parallel Processing. SIAM J. Sci. Comput. 21(6): 2048-2072 (2000) - [j3]Tamara G. Kolda, Dianne P. O'Leary:
Algorithm 805: computation and uses of the semidiscrete matrix decomposition. ACM Trans. Math. Softw. 26(3): 415-435 (2000)
1990 – 1999
- 1998
- [j2]Tamara G. Kolda, Dianne P. O'Leary, Larry Nazareth:
BFGS with Update Skipping and Varying Memory. SIAM J. Optim. 8(4): 1060-1083 (1998) - [j1]Tamara G. Kolda, Dianne P. O'Leary:
A Semidiscrete Matrix Decomposition for Latent Semantic Indexing Information Retrieval. ACM Trans. Inf. Syst. 16(4): 322-346 (1998) - [c2]Tamara G. Kolda:
Partitioning Rectangular Matrices for Parallel Processing. IRREGULAR 1998: 68-79 - [c1]Bruce Hendrickson, Tamara G. Kolda:
Partitioning Sparse Rectangular Matrices for Parallel Computations of Ax and ATv. PARA 1998: 239-247
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
