Shubham Atreja

406 total citations
12 papers, 224 citations indexed

About

Shubham Atreja is a scholar working on Artificial Intelligence, Communication and Sociology and Political Science. According to data from OpenAlex, Shubham Atreja has authored 12 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Communication and 3 papers in Sociology and Political Science. Recurrent topics in Shubham Atreja's work include Hate Speech and Cyberbullying Detection (5 papers), Social Media and Politics (4 papers) and Misinformation and Its Impacts (2 papers). Shubham Atreja is often cited by papers focused on Hate Speech and Cyberbullying Detection (5 papers), Social Media and Politics (4 papers) and Misinformation and Its Impacts (2 papers). Shubham Atreja collaborates with scholars based in United States and India. Shubham Atreja's co-authors include Gargi Dasgupta, Animesh Nandi, Subhrajit Bhattacharya, Libby Hemphill, Lingyao Li, Lizhou Fan, Matthew Baum, Irene V. Pasquetto, Eaman Jahani and Paul Resnick and has published in prestigious journals such as New Media & Society, Proceedings of the ACM on Human-Computer Interaction and ACM Transactions on the Web.

In The Last Decade

Shubham Atreja

11 papers receiving 215 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shubham Atreja United States 7 123 88 53 49 36 12 224
Miltiadis Kandias Greece 8 61 0.5× 95 1.1× 108 2.0× 41 0.8× 12 0.3× 11 199
Claus Atzenbeck Denmark 9 94 0.8× 30 0.3× 65 1.2× 65 1.3× 22 0.6× 62 273
Mohamed Bourimi Germany 7 51 0.4× 35 0.4× 53 1.0× 65 1.3× 11 0.3× 32 176
Agustín Espinosa Spain 9 162 1.3× 56 0.6× 69 1.3× 128 2.6× 19 0.5× 24 252
Javier Pastor-Galindo Spain 8 77 0.6× 45 0.5× 135 2.5× 89 1.8× 32 0.9× 22 242
Amit Kumar Jakhar India 6 173 1.4× 23 0.3× 73 1.4× 58 1.2× 9 0.3× 12 244
Anggit Dwi Hartanto Indonesia 9 161 1.3× 22 0.3× 146 2.8× 18 0.4× 10 0.3× 87 270
Ghassan Z. Qadah United Arab Emirates 7 138 1.1× 82 0.9× 51 1.0× 20 0.4× 8 0.2× 24 269
Seibu Mary Jacob Malaysia 9 89 0.7× 107 1.2× 163 3.1× 43 0.9× 4 0.1× 26 391
Peter Snyder United States 9 119 1.0× 36 0.4× 138 2.6× 78 1.6× 8 0.2× 20 213

Countries citing papers authored by Shubham Atreja

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Shubham Atreja

This figure shows the co-authorship network connecting the top 25 collaborators of Shubham Atreja. A scholar is included among the top collaborators of Shubham Atreja 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 Shubham Atreja. Shubham Atreja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Atreja, Shubham, et al.. (2025). What's in a Prompt?: A Large-Scale Experiment to Assess the Impact of Prompt Design on the Compliance and Accuracy of LLM-Generated Text Annotations. Proceedings of the International AAAI Conference on Web and Social Media. 19. 122–145. 4 indexed citations
2.
Atreja, Shubham, Jane Im, Paul Resnick, & Libby Hemphill. (2024). AppealMod: Inducing Friction to Reduce Moderator Workload of Handling User Appeals. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–35.
3.
Li, Lingyao, Lizhou Fan, Shubham Atreja, & Libby Hemphill. (2024). “HOT” ChatGPT: The Promise of ChatGPT in Detecting and Discriminating Hateful, Offensive, and Toxic Comments on Social Media. ACM Transactions on the Web. 18(2). 1–36. 43 indexed citations
4.
Atreja, Shubham, Libby Hemphill, & Paul Resnick. (2023). Remove, Reduce, Inform: What Actions do People Want Social Media Platforms to Take on Potentially Misleading Content?. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW2). 1–33. 9 indexed citations
5.
Atreja, Shubham, et al.. (2022). Why do volunteer content moderators quit? Burnout, conflict, and harmful behaviors. New Media & Society. 26(10). 5677–5701. 18 indexed citations
6.
Pasquetto, Irene V., Eaman Jahani, Shubham Atreja, & Matthew Baum. (2022). Social Debunking of Misinformation on WhatsApp: The Case for Strong and In-group Ties. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW1). 1–35. 28 indexed citations
7.
Kumar, Shanu, et al.. (2019). Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues. 2943–2949. 6 indexed citations
8.
Atreja, Shubham, et al.. (2019). Multimodal Web Application to Infer Emotional Intelligence of Adolescent Counsellor. 10. 1–5. 2 indexed citations
9.
Mittal, Ruhi Sharma, et al.. (2019). Automatic Generation of Leveled Visual Assessments for Young Learners. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 9713–9720. 2 indexed citations
10.
Atreja, Shubham, et al.. (2018). Citicafe. 180–189. 4 indexed citations
11.
Atreja, Shubham, et al.. (2018). Citicafe. 617–628. 10 indexed citations
12.
Nandi, Animesh, et al.. (2016). Anomaly Detection Using Program Control Flow Graph Mining From Execution Logs. 215–224. 98 indexed citations

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.

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