David Wadden

4.4k total citations
13 papers, 286 citations indexed

About

David Wadden is a scholar working on Artificial Intelligence, Molecular Biology and Communication. According to data from OpenAlex, David Wadden has authored 13 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Molecular Biology and 2 papers in Communication. Recurrent topics in David Wadden's work include Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (4 papers) and Natural Language Processing Techniques (3 papers). David Wadden is often cited by papers focused on Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (4 papers) and Natural Language Processing Techniques (3 papers). David Wadden collaborates with scholars based in United States, Denmark and Israel. David Wadden's co-authors include David L. Lahr, Aravind Subramanian, Rajiv Narayan, Peyton Greenside, David E. Root, Itay Tirosh, John G. Doench, Ian C. P. Smith, Ted Natoli and Todd R. Golub and has published in prestigious journals such as Bioinformatics, PLoS Biology and arXiv (Cornell University).

In The Last Decade

David Wadden

12 papers receiving 284 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Wadden United States 8 152 82 30 25 21 13 286
Luke Hutton United Kingdom 7 65 0.4× 34 0.4× 77 2.6× 6 0.2× 24 1.1× 14 247
Prajwal Devkota United States 6 67 0.4× 57 0.7× 73 2.4× 10 0.4× 2 0.1× 8 229
Julie Jacques France 9 87 0.6× 45 0.5× 42 1.4× 15 0.6× 25 375
Dan-Mircea Mirea United States 4 229 1.5× 50 0.6× 23 0.8× 2 0.1× 17 0.8× 7 393
Martine Léonard France 10 61 0.4× 75 0.9× 13 0.4× 12 0.5× 8 0.4× 25 264
R. Clyde White United Kingdom 8 115 0.8× 34 0.4× 15 0.5× 62 2.5× 1 0.0× 18 277
Silvia Crivelli United States 9 142 0.9× 21 0.3× 5 0.2× 19 0.8× 3 0.1× 28 239
Armin W. Thomas United States 6 79 0.5× 25 0.3× 5 0.2× 6 0.2× 16 0.8× 12 237
Ken Turner United Kingdom 8 95 0.6× 76 0.9× 13 0.4× 12 0.5× 26 425
Yonghwa Choi South Korea 8 135 0.9× 114 1.4× 12 0.4× 44 1.8× 5 0.2× 17 234

Countries citing papers authored by David Wadden

Since Specialization
Citations

This map shows the geographic impact of David Wadden's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Wadden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Wadden more than expected).

Fields of papers citing papers by David Wadden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Wadden. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Wadden. The network helps show where David Wadden may publish in the future.

Co-authorship network of co-authors of David Wadden

This figure shows the co-authorship network connecting the top 25 collaborators of David Wadden. A scholar is included among the top collaborators of David Wadden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Wadden. David Wadden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Wadden, David, Alan Li, Aakanksha Naik, et al.. (2025). SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. 6083–6120.
2.
Guan, Jian, Jesse Dodge, David Wadden, Minlie Huang, & Hao Peng. (2024). Language Models Hallucinate, but May Excel at Fact Verification. 1090–1111. 3 indexed citations
3.
Hsu, Chao-Chun, Bailey Kuehl, Chenhao Tan, et al.. (2024). CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. 118–132. 3 indexed citations
4.
Lo, Kyle, et al.. (2024). KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions. 12969–12990. 1 indexed citations
5.
Sharma, Ashish, et al.. (2023). Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. 9977–10000. 18 indexed citations
6.
Wadden, David, Kyle Lo, Bailey Kuehl, et al.. (2022). Generating Scientific Claims for Zero-Shot Scientific Fact Checking. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2448–2460. 22 indexed citations
7.
Wadden, David, Kyle Lo, Lucy Lu Wang, et al.. (2022). MultiVerS: Improving scientific claim verification with weak supervision and full-document context. 61–76. 19 indexed citations
8.
Wadden, David, Kyle Lo, Bailey Kuehl, et al.. (2022). SciFact-Open: Towards open-domain scientific claim verification. 4719–4734. 14 indexed citations
9.
Wadden, David, Tal August, Qisheng Li, & Tim Althoff. (2021). The Effect of Moderation on Online Mental Health Conversations. Proceedings of the International AAAI Conference on Web and Social Media. 15. 751–763. 27 indexed citations
10.
Hope, Tom, Aida Amini, David Wadden, et al.. (2021). Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. 4489–4503. 15 indexed citations
11.
Wadden, David, Tal August, Qisheng Li, & Tim Althoff. (2020). The Effect of Moderation on Online Mental Health Conversations. arXiv (Cornell University). 15. 751–763. 1 indexed citations
12.
Enache, Oana M., David L. Lahr, Ted Natoli, et al.. (2018). The GCTx format and cmap{Py, R, M, J} packages: resources for optimized storage and integrated traversal of annotated dense matrices. Bioinformatics. 35(8). 1427–1429. 35 indexed citations
13.
Smith, Ian C. P., Peyton Greenside, Ted Natoli, et al.. (2017). Evaluation of RNAi and CRISPR technologies by large-scale gene expression profiling in the Connectivity Map. PLoS Biology. 15(11). e2003213–e2003213. 128 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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