default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTom Hope
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
[c42]Qingyun Wang, Doug Downey, Heng Ji, Tom Hope:
SciMON: Scientific Inspiration Machines Optimized for Novelty. ACL (1) 2024: 279-299- [c41]Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey:
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. ACL (1) 2024: 6985-7001 - [c40]Aryo Gema, Pasquale Minervini, Luke Daines, Tom Hope, Beatrice Alex:
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain. ClinicalNLP@NAACL 2024: 91-104 - [c39]Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik:
On-the-fly Definition Augmentation of LLMs for Biomedical NER. NAACL-HLT 2024: 3833-3854 - [c38]Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope:
CARE: Extracting Experimental Findings From Clinical Literature. NAACL-HLT (Findings) 2024: 4580-4596 - [i34]Mike D'Arcy, Tom Hope, Larry Birnbaum, Doug Downey:
MARG: Multi-Agent Review Generation for Scientific Papers. CoRR abs/2401.04259 (2024) - [i33]Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik:
On-the-fly Definition Augmentation of LLMs for Biomedical NER. CoRR abs/2404.00152 (2024) - [i32]Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych:
What Can Natural Language Processing Do for Peer Review? CoRR abs/2405.06563 (2024) - [i31]David Wadden, Kejian Shi, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan:
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. CoRR abs/2406.07835 (2024) - [i30]Marissa Radensky, Simra Shahid, Raymond Fok, Pao Siangliulue, Tom Hope, Daniel S. Weld:
Scideator: Human-LLM Scientific Idea Generation Grounded in Research-Paper Facet Recombination. CoRR abs/2409.14634 (2024) - [i29]Lior Forer, Tom Hope:
Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational Reasoning. CoRR abs/2409.15113 (2024) - 2023
- [j7]Danna Niezni
, Hillel Taub-Tabib, Yuval Harris, Hagit Sason, Yakir Amrusi, Dana Meron Azagury, Maytal Avrashami, Shaked Launer-Wachs, Jonathan Borchardt, Milo Kusold, Aryeh Tiktinsky, Tom Hope, Yoav Goldberg, Yosi Shamay:
Extending the boundaries of cancer therapeutic complexity with literature text mining. Artif. Intell. Medicine 145: 102681 (2023) - [j6]Tom Hope, Doug Downey, Daniel S. Weld, Oren Etzioni, Eric Horvitz:
A Computational Inflection for Scientific Discovery. Commun. ACM 66(8): 62-73 (2023) - [c37]Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan:
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. EMNLP (Demos) 2023: 403-412 - [c36]Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea:
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. EMNLP (Findings) 2023: 415-438 - [i28]Idan Glassberg, Tom Hope:
Increasing Textual Context Size Boosts Medical Image-Text Matching. CoRR abs/2303.13340 (2023) - [i27]Fernando Gonzalez, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea:
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. CoRR abs/2305.05471 (2023) - [i26]Qingyun Wang, Doug Downey, Heng Ji, Tom Hope:
Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery. CoRR abs/2305.14259 (2023) - [i25]Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey:
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. CoRR abs/2306.12587 (2023) - [i24]Carl Edwards, Aakanksha Naik, Tushar Khot, Martin D. Burke, Heng Ji, Tom Hope:
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design. CoRR abs/2307.11694 (2023) - [i23]Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope:
CARE: Extracting Experimental Findings From Clinical Literature. CoRR abs/2311.09736 (2023) - [i22]Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan:
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. CoRR abs/2311.11301 (2023) - 2022
- [j5]Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou:
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43(1): 59-68 (2022) - [j4]Hyeonsu B. Kang, Xin Qian, Tom Hope, Dafna Shahaf, Joel Chan, Aniket Kittur:
Augmenting Scientific Creativity with an Analogical Search Engine. ACM Trans. Comput. Hum. Interact. 29(6): 57:1-57:36 (2022) - [c35]Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope:
A Search Engine for Discovery of Scientific Challenges and Directions. AAAI 2022: 11982-11990 - [c34]Tara Safavi, Doug Downey, Tom Hope:
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction. AKBC 2022 - [c33]Tom Hope, Ronen Tamari, Daniel Hershcovich, Hyeonsu B. Kang, Joel Chan, Aniket Kittur, Dafna Shahaf:
Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas. CHI 2022: 12:1-12:15 - [c32]Jason Portenoy, Marissa Radensky, Jevin D. West, Eric Horvitz, Daniel S. Weld, Tom Hope:
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery. CHI 2022: 309:1-309:13 - [c31]Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey:
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. EMNLP (Demos) 2022: 200-213 - [c30]Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope:
Literature-Augmented Clinical Outcome Prediction. NAACL-HLT (Findings) 2022: 438-453 - [c29]Aryeh Tiktinsky, Vijay Viswanathan, Danna Niezni, Dana Meron Azagury, Yosi Shamay, Hillel Taub-Tabib, Tom Hope, Yoav Goldberg:
A Dataset for N-ary Relation Extraction of Drug Combinations. NAACL-HLT 2022: 3190-3203 - [c28]Sheshera Mysore, Arman Cohan, Tom Hope:
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. NAACL-HLT 2022: 4453-4470 - [i21]Tom Hope, Doug Downey, Oren Etzioni, Daniel S. Weld, Eric Horvitz:
A Computational Inflection for Scientific Discovery. CoRR abs/2205.02007 (2022) - [i20]Aryeh Tiktinsky, Vijay Viswanathan, Danna Niezni, Dana Meron Azagury, Yosi Shamay, Hillel Taub-Tabib, Tom Hope, Yoav Goldberg:
A Dataset for N-ary Relation Extraction of Drug Combinations. CoRR abs/2205.02289 (2022) - [i19]Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey:
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. CoRR abs/2205.06982 (2022) - [i18]Tara Safavi, Doug Downey, Tom Hope:
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction. CoRR abs/2205.08012 (2022) - [i17]Hyeonsu B. Kang, Xin Qian, Tom Hope, Dafna Shahaf, Joel Chan, Aniket Kittur:
Augmenting Scientific Creativity with an Analogical Search Engine. CoRR abs/2205.15476 (2022) - 2021
- [c27]Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. AKBC 2021 - [c26]Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope:
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. AKBC 2021 - [c25]Lev Faivishevsky, Adi Szeskin, Ashwin K. Muppalla, Ravid Shwartz-Ziv, Itamar Ben-Ari, Ronen Laperdon, Benjamin Melloul, Tahi Hollander, Tom Hope, Amitai Armon:
Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies. KDD 2021: 2811-2821 - [c24]Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, Hannaneh Hajishirzi:
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. NAACL-HLT 2021: 4489-4503 - [i16]Tom Hope, Ronen Tamari, Hyeonsu B. Kang, Daniel Hershcovich, Joel Chan, Aniket Kittur, Dafna Shahaf:
Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas. CoRR abs/2102.09761 (2021) - [i15]Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. CoRR abs/2104.08809 (2021) - [i14]Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope:
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. CoRR abs/2106.09700 (2021) - [i13]Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel S. Weld, Tom Hope:
Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery. CoRR abs/2108.05669 (2021) - [i12]Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope:
A Search Engine for Discovery of Biomedical Challenges and Directions. CoRR abs/2108.13751 (2021) - [i11]Sheshera Mysore, Arman Cohan, Tom Hope:
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. CoRR abs/2111.08366 (2021) - [i10]Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope:
Literature-Augmented Clinical Outcome Prediction. CoRR abs/2111.08374 (2021) - 2020
- [b1]Tom Hope:
Automating Innovation and Discovery with Machine Learning (כותר נוסף בעברית: אוטומציה של חדשנות עם למידת מכונה). Hebrew University of Jerusalem, Israel, 2020 - [j3]Ganesh Mani, Tom Hope:
Viral Science: Masks, Speed Bumps, and Guard Rails. Patterns 1(6): 100101 (2020) - [c23]Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf:
Language (Re)modelling: Towards Embodied Language Understanding. ACL 2020: 6268-6281 - [c22]Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West:
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. EMNLP (Demos) 2020: 135-143 - [i9]Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf:
Language (Re)modelling: Towards Embodied Language Understanding. CoRR abs/2005.00311 (2020) - [i8]Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West:
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. CoRR abs/2005.12668 (2020) - [i7]Aida Amini, Tom Hope, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, Hannaneh Hajishirzi:
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. CoRR abs/2010.03824 (2020)
2010 – 2019
- 2019
- [j2]Aniket Kittur, Lixiu Yu, Tom Hope, Joel Chan, Hila Lifshitz-Assaf, Karni Gilon, Felicia Y. Ng, Robert E. Kraut, Dafna Shahaf:
Scaling up analogical innovation with crowds and AI. Proc. Natl. Acad. Sci. USA 116(6): 1870-1877 (2019) - [c21]Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope:
Learning a Faceted Customer Segmentation for Discovering new Business Opportunities at Intel. IEEE BigData 2019: 6136-6138 - [c20]Yehezkel S. Resheff, Itay Lieder, Tom Hope:
All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations. ICPRAM 2019: 135-144 - [i6]Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope:
Learning a faceted customer segmentation for discovering new business opportunities at Intel. CoRR abs/1912.00778 (2019) - [i5]Adi Szeskin, Lev Faivishevsky, Ashwin K. Muppalla, Amitai Armon, Tom Hope:
A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units. CoRR abs/1912.04138 (2019) - 2018
- [j1]Joel Chan, Joseph Chee Chang, Tom Hope, Dafna Shahaf, Aniket Kittur:
SOLVENT: A Mixed Initiative System for Finding Analogies between Research Papers. Proc. ACM Hum. Comput. Interact. 2(CSCW): 31:1-31:21 (2018) - [c19]Leya Breanna Baltaxe-Admony, Tom Hope, Kentaro Watanabe, Mircea Teodorescu, Sri Kurniawan, Takuichi Nishimura:
Exploring the Creation of Useful Interfaces for Music Therapists. Audio Mostly Conference 2018: 2:1-2:7 - [c18]Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf:
Accelerating Innovation Through Analogy Mining. IJCAI 2018: 5274-5278 - [c17]June Han, Tom Hope:
Pair Matching: Transdisciplinary Study for Introducing Computational Intelligence to Guide Dog Associations. IUI Companion 2018: 55:1-55:2 - [c16]Tom Hope, Dafna Shahaf:
Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons. WSDM 2018: 234-242 - 2017
- [c15]Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf:
Accelerating Innovation Through Analogy Mining. KDD 2017: 235-243 - [c14]Tom Hope, Eng Chew, Rajeev Sharma:
The Failure of Success Factors: Lessons from Success and Failure Cases of Enterprise Architecture Implementation [Best Paper Nominee]. SIGMIS-CPR 2017: 21-27 - [i4]Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf:
Accelerating Innovation Through Analogy Mining. CoRR abs/1706.05585 (2017) - [i3]Tom Hope, Dafna Shahaf:
Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons. CoRR abs/1712.04828 (2017) - 2016
- [c13]Joel Chan, Tom Hope, Dafna Shahaf, Aniket Kittur:
Scaling up Analogy with Crowdsourcing and Machine Learning. ICCBR Workshops 2016: 31-40 - [c12]Tom Hope, Dafna Shahaf:
Ballpark Learning: Estimating Labels from Rough Group Comparisons. ECML/PKDD (2) 2016: 299-314 - [i2]Tom Hope, Dafna Shahaf:
Ballpark Learning: Estimating Labels from Rough Group Comparisons. CoRR abs/1607.00034 (2016) - 2015
- [i1]Tom Hope, Avishai Wagner, Or Zuk:
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation. CoRR abs/1510.05214 (2015) - 2011
- [c11]Mizuki Oka, Tom Hope, Yasuhiro Hashimoto, Ryoko Uno, Myeong-Hee Lee:
A collective map to capture human behavior for the design of public spaces. CHI Extended Abstracts 2011: 2245-2250 - [c10]Tom Hope, Mizuki Oka, Yasuhiro Hashimoto, Myeong-Hee Lee:
Spatial Design, Designers and Users: Exploring the Meaning of Multi-party Service Cognition. HCI (4) 2011: 328-335
2000 – 2009
- 2009
- [c9]Tom Hope, Yoshiyuki Nakamura, Toru Takahashi, Atsushi Nobayashi, Shota Fukuoka, Masahiro Hamasaki, Takuichi Nishimura:
Familial collaborations in a museum. CHI 2009: 1963-1972 - [c8]Masahiro Hamasaki, Hideaki Takeda, Tom Hope, Takuichi Nishimura:
Network Analysis of an Emergent Massively Collaborative Creation Community: How Can People Create Videos Collaboratively without Collaboration? ICWSM 2009 - 2007
- [c7]Tom Hope, Masahiro Hamasaki, Keisuke Ishida, Noriyuki Fujimura, Yoshiyuki Nakamura, Takuichi Nishimura:
Locating Culture in HCI with Information Kiosks and Social Networks. HCI (10) 2007: 99-107 - 2006
- [c6]Kosuke Numa, Hideaki Takeda, Hiroki Uematsu, Takuichi Nishimura, Yutaka Matsuo, Masahiro Hamasaki, Noriyuki Fujimura, Keisuke Ishida, Tom Hope, Yoshiyuki Nakamura, Satoshi Fujiyoshi, Kazuya Sakamoto, Hiroshi Nagata, Osamu Nakagawa, Eiji Shinbori:
A Weblog Grounded to the Real World. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 168-175 - [c5]Tom Hope, Masahiro Hamasaki, Yutaka Matsuo, Yoshiyuki Nakamura, Noriyuki Fujimura, Takuichi Nishimura:
Doing Community: Co-construction of Meaning and Use with Interactive Information Kiosks. UbiComp 2006: 387-403 - [c4]Noriyuki Fujimura, Satoshi Fujiyoshi, Tom Hope, Takuichi Nishimura:
Tabletop community: artwork for visualization of social interactions using a bipartite network. ACM Multimedia 2006: 740-743 - [c3]Noriyuki Fujimura, Satoshi Fujiyoshi, Tom Hope, Takuichi Nishimura:
Tabletop community: visualization of real world oriented social network. ACM Multimedia 2006: 1035-1036 - [c2]Kosuke Numa, Hideaki Takeda, Takuichi Nishimura, Yutaka Matsuo, Masahiro Hamasaki, Noriyuki Fujimura, Keisuke Ishida, Tom Hope, Yoshiyuki Nakamura, Satoshi Fujiyoshi, Kazuya Sakamoto, Hiroshi Nagata, Osamu Nakagawa, Eiji Shinbori:
Context-Aware Weblog to Enhance Communication among Participants in a Conference. WEBIST (1) 2006: 400-407 - [c1]Tom Hope, Takuichi Nishimura, Hideaki Takeda:
An integrated method for social network extraction. WWW 2006: 845-846
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 2024-10-16 20:29 CEST 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:
