Ramit Sawhney

2.0k total citations
67 papers, 1.2k citations indexed

About

Ramit Sawhney is a scholar working on Artificial Intelligence, Social Psychology and Management Science and Operations Research. According to data from OpenAlex, Ramit Sawhney has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 17 papers in Social Psychology and 15 papers in Management Science and Operations Research. Recurrent topics in Ramit Sawhney's work include Mental Health via Writing (17 papers), Stock Market Forecasting Methods (15 papers) and Hate Speech and Cyberbullying Detection (13 papers). Ramit Sawhney is often cited by papers focused on Mental Health via Writing (17 papers), Stock Market Forecasting Methods (15 papers) and Hate Speech and Cyberbullying Detection (13 papers). Ramit Sawhney collaborates with scholars based in India, United States and Germany. Ramit Sawhney's co-authors include Rajiv Ratn Shah, Puneet Mathur, Arnav Wadhwa, Shivam Agarwal, Debanjan Mahata, Harshit Joshi, Raj Mohan Singh, Arijit Chowdhury, Lucie Flek and Tyler Derr and has published in prestigious journals such as Journal of the American Medical Informatics Association, Research at the University of Copenhagen (University of Copenhagen) and PubMed.

In The Last Decade

Ramit Sawhney

65 papers receiving 1.2k citations

Peers

Ramit Sawhney
Comparison fields: 5 of 86
  • Artificial Intelligence 731
  • Social Psychology 339
  • Management Science and Operations Research 261
  • Information Systems 163
  • Applied Psychology 139
Replace Frank Xing with:
Frank Xing Singapore
Valentin Tablan United Kingdom
Md Shad Akhtar India
Jun Hong United Kingdom
Fidel Cacheda Spain
Huahai Yang United States
Manas Gaur United States
David E. Losada Spain
Stefano Baccianella Italy
Marouane Birjali Morocco
Frank Xing Singapore View profile →
Citations per field, relative to Ramit Sawhney
Ramit Sawhney · 1×
Citations per year, relative to Ramit Sawhney
Ramit Sawhney · 1×

Countries citing papers authored by Ramit Sawhney

Since Specialization
Citations

This map shows the geographic impact of Ramit Sawhney'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 Ramit Sawhney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramit Sawhney more than expected).

Fields of papers citing papers by Ramit Sawhney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramit Sawhney. 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 Ramit Sawhney. The network helps show where Ramit Sawhney may publish in the future.

Co-authorship network of co-authors of Ramit Sawhney

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 2
4 12
5 3
6 4
7 25
8 11
9 10
10 1
11 7
12
Tweet Classification to Assist Human Moderation for Suicide Prevention.
3
13 34
14 19
15 82
16 65
17 12
18 72
19 68
20 9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026