Hariharan Subramonyam

727 citations
22 papers · 371 indexed · 1 hit paper · h-index 11

Hariharan Subramonyam

20 papers receiving 362 citations

Hit Papers

Assessing the Fairness of AI Systems: AI Practitioners' P...882022202620232024255075

Peers

Hariharan Subramonyam
Comparison fields: 5 of 72
  • Health Informatics 25
  • Human-Computer Interaction 98
  • Safety Research 126
  • Human Factors and Ergonomics 17
  • Computer Science Applications 37
Replace Malin Eiband with:
Malin Eiband Germany
Steve Oney United States
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Danula Hettiachchi Australia
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Hariharan Subramonyam relative to Malin Eiband Germany Malin Eiband's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hariharan Subramonyam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Hariharan Subramonyam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hariharan Subramonyam Line = papers co-authored together Hariharan Subramonyam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20243
4 20231
5 20234
6 202337
7 20232
8 202210
9
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Supportbreakdown →
202288
10 202232
11 20225
12 202126
13 20209
14 202022
15 201930
16 201811
17 201818
18 201748
19 20152
20 20152

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), Innovative Human-Technology Interaction (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Explainable Artificial Intelligence (XAI) (3 papers), Video Analysis and Summarization (3 papers), Interactive and Immersive Displays (3 papers) and Digital Accessibility for Disabilities (2 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.

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