Eshwar Chandrasekharan
- Artificial Intelligence top 2%
- Communication top 1%
- Sociology and Political Science top 5%
- Information Systems top 5%
- Social Psychology top 10%
- Co-authors
- Éric GilbertAnirudh SrinivasanJacob EisensteinMattia SamoryAdam GlynnUmashanthi PavalanathanAmy BruckmanShagun Jhaver
- Topics
- Hate Speech and Cyberbullying Detection (16 papers)Social Media and Politics (14 papers)Misinformation and Its Impacts (4 papers)
- Journals
- ACM Transactions on Computer-Human InteractionProceedings of the ACM on Human-Computer InteractionIRIS Research product catalog (Sapienza University of Rome)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Eshwar Chandrasekharan
21 papers receiving 858 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 585
- Communication 434
- Sociology and Political Science 394
- Information Systems 167
- Social Psychology 115
Countries citing papers authored by Eshwar Chandrasekharan
This map shows the geographic impact of Eshwar Chandrasekharan'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 Eshwar Chandrasekharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eshwar Chandrasekharan more than expected).
Fields of papers citing papers by Eshwar Chandrasekharan
This network shows the impact of papers produced by Eshwar Chandrasekharan. 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 Eshwar Chandrasekharan. The network helps show where Eshwar Chandrasekharan may publish in the future.
Co-authorship network of co-authors of Eshwar Chandrasekharan
This figure shows the co-authorship network connecting the top 25 collaborators of Eshwar Chandrasekharan. A scholar is included among the top collaborators of Eshwar Chandrasekharan 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 Eshwar Chandrasekharan. Eshwar Chandrasekharan 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 | 16 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 67 | |
| 14 | 8 | |
| 15 | 26 | |
| 16 | 11 | |
| 17 | 84 | |
| 18 | 93 | |
| 19 | 32 | |
| 20 | 251 |
About Eshwar Chandrasekharan
Eshwar Chandrasekharan is a scholar working on Communication, Health Informatics and Artificial Intelligence, having authored 25 papers that have together received 879 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (16 papers), Social Media and Politics (14 papers) and Misinformation and Its Impacts (4 papers). The work is most often cited by research in Communication (434 citations), Artificial Intelligence (585 citations) and Sociology and Political Science (394 citations). Eshwar Chandrasekharan has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Éric Gilbert, Anirudh Srinivasan, Jacob Eisenstein, Mattia Samory, Adam Glynn, Umashanthi Pavalanathan, Amy Bruckman, Shagun Jhaver, Koustuv Saha and Munmun De Choudhury. Their work appears in journals such as ACM Transactions on Computer-Human Interaction, Proceedings of the ACM on Human-Computer Interaction and IRIS Research product catalog (Sapienza University of Rome).
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.