Tanushree Mitra

2.2k citations
40 papers · 1.1k indexed · h-index 18

Impact in

Papers in

Tanushree Mitra

37 papers receiving 1.1k citations

Peers

Tanushree Mitra
Comparison fields: 5 of 85
  • Communication 232
  • Computer Science Applications 109
  • Management Information Systems 178
  • Sociology and Political Science 677
  • Artificial Intelligence 441
Replace Björn Roß with:
Björn Roß Germany
Jason Watson Australia
Kelley Cotter United States
Nicholas Proferes United States
Besiki Stvilia United States
Christoph Neuberger Germany
Onook Oh United States
Alex Voß United Kingdom
Ni Huang United States
N. Sadat Shami United States
Tanushree Mitra relative to Björn Roß Germany Björn Roß's profile →
Citations per field
00.5×10×20×30×39×
Björn Roß · 1×
Citations per year

Countries citing papers authored by Tanushree Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Tanushree Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tanushree Mitra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tanushree Mitra Line = papers co-authored together Tanushree Mitra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20230
4 20232
5 202222
6 20211
7 202179
8 202127
9 202118
10 20216
11 202038
12
Investigating “Who” in the Crowdsourcing of News Credibility
20202
13
Evaluating the Inverted Pyramid Structure through Automatic 5W1H Extraction and Summarization
202010
14 201837
15 201837
16 201714
17 201745
18 201714
19 2014192
20 201353

About Tanushree Mitra

Tanushree Mitra is a scholar working on Communication, Statistical and Nonlinear Physics, Sociology and Political Science, Artificial Intelligence and Information Systems, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (17 papers), Social Media and Politics (11 papers), Hate Speech and Cyberbullying Detection (9 papers), Opinion Dynamics and Social Influence (8 papers), Spam and Phishing Detection (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Complex Network Analysis Techniques (6 papers) and Topic Modeling (4 papers). The work is most often cited by research in Communication (232 citations), Computer Science Applications (109 citations), Management Information Systems (178 citations), Sociology and Political Science (677 citations) and Artificial Intelligence (441 citations). Tanushree Mitra has collaborated with scholars based in United States, Germany and Chile. Frequent co-authors include Éric Gilbert, Mattia Samory, Shruti Phadke, Munmun De Choudhury, Stevie Chancellor, Clayton J. Hutto, Scott Counts, James W. Pennebaker, Brian Keith and Amy X. Zhang. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, ACM Computing Surveys, Information Visualization, ACM SIGWEB Newsletter and Proceedings of the International AAAI Conference on Web and Social Media.

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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