Dan Weld

10 total papers · 1.9k total citations
6 papers, 940 citations indexed

About

Dan Weld is a scholar working on Artificial Intelligence, Information Systems and Social Psychology. According to data from OpenAlex, Dan Weld has authored 6 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Social Psychology. Recurrent topics in Dan Weld's work include Multi-Agent Systems and Negotiation (2 papers), Web Data Mining and Analysis (1 paper) and Bayesian Modeling and Causal Inference (1 paper). Dan Weld is often cited by papers focused on Multi-Agent Systems and Negotiation (2 papers), Web Data Mining and Analysis (1 paper) and Bayesian Modeling and Causal Inference (1 paper). Dan Weld collaborates with scholars based in United States, Spain and Canada. Dan Weld's co-authors include Paul N. Bennett, Shamsi T. Iqbal, Mihaela Vorvoreanu, Adam Fourney, Saleema Amershi, Besmira Nushi, Jina Suh, Kori Inkpen, Jaime Teevan and Eric Horvitz and has published in prestigious journals such as North American Chapter of the Association for Computational Linguistics.

In The Last Decade

Dan Weld

6 papers receiving 898 citations

Hit Papers

Guidelines for Human-AI I... 2019 2026 2021 2023 2019 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Guidelines for Human-AI Interaction
    2019 808 citations Saleema Amershi, Dan Weld et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dan Weld 443 221 169 157 151 6 940
Ashraf Abdul 645 1.5× 302 1.4× 84 0.5× 90 0.6× 110 0.7× 7 935
Danding Wang 683 1.5× 288 1.3× 86 0.5× 91 0.6× 119 0.8× 18 1.0k
Justin D. Weisz 387 0.9× 136 0.6× 118 0.7× 127 0.8× 103 0.7× 34 824
Stephanie Houde 373 0.8× 302 1.4× 114 0.7× 46 0.3× 72 0.5× 23 806
Morgan Klaus Scheuerman 322 0.7× 307 1.4× 238 1.4× 108 0.7× 91 0.6× 26 1.1k
Rafał Kocielnik 324 0.7× 75 0.3× 218 1.3× 175 1.1× 76 0.5× 39 972
Kristen Vaccaro 339 0.8× 369 1.7× 198 1.2× 77 0.5× 64 0.4× 19 1.1k
Tongshuang Wu 593 1.3× 90 0.4× 80 0.5× 60 0.4× 204 1.4× 47 929
Andrew Zaldivar 273 0.6× 145 0.7× 71 0.4× 91 0.6× 91 0.6× 16 1.1k
Abeba Birhane 447 1.0× 415 1.9× 45 0.3× 61 0.4× 79 0.5× 26 1.2k

Countries citing papers authored by Dan Weld

Since Specialization
Citations

This map shows the geographic impact of Dan Weld'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 Dan Weld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Weld more than expected).

Fields of papers citing papers by Dan Weld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Weld. 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 Dan Weld. The network helps show where Dan Weld may publish in the future.

Co-authorship network of co-authors of Dan Weld

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Weld. A scholar is included among the top collaborators of Dan Weld 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 Dan Weld. Dan Weld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026