Shubham Atreja
- Communication top 10%
- Social Media and Politics 4
- Artificial Intelligence top 10%
- Hate Speech and Cyberbullying Detection 5
- Natural Language Processing Techniques 1
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- Misinformation and Its Impacts 2
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- Multimodal Machine Learning Applications 2
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 1
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- Artificial Intelligence in Law 1
- E-Government and Public Services 1
- Co-authors
- Gargi DasguptaSubhrajit BhattacharyaAnimesh NandiLibby HemphillLingyao LiLizhou FanMatthew BaumIrene V. Pasquetto
- Journals
- Proceedings of the ACM on Human-Computer Interaction (3 papers)New Media & Society (1 paper)ACM Transactions on the Web (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Shubham Atreja
11 papers receiving 215 citations
Peers
Comparison fields: 5 of 50
- Communication 36
- Computer Networks and Communications 88
- Artificial Intelligence 123
- Software 13
- Health Informatics 4
Countries citing papers authored by Shubham Atreja
This map shows the geographic impact of Shubham Atreja'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 Shubham Atreja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubham Atreja more than expected).
Fields of papers citing papers by Shubham Atreja
This network shows the impact of papers produced by Shubham Atreja. 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 Shubham Atreja. The network helps show where Shubham Atreja may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Shubham Atreja, 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 | 2025 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 43 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 28 | |
| 7 | 2019 | 2 | |
| 8 | 2019 | 6 | |
| 9 | 2019 | 2 | |
| 10 | 2018 | 4 | |
| 11 | 2018 | 10 | |
| 12 | 2016 | 98 |
About Shubham Atreja
Shubham Atreja is a scholar working on Communication, Human-Computer Interaction and Artificial Intelligence, having authored 12 papers that have together received 224 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (5 papers), Social Media and Politics (4 papers), Misinformation and Its Impacts (2 papers), Multimodal Machine Learning Applications (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper), Natural Language Processing Techniques (1 paper), Artificial Intelligence in Law (1 paper) and E-Government and Public Services (1 paper). The work is most often cited by research in Communication (36 citations), Computer Networks and Communications (88 citations) and Artificial Intelligence (123 citations). Shubham Atreja has collaborated with scholars based in United States and India. Frequent co-authors include Gargi Dasgupta, Subhrajit Bhattacharya, Animesh Nandi, Libby Hemphill, Lingyao Li, Lizhou Fan, Matthew Baum, Irene V. Pasquetto, Eaman Jahani and Paul Resnick. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, New Media & Society, ACM Transactions on the Web, Proceedings of the International AAAI Conference on Web and Social Media and Proceedings of the AAAI Conference on Artificial Intelligence.
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.