Ashwin Rajadesingan
- Artificial Intelligence top 5%
- Information Systems top 5%
- Sociology and Political Science
- Communication top 10%
- Signal Processing top 10%
- Co-authors
- Reza ZafaraniHuan LiuAnupama AggarwalPonnurangam KumaraguruPaul ResnickCeren BudakJoyojeet PalSuzanne W. Dietrich
- Topics
- Social Media and Politics (5 papers)Spam and Phishing Detection (2 papers)Misinformation and Its Impacts (2 papers)
- Journals
- Proceedings of the ACM on Human-Computer InteractionProceedings of the International AAAI Conference on Web and Social MediaCHI Conference on Human Factors in Computing Systems Extended Abstracts
- Partner nations
- United StatesIndia
In The Last Decade
Ashwin Rajadesingan
9 papers receiving 373 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 282
- Information Systems 146
- Sociology and Political Science 91
- Communication 65
- Signal Processing 48
Countries citing papers authored by Ashwin Rajadesingan
This map shows the geographic impact of Ashwin Rajadesingan'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 Ashwin Rajadesingan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Rajadesingan more than expected).
Fields of papers citing papers by Ashwin Rajadesingan
This network shows the impact of papers produced by Ashwin Rajadesingan. 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 Ashwin Rajadesingan. The network helps show where Ashwin Rajadesingan may publish in the future.
Co-authorship network of co-authors of Ashwin Rajadesingan
This figure shows the co-authorship network connecting the top 25 collaborators of Ashwin Rajadesingan. A scholar is included among the top collaborators of Ashwin Rajadesingan 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 Ashwin Rajadesingan. Ashwin Rajadesingan 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 8 | |
| 7 | 46 | |
| 8 | 3 | |
| 9 | Sarcasm Detection on Twitterbreakdown → | 231 |
| 10 | 86 |
About Ashwin Rajadesingan
Ashwin Rajadesingan is a scholar working on Communication, Biophysics and Artificial Intelligence, having authored 10 papers that have together received 398 indexed citations. Recurring topics across this work include Social Media and Politics (5 papers), Spam and Phishing Detection (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Communication (65 citations), Artificial Intelligence (282 citations) and Information Systems (146 citations). Ashwin Rajadesingan has collaborated with scholars based in United States and India. Frequent co-authors include Reza Zafarani, Huan Liu, Anupama Aggarwal, Ponnurangam Kumaraguru, Paul Resnick, Ceren Budak, Joyojeet Pal, Suzanne W. Dietrich, Sharon Crook and Amy Bruckman. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Proceedings of the International AAAI Conference on Web and Social Media and CHI Conference on Human Factors in Computing Systems Extended Abstracts.
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.