Hariharan Subramonyam
- Safety Research top 5%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Eytan AdarJennifer Wortman VaughanColleen M. SeifertHanna WallachMichael MadaioQ. Vera LiaoSteven M. DruckerJennifer Wang
- Topics
- Ethics and Social Impacts of AI (7 papers)Data Visualization and Analytics (6 papers)Innovative Human-Technology Interaction (5 papers)
- Journals
- IEEE Transactions on Visualization and Computer GraphicsProceedings of the ACM on Human-Computer InteractionCHI Conference on Human Factors in Computing Systems
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Hariharan Subramonyam
20 papers receiving 362 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Safety Research 126
- Artificial Intelligence 108
- Human-Computer Interaction 98
- Computer Vision and Pattern Recognition 78
- Information Systems 51
Countries citing papers authored by Hariharan Subramonyam
This map shows the geographic impact of Hariharan Subramonyam'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 Hariharan Subramonyam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hariharan Subramonyam more than expected).
Fields of papers citing papers by Hariharan Subramonyam
This network shows the impact of papers produced by Hariharan Subramonyam. 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 Hariharan Subramonyam. The network helps show where Hariharan Subramonyam may publish in the future.
Co-authorship network of co-authors of Hariharan Subramonyam
This figure shows the co-authorship network connecting the top 25 collaborators of Hariharan Subramonyam. A scholar is included among the top collaborators of Hariharan Subramonyam 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 Hariharan Subramonyam. Hariharan Subramonyam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 37 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Supportbreakdown → | 88 |
| 10 | 32 | |
| 11 | 5 | |
| 12 | 26 | |
| 13 | 9 | |
| 14 | 22 | |
| 15 | 30 | |
| 16 | 11 | |
| 17 | 18 | |
| 18 | 48 | |
| 19 | 2 | |
| 20 | 2 |
About Hariharan Subramonyam
Hariharan Subramonyam is a scholar working on Human-Computer Interaction, Computer Science Applications and Human Factors and Ergonomics, having authored 22 papers that have together received 371 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (7 papers), Data Visualization and Analytics (6 papers) and Innovative Human-Technology Interaction (5 papers). The work is most often cited by research in Health Informatics (25 citations), Human-Computer Interaction (98 citations) and Safety Research (126 citations). Hariharan Subramonyam has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Eytan Adar, Jennifer Wortman Vaughan, Colleen M. Seifert, Hanna Wallach, Michael Madaio, Q. Vera Liao, Steven M. Drucker, Jennifer Wang, Jane Im and Sile O’Modhrain. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Human-Computer Interaction and CHI Conference on Human Factors in Computing Systems.
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.