Jonathan Bragg

1.0k total citations
29 papers, 432 citations indexed

About

Jonathan Bragg is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Jonathan Bragg has authored 29 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Information Systems and 12 papers in Computer Science Applications. Recurrent topics in Jonathan Bragg's work include Mobile Crowdsensing and Crowdsourcing (11 papers), Topic Modeling (6 papers) and Data Stream Mining Techniques (6 papers). Jonathan Bragg is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (11 papers), Topic Modeling (6 papers) and Data Stream Mining Techniques (6 papers). Jonathan Bragg collaborates with scholars based in United States, India and Canada. Jonathan Bragg's co-authors include Daniel S. Weld, Mausam Mausam, Lydia B. Chilton, Lucy Lu Wang, Christopher H. Lin, Daniel S. Weld, Andrew Head, Dan Weld, Quan Ze Chen and Marti A. Hearst and has published in prestigious journals such as ACM Transactions on Computer-Human Interaction, Proceedings of the ACM on Human-Computer Interaction and ACM Transactions on Interactive Intelligent Systems.

In The Last Decade

Jonathan Bragg

27 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Bragg United States 13 258 228 85 55 45 29 432
Pavel Kucherbaev Italy 7 164 0.6× 227 1.0× 58 0.7× 54 1.0× 44 1.0× 8 372
Chien-Ju Ho United States 12 169 0.7× 297 1.3× 195 2.3× 70 1.3× 83 1.8× 31 483
Ricardo Kawase Germany 10 230 0.9× 274 1.2× 66 0.8× 130 2.4× 51 1.1× 38 480
Joseph Chee Chang United States 8 171 0.7× 166 0.7× 36 0.4× 103 1.9× 67 1.5× 21 366
Mirko Marras Italy 12 259 1.0× 102 0.4× 59 0.7× 243 4.4× 93 2.1× 54 509
Sergej Zerr Germany 10 240 0.9× 83 0.4× 35 0.4× 130 2.4× 98 2.2× 27 396
David Piorkowski United States 10 136 0.5× 148 0.6× 28 0.3× 283 5.1× 69 1.5× 22 480
Christopher Riederer United States 9 185 0.7× 44 0.2× 53 0.6× 87 1.6× 24 0.5× 10 396
Rainer Knauf Germany 9 196 0.8× 74 0.3× 13 0.2× 81 1.5× 46 1.0× 94 379
Abejide Ade-Ibijola South Africa 9 430 1.7× 217 1.0× 13 0.2× 152 2.8× 16 0.4× 35 655

Countries citing papers authored by Jonathan Bragg

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Bragg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Bragg

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

All Works

20 of 20 papers shown
1.
Gao, Mingqi, et al.. (2025). Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference. 4605–4629. 1 indexed citations
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Wang, Ruotong, et al.. (2025). Social-RAG: Retrieving from Group Interactions to Socially Ground AI Generation. 1–25. 2 indexed citations
5.
Bragg, Jonathan, et al.. (2024). Mitigating Barriers to Public Social Interaction with Meronymous Communication. arXiv (Cornell University). 1–26. 2 indexed citations
6.
Soldaini, Luca, Jonathan Bragg, Kyle Lo, et al.. (2024). Accelerating Scientific Paper Skimming with Augmented Intelligence Through Customizable Faceted Highlights. ACM Transactions on Interactive Intelligent Systems. 14(4). 1–30.
7.
D’Arcy, Mike, et al.. (2024). ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. 6985–7001. 1 indexed citations
8.
Singh, Nikhil, Lucy Lu Wang, & Jonathan Bragg. (2024). FigurA11y: AI Assistance for Writing Scientific Alt Text. 886–906. 16 indexed citations
9.
Bragg, Jonathan, et al.. (2022). Exploring Team-Sourced Hyperlinks to Address Navigation Challenges for Low-Vision Readers of Scientific Papers. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–23. 2 indexed citations
10.
Wang, Lucy Lu, Jonathan Bragg, & Daniel S. Weld. (2022). Paper to HTML. ACM SIGACCESS Accessibility and Computing. 1–1. 3 indexed citations
11.
Rachatasumrit, Napol, Jonathan Bragg, Amy X. Zhang, & Daniel S. Weld. (2022). CiteRead: Integrating Localized Citation Contexts into Scientific Paper Reading. 707–719. 14 indexed citations
12.
Khashabi, Daniel, Gabriel Stanovsky, Jonathan Bragg, et al.. (2022). GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. 11444–11458. 10 indexed citations
13.
Wang, Lucy Lu, et al.. (2021). SciA11y: Converting Scientific Papers to Accessible HTML. 1–4. 8 indexed citations
14.
Bragg, Jonathan & Emma Brunskill. (2019). Fake It Till You Make It: Learning-Compatible Performance Support.. Uncertainty in Artificial Intelligence. 915–924. 3 indexed citations
15.
Bragg, Jonathan, Mausam Mausam, & Daniel S. Weld. (2018). Sprout. 165–176. 22 indexed citations
16.
Morris, Meredith Ringel, Jeffrey P. Bigham, Robin Brewer, et al.. (2017). Subcontracting Microwork. 1867–1876. 21 indexed citations
17.
Bragg, Jonathan & Daniel S. Weld. (2016). Optimal Testing for Crowd Workers. Adaptive Agents and Multi-Agents Systems. 966–974. 24 indexed citations
18.
Liu, Angli, Stephen Soderland, Jonathan Bragg, et al.. (2016). Effective Crowd Annotation for Relation Extraction. 37 indexed citations
19.
Bragg, Jonathan & Daniel S. Weld. (2015). Learning on the Job: Optimal Instruction for Crowdsourcing. 3 indexed citations
20.
Bragg, Jonathan, Mausam Mausam, & Daniel S. Weld. (2013). Crowdsourcing Multi-Label Classification for Taxonomy Creation. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1. 25–33. 87 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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