Hariharan Subramonyam

727 total citations · 1 hit paper
22 papers, 371 citations indexed

About

Hariharan Subramonyam is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Safety Research. According to data from OpenAlex, Hariharan Subramonyam has authored 22 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Human-Computer Interaction and 7 papers in Safety Research. Recurrent topics in Hariharan Subramonyam's work include Ethics and Social Impacts of AI (7 papers), Data Visualization and Analytics (6 papers) and Innovative Human-Technology Interaction (5 papers). Hariharan Subramonyam is often cited by papers focused on Ethics and Social Impacts of AI (7 papers), Data Visualization and Analytics (6 papers) and Innovative Human-Technology Interaction (5 papers). Hariharan Subramonyam collaborates with scholars based in United States, Germany and India. Hariharan Subramonyam's 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 and has published in prestigious 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.

In The Last Decade

Hariharan Subramonyam

20 papers receiving 362 citations

Hit Papers

Assessing the Fairness of AI Systems: AI Practitioners' P... 2022 2026 2023 2024 2022 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support
    2022 88 citations Michael Madaio, Hariharan Subramonyam et al. Proceedings of the ACM on Human-Computer Interaction profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hariharan Subramonyam United States 11 126 108 98 78 51 22 371
Memo Akten United Kingdom 3 62 0.5× 125 1.2× 47 0.5× 55 0.7× 20 0.4× 4 370
Upol Ehsan United States 12 152 1.2× 319 3.0× 53 0.5× 45 0.6× 39 0.8× 21 508
J.D. Zamfirescu-Pereira United States 9 49 0.4× 266 2.5× 90 0.9× 58 0.7× 90 1.8× 22 578
Malin Eiband Germany 12 147 1.2× 256 2.4× 194 2.0× 48 0.6× 174 3.4× 21 656
Minsuk Chang South Korea 12 30 0.2× 180 1.7× 119 1.2× 115 1.5× 49 1.0× 28 475
Mitchell Gordon United States 11 46 0.4× 185 1.7× 114 1.2× 88 1.1× 59 1.2× 23 467
Robert Mahari United States 3 58 0.5× 108 1.0× 28 0.3× 38 0.5× 21 0.4× 6 328
Amy Smith United Kingdom 2 55 0.4× 104 1.0× 28 0.3× 38 0.5× 19 0.4× 3 317
John Joon Young Chung United States 11 28 0.2× 139 1.3× 113 1.2× 93 1.2× 35 0.7× 25 404
Marieke Peeters Netherlands 7 119 0.9× 166 1.5× 22 0.2× 25 0.3× 29 0.6× 19 460

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 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

20 of 20 papers shown
1.
2.
Hullman, Jessica, et al.. (2024). A Conceptual Framework for Ethical Evaluation of Machine Learning Systems. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 534–546.
3.
Dangol, Aayushi, Yun Huang, Srirangaraj Setlur, et al.. (2024). AI-Driven Support for People with Speech & Language Difficulties. 1–4. 3 indexed citations
4.
Kulkarni, Chinmay, Tongshuang Wu, Kenneth Holstein, et al.. (2023). LLMs and the Infrastructure of CSCW. 408–410. 1 indexed citations
5.
Subramonyam, Hariharan & Jessica Hullman. (2023). Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–11. 4 indexed citations
6.
Liao, Q. Vera, Hariharan Subramonyam, Jennifer Wang, & Jennifer Wortman Vaughan. (2023). Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience. 1–21. 37 indexed citations
7.
Choi, Yoonseo, Toby Jia-Jun Li, Chinmay Kulkarni, et al.. (2023). Designing for AI-Powered Social Computing Systems. 572–575. 2 indexed citations
8.
Subramonyam, Hariharan, et al.. (2022). How Do Viewers Synthesize Conflicting Information from Data Visualizations?. IEEE Transactions on Visualization and Computer Graphics. 29(1). 1–11. 10 indexed citations
9.
Subramonyam, Hariharan, Jane Im, Colleen M. Seifert, & Eytan Adar. (2022). Solving Separation-of-Concerns Problems in Collaborative Design of Human-AI Systems through Leaky Abstractions. CHI Conference on Human Factors in Computing Systems. 1–21. 32 indexed citations
10.
Subramonyam, Hariharan, et al.. (2022). VideoSticker: A Tool for Active Viewing and Visual Note-taking from Videos. 672–690. 5 indexed citations
11.
Madaio, Michael, et al.. (2022). Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW1). 1–26. 88 indexed citations breakdown →
12.
Subramonyam, Hariharan, Colleen M. Seifert, & Eytan Adar. (2021). ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces. 48–58. 26 indexed citations
13.
Subramonyam, Hariharan, et al.. (2020). Explore, Create, Annotate: Designing Digital Drawing Tools with Visually Impaired People. 1–12. 9 indexed citations
14.
Subramonyam, Hariharan, Colleen M. Seifert, Priti Shah, & Eytan Adar. (2020). texSketch: Active Diagramming through Pen-and-Ink Annotations. 1–13. 22 indexed citations
15.
Subramonyam, Hariharan, Steven M. Drucker, & Eytan Adar. (2019). Affinity Lens. 1–13. 30 indexed citations
16.
Subramonyam, Hariharan & Eytan Adar. (2018). SmartCues: A Multitouch Query Approach for Details-on-Demand through Dynamically Computed Overlays. IEEE Transactions on Visualization and Computer Graphics. 25(1). 597–607. 11 indexed citations
17.
Subramonyam, Hariharan, Wilmot Li, Eytan Adar, & Mira Dontcheva. (2018). TakeToons. 663–674. 18 indexed citations
18.
Pal, Joyojeet, Priyank Chandra, Vaishnav Kameswaran, et al.. (2017). Agency in Assistive Technology Adoption. 5929–5940. 48 indexed citations
19.
Subramonyam, Hariharan. (2015). SIGCHI. 1699–1704. 2 indexed citations
20.
Subramonyam, Hariharan, et al.. (2015). SIGCHI. 49–54. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Memo Akten Breakdown of academic impact, for papers by Upol Ehsan Breakdown of academic impact, for papers by J.D. Zamfirescu-Pereira Breakdown of academic impact, for papers by Malin Eiband Breakdown of academic impact, for papers by Minsuk Chang Breakdown of academic impact, for papers by Mitchell Gordon Breakdown of academic impact, for papers by Robert Mahari Breakdown of academic impact, for papers by Amy Smith Breakdown of academic impact, for papers by John Joon Young Chung Breakdown of academic impact, for papers by Marieke Peeters
Rankless by CCL
2026