Nitesh Goyal
- Human-Computer Interaction top 5%
- Artificial Intelligence
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Social Psychology
- Co-authors
- Susan R. FussellLucy VassermanGilly LeshedIan KivlichanRachel RosenDonghee Yvette WohnLars LischkePaweł W. Woźniak
- Topics
- Hate Speech and Cyberbullying Detection (4 papers)AI in Service Interactions (4 papers)Data Visualization and Analytics (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the Association for Information Science and TechnologyProceedings of the ACM on Human-Computer Interaction
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Nitesh Goyal
21 papers receiving 259 citations
Peers
Comparison fields: 5 of 68
- Human-Computer Interaction 91
- Artificial Intelligence 78
- Sociology and Political Science 54
- Computer Vision and Pattern Recognition 50
- Social Psychology 43
Countries citing papers authored by Nitesh Goyal
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 37 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | Capturing Covertly Toxic Speech via Crowdsourcing | 11 |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 13 | |
| 17 | 38 | |
| 18 | 24 | |
| 19 | 21 | |
| 20 | 6 |
About Nitesh Goyal
Nitesh Goyal is a scholar working on Human-Computer Interaction, Health Informatics and Information Systems and Management, having authored 23 papers that have together received 264 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (4 papers), AI in Service Interactions (4 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Human-Computer Interaction (91 citations), Information Systems and Management (41 citations) and Computer Science Applications (32 citations). Nitesh Goyal has collaborated with scholars based in United States, United Kingdom and India. Frequent 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. Their work appears in 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.
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.