Sanjay Kairam
- Sociology and Political Science top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Communication top 5%
- Co-authors
- Ed H.Jure LeskovecDan J. WangPeter PirolliJeffrey HeerBrynn M. EvansDavid HuffakerLichan Hong
- Topics
- Social Media and Politics (6 papers)Complex Network Analysis Techniques (6 papers)Digital Marketing and Social Media (6 papers)
- Journals
- Annals of the New York Academy of SciencesInformation Processing & ManagementComputer Graphics Forum
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Sanjay Kairam
22 papers receiving 650 citations
Peers
Comparison fields: 5 of 72
- Sociology and Political Science 263
- Statistical and Nonlinear Physics 208
- Artificial Intelligence 198
- Information Systems 188
- Communication 157
Countries citing papers authored by Sanjay Kairam
This map shows the geographic impact of Sanjay Kairam'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 Sanjay Kairam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Kairam more than expected).
Fields of papers citing papers by Sanjay Kairam
This network shows the impact of papers produced by Sanjay Kairam. 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 Sanjay Kairam. The network helps show where Sanjay Kairam may publish in the future.
Co-authorship network of co-authors of Sanjay Kairam
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Kairam. A scholar is included among the top collaborators of Sanjay Kairam 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 Sanjay Kairam. Sanjay Kairam 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 37 | |
| 10 | 24 | |
| 11 | 45 | |
| 12 | 23 | |
| 13 | 31 | |
| 14 | 127 | |
| 15 | 118 | |
| 16 | 21 | |
| 17 | EchoTree: Engaged Conversation when Capabilities areLimited | 2 |
| 18 | 116 | |
| 19 | 9 | |
| 20 | 8 |
About Sanjay Kairam
Sanjay Kairam is a scholar working on Communication, Computer Science Applications and Statistical and Nonlinear Physics, having authored 24 papers that have together received 690 indexed citations. Recurring topics across this work include Social Media and Politics (6 papers), Complex Network Analysis Techniques (6 papers) and Digital Marketing and Social Media (6 papers). The work is most often cited by research in Communication (157 citations), Computer Science Applications (101 citations) and Statistical and Nonlinear Physics (208 citations). Sanjay Kairam has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Ed H., Jure Leskovec, Dan J. Wang, Peter Pirolli, Jeffrey Heer, Brynn M. Evans, David Huffaker, Lichan Hong, Bongwon Suh and Michael S. Bernstein. Their work appears in journals such as Annals of the New York Academy of Sciences, Information Processing & Management and Computer Graphics Forum.
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.