Nitesh Goyal

627 total citations
23 papers, 264 citations indexed

About

Nitesh Goyal is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nitesh Goyal has authored 23 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Human-Computer Interaction and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nitesh Goyal's work include Hate Speech and Cyberbullying Detection (4 papers), AI in Service Interactions (4 papers) and Data Visualization and Analytics (4 papers). Nitesh Goyal is often cited by papers focused on Hate Speech and Cyberbullying Detection (4 papers), AI in Service Interactions (4 papers) and Data Visualization and Analytics (4 papers). Nitesh Goyal collaborates with scholars based in United States, United Kingdom and India. Nitesh Goyal's co-authors include Susan R. Fussell, Lucy Vasserman, Gilly Leshed, Ian Kivlichan, Rachel Rosen, Donghee Yvette Wohn, Lars Lischke, Paweł W. Woźniak, Sven Mayer and Dan Cosley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Association for Information Science and Technology and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Nitesh Goyal

21 papers receiving 259 citations

Peers

Nitesh Goyal

SPS

CVPR

Hao-Ping Lee Taiwan

Tony Bergstrom United States

Sungwoo Lee South Korea

Mari‐Carmen Marcos Spain

Alex Sciuto United States

Jason Procyk Canada

Anastasia Kuzminykh Canada

Sandrine Balbo Australia

Dirk De Grooff Belgium

Julia Cambre United States

Hao-Ping Lee Taiwan

Nitesh Goyal

71 ×0.8

52 ×0.7

49 ×0.9

SPS

22 ×0.4

CVPR

36 ×0.8

Citations per year, relative to Nitesh Goyal Nitesh Goyal (= 1×) peers Hao-Ping Lee

Countries citing papers authored by Nitesh Goyal

Since Specialization

Citations

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

Fields of papers citing papers by Nitesh Goyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitesh Goyal

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

All Works

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20 of 20 papers shown

Freeman, Guo, Elizabeth D. Mynatt, Cliff Lampe, et al.. (2025). The Impact of Generative AI on the CSCW Landscape: Insights from HCI Education, Industry Dynamics, and Funding Perspectives. 62–65.

Gupta, Rakesh Kumar, et al.. (2024). Prospective Evaluation of Safety and Diagnostic Efficacy of Medical Thoracoscopy in Undiagnosed Exudative Pleural Effusion: Experience From a Tuberculosis High-Burden Country. Cureus. 16(6). e63517–e63517. 2 indexed citations

Petridis, Savvas, James Wexler, Mahima Pushkarna, et al.. (2024). ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles. 853–868. 11 indexed citations

Russell, Daniel M., et al.. (2024). Discovering Datasets on the Web Scale: Challenges and Recommendations for Google Dataset Search. SHILAP Revista de lepidopterología. 2 indexed citations

Mandryk, Regan L., Julian Frommel, Nitesh Goyal, et al.. (2023). Combating Toxicity, Harassment, and Abuse in Online Social Spaces: A Workshop at CHI 2023. 1–7. 11 indexed citations

Goyal, Nitesh, Sung-Soo Hong, Regan L. Mandryk, et al.. (2023). SHAI 2023: Workshop on Designing for Safety in Human-AI Interactions. VTechWorks (Virginia Tech). 199–201. 1 indexed citations

Wohn, Donghee Yvette, et al.. (2022). The Metaverse: A Systematic Literature Review to Map Scholarly Definitions. 80–84. 14 indexed citations

Goyal, Nitesh, Ian Kivlichan, Rachel Rosen, & Lucy Vasserman. (2022). Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–28. 37 indexed citations

Lees, Alyssa, et al.. (2022). Lost in Distillation: A Case Study in Toxicity Modeling. 92–101.

10.

Bietz, Matthew J., Nitesh Goyal, Nicole Immorlica, et al.. (2022). Social Presence in Virtual Event Spaces. CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–5. 4 indexed citations

11.

Goyal, Nitesh, et al.. (2022). ”You have to prove the threat is real”: Understanding the needs of Female Journalists and Activists to Document and Report Online Harassment. CHI Conference on Human Factors in Computing Systems. 1–17. 21 indexed citations

12.

Lees, Alyssa, et al.. (2021). Capturing Covertly Toxic Speech via Crowdsourcing. 14–20. 11 indexed citations

13.

Kim, Tae Soo, Nitesh Goyal, Jeong-Yeon Kim, Juho Kim, & Sung-Soo Hong. (2021). Supporting Collaborative Sequencing of Small Groups through Visual Awareness. Proceedings of the ACM on Human-Computer Interaction. 5(CSCW1). 1–29. 2 indexed citations

14.

Kim, Tae Soo, Sung-Soo Hong, Nitesh Goyal, Jeong-Yeon Kim, & Juho Kim. (2020). Consensus Building in Collaborative Sequencing with Visual Awareness. 1–9. 1 indexed citations

15.

Goyal, Nitesh, et al.. (2018). Tracking Batches Accurately in a Multi-Product Pipeline With Large Elevation Changes and Prominent Slack Flow. 2 indexed citations

16.

Goyal, Nitesh, et al.. (2018). Designing for mobile experience beyond the native ad click: Exploring landing page presentation style and media usage. Journal of the Association for Information Science and Technology. 69(7). 913–923. 13 indexed citations

17.

Woźniak, Paweł W., et al.. (2016). RAMPARTS. Chalmers Research (Chalmers University of Technology). 2447–2460. 38 indexed citations

18.

Goyal, Nitesh, Gilly Leshed, Dan Cosley, & Susan R. Fussell. (2014). Effects of implicit sharing in collaborative analysis. 129–138. 24 indexed citations

19.

Goyal, Nitesh, Gilly Leshed, & Susan R. Fussell. (2013). Effects of visualization and note-taking on sensemaking and analysis. 2721–2724. 21 indexed citations

20.

Goyal, Nitesh, Gilly Leshed, & Susan R. Fussell. (2013). Leveraging partner's insights for distributed collaborative sensemaking. 15–18. 6 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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