Ian Drosos
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Software top 10%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 3
- Artificial Intelligence in Games 1
- AI-based Problem Solving and Planning 1
-
- Data Visualization and Analytics 4
- Co-authors
- Philip J. Guo (5 shared papers)Advait Sarkar (4 shared papers)Sean Rintel (2 shared papers)Hao-Ping Lee (1 shared paper)Richard Banks (1 shared paper)Lev Tankelevitch (1 shared paper)Titus Barik (1 shared paper)Robert DeLine (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (1 paper)Designing Interactive Systems Conference (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Ian Drosos
11 papers receiving 310 citations
Ian Drosos's Hit Papers
Peers
Comparison fields: 5 of 61
- Health Informatics 17
- Software 50
- Information Systems and Management 68
- Computer Science Applications 47
- Information Systems 86
Countries citing papers authored by Ian Drosos
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
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-authors
The 21 scholars most cited alongside Ian Drosos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers Hit paper breakdown → | 2025 | 114 |
| 2 | 2020 | 74 | |
| 3 | 2018 | 41 | |
| 4 | 2020 | 23 | |
| 5 | 2018 | 19 | |
| 6 | 2017 | 14 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2025 | 7 | |
| 10 | 2021 | 3 | |
| 11 | 2025 | 2 |
About Ian Drosos
Ian Drosos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Management, Information Systems and Sociology and Political Science, having authored 11 papers that have together received 318 indexed citations. Recurring topics across this work include Data Visualization and Analytics (4 papers), Scientific Computing and Data Management (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Software Engineering Research (3 papers), Artificial Intelligence in Games (1 paper), AI-based Problem Solving and Planning (1 paper), Educational Games and Gamification (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Health Informatics (17 citations), Software (50 citations), Information Systems and Management (68 citations), Computer Science Applications (47 citations) and Information Systems (86 citations). Ian Drosos has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Philip J. Guo, Advait Sarkar, Sean Rintel, Hao-Ping Lee, Richard Banks, Lev Tankelevitch, Titus Barik, Robert DeLine, Sumit Gulwani and James D. Hollan. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Designing Interactive Systems Conference and Proceedings of the AAAI Conference on Artificial Intelligence.
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.