Ian Drosos

572 total citations · 1 hit paper
11 papers, 254 citations indexed

About

Ian Drosos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems and Management. According to data from OpenAlex, Ian Drosos has authored 11 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems and Management. Recurrent topics in Ian Drosos's work include Data Visualization and Analytics (4 papers), Scientific Computing and Data Management (4 papers) and Software Engineering Research (3 papers). Ian Drosos is often cited by papers focused on Data Visualization and Analytics (4 papers), Scientific Computing and Data Management (4 papers) and Software Engineering Research (3 papers). Ian Drosos collaborates with scholars based in United States, United Kingdom and France. Ian Drosos's co-authors include Philip J. Guo, Robert DeLine, Titus Barik, Sumit Gulwani, Advait Sarkar, James D. Hollan, Chris Parnin, Aurélien Tabard, Adam Rule and Lev Tankelevitch and has published in prestigious journals such as Proceedings of the ACM on Human-Computer Interaction, Proceedings of the AAAI Conference on Artificial Intelligence and Designing Interactive Systems Conference.

In The Last Decade

Ian Drosos

11 papers receiving 246 citations

Hit Papers

The Impact of Generative AI on Critical Thinking: Self-Re... 2025 2026 2025 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Drosos United States 7 84 67 67 58 48 11 254
April Yi Wang United States 9 108 1.3× 85 1.3× 98 1.5× 84 1.4× 22 0.5× 21 280
Sruti Srinivasa Ragavan United States 7 86 1.0× 43 0.6× 55 0.8× 17 0.3× 37 0.8× 13 191
Austin Z. Henley United States 10 178 2.1× 89 1.3× 129 1.9× 45 0.8× 52 1.1× 28 392
Claus Atzenbeck Denmark 9 65 0.8× 50 0.7× 94 1.4× 71 1.2× 7 0.1× 62 273
Stephen Macke United States 6 94 1.1× 33 0.5× 104 1.6× 33 0.6× 33 0.7× 8 237
Viraj Kumar India 8 116 1.4× 16 0.2× 141 2.1× 20 0.3× 60 1.3× 45 397
Paige Rodeghero United States 12 317 3.8× 32 0.5× 150 2.2× 22 0.4× 76 1.6× 34 456
Daye Nam United States 7 92 1.1× 15 0.2× 105 1.6× 8 0.1× 44 0.9× 14 255
Mike Brayshaw United Kingdom 11 104 1.2× 15 0.2× 145 2.2× 35 0.6× 47 1.0× 26 338
Dragutin Kermek Croatia 8 119 1.4× 20 0.3× 45 0.7× 8 0.1× 29 0.6× 25 261

Countries citing papers authored by Ian Drosos

Since Specialization
Citations

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

Fields of papers citing papers by Ian Drosos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Drosos

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

All Works

11 of 11 papers shown
1.
Drosos, Ian, et al.. (2025). Evaluating the Evaluator: Measuring LLMs’ Adherence to Task Evaluation Instructions. Proceedings of the AAAI Conference on Artificial Intelligence. 39(18). 19589–19597. 6 indexed citations
2.
Drosos, Ian, et al.. (2025). Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks. 1–23. 1 indexed citations
3.
Lee, Hao-Ping, Advait Sarkar, Lev Tankelevitch, et al.. (2025). The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers. 1–22. 64 indexed citations breakdown →
4.
Williams, Jack M., Ian Drosos, Andrew D. Gordon, et al.. (2023). COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code. 82–91. 9 indexed citations
5.
Drosos, Ian & Philip J. Guo. (2022). The Design Space of Livestreaming Equipment Setups: Tradeoffs, Challenges, and Opportunities. Designing Interactive Systems Conference. 835–848. 5 indexed citations
7.
Drosos, Ian, Titus Barik, Philip J. Guo, Robert DeLine, & Sumit Gulwani. (2020). Wrex: A Unified Programming-by-Example Interaction for Synthesizing Readable Code for Data Scientists. 1–12. 72 indexed citations
9.
Just, René, Chris Parnin, Ian Drosos, & Michael D. Ernst. (2018). Comparing developer-provided to user-provided tests for fault localization and automated program repair. 287–297. 19 indexed citations
10.
Rule, Adam, Ian Drosos, Aurélien Tabard, & James D. Hollan. (2018). Aiding Collaborative Reuse of Computational Notebooks with Annotated Cell Folding. Proceedings of the ACM on Human-Computer Interaction. 2(CSCW). 1–12. 40 indexed citations
11.
Drosos, Ian, Philip J. Guo, & Chris Parnin. (2017). HappyFace: Identifying and predicting frustrating obstacles for learning programming at scale. 171–179. 14 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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