Subhayan Mukerjee
Impact in
- Communication top 5%
- Social Media and Politics
- Media Studies and Communication
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- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
Papers in
-
- Social Media and Politics 14
- Media Studies and Communication 6
-
- Opinion Dynamics and Social Influence 8
- Complex Network Analysis Techniques 6
- Co-authors
- Sílvia Majó-Vázquez (3 shared papers)Sandra González‐Bailón (4 shared papers)Yang Tian (5 shared papers)Yphtach Lelkes (2 shared papers)Kokil Jaidka (2 shared papers)Yilang Peng (2 shared papers)Cuihua Shen (1 shared paper)Weiyu Zhang (1 shared paper)
- Journals
- Journal of Communication (5 papers)Political Communication (3 papers)The International Journal of Press/Politics (2 papers)Information Communication & Society (1 paper)Communication and the Public (1 paper)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Subhayan Mukerjee
17 papers receiving 204 citations
Peers
Comparison fields: 5 of 47
- Communication 133
- Statistical and Nonlinear Physics 56
- Sociology and Political Science 128
- General Social Sciences 5
- Artificial Intelligence 35
Countries citing papers authored by Subhayan Mukerjee
This map shows the geographic impact of Subhayan Mukerjee'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 Subhayan Mukerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhayan Mukerjee more than expected).
Fields of papers citing papers by Subhayan Mukerjee
This network shows the impact of papers produced by Subhayan Mukerjee. 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 Subhayan Mukerjee. The network helps show where Subhayan Mukerjee may publish in the future.
Co-authors
The 11 scholars most cited alongside Subhayan Mukerjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 68 | |
| 2 | 2020 | 29 | |
| 3 | 2023 | 25 | |
| 4 | 2022 | 21 | |
| 5 | 2023 | 16 | |
| 6 | 2021 | 10 | |
| 7 | 2016 | 8 | |
| 8 | 2017 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2024 | 4 | |
| 11 | Assessment and Comparison of Classification Techniques for Forest Inventory Estimation: A Case Study using IRS-ID Imagery | 2009 | 4 |
| 12 | 2022 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 0 |
About Subhayan Mukerjee
Subhayan Mukerjee is a scholar working on Communication, Statistical and Nonlinear Physics, Sociology and Political Science, Artificial Intelligence and Media Technology, having authored 18 papers that have together received 214 indexed citations. Recurring topics across this work include Social Media and Politics (14 papers), Opinion Dynamics and Social Influence (8 papers), Media Studies and Communication (6 papers), Complex Network Analysis Techniques (6 papers), Misinformation and Its Impacts (5 papers), Hate Speech and Cyberbullying Detection (3 papers), Vaccine Coverage and Hesitancy (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Communication (133 citations), Statistical and Nonlinear Physics (56 citations), Sociology and Political Science (128 citations), General Social Sciences (5 citations) and Artificial Intelligence (35 citations). Subhayan Mukerjee has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Sílvia Majó-Vázquez, Sandra González‐Bailón, Yang Tian, Yphtach Lelkes, Kokil Jaidka, Yilang Peng, Cuihua Shen, Weiyu Zhang, Georg Stadler and Ozan Kuru. Their work appears in journals such as Journal of Communication, Political Communication, The International Journal of Press/Politics, Information Communication & Society and Communication and the Public.
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.