Ashok Deb

509 total citations · 1 hit paper
8 papers, 246 citations indexed

About

Ashok Deb is a scholar working on Sociology and Political Science, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Ashok Deb has authored 8 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 3 papers in Information Systems and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Ashok Deb's work include Misinformation and Its Impacts (5 papers), Spam and Phishing Detection (3 papers) and Opinion Dynamics and Social Influence (2 papers). Ashok Deb is often cited by papers focused on Misinformation and Its Impacts (5 papers), Spam and Phishing Detection (3 papers) and Opinion Dynamics and Social Influence (2 papers). Ashok Deb collaborates with scholars based in United States and Switzerland. Ashok Deb's co-authors include Emilio Ferrara, Luca Luceri, Emily Chen, Adam Badawy, Kristina Lerman, Silvia Giordano, Steven B. Heymsfield, J. D. Scudder, Diana M. Thomas and Sungyong Seo and has published in prestigious journals such as First Monday, Current Obesity Reports and Information.

In The Last Decade

Ashok Deb

8 papers receiving 240 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Updates on Methods for Body Composition Analysis: Implications for Clinical Practice

2025 16 citations Diana M. Thomas, J. D. Scudder et al. Current Obesity Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashok Deb United States	7	152	92	90	80	37	8	246
Lena Clever Germany	4	112 0.7×	62 0.7×	61 0.7×	50 0.6×	23 0.6×	10	168
Tahora H. Nazer United States	5	218 1.4×	169 1.8×	121 1.3×	91 1.1×	48 1.3×	5	336
Jeremiah Onaolapo United Kingdom	7	93 0.6×	109 1.2×	98 1.1×	59 0.7×	13 0.4×	15	209
Lynnette Hui Xian Ng United States	11	222 1.5×	103 1.1×	93 1.0×	83 1.0×	87 2.4×	41	309
David M. Beskow United States	6	127 0.8×	82 0.9×	62 0.7×	30 0.4×	34 0.9×	11	216
Tianjun Fu United States	9	77 0.5×	151 1.6×	155 1.7×	26 0.3×	53 1.4×	11	320
Aaron Schram United States	5	56 0.4×	68 0.7×	45 0.5×	64 0.8×	32 0.9×	6	183
Benjamin Cabrera Germany	4	82 0.5×	65 0.7×	146 1.6×	95 1.2×	48 1.3×	7	244
Zafar Gilani United Kingdom	8	163 1.1×	174 1.9×	87 1.0×	22 0.3×	38 1.0×	12	301
Dennis Assenmacher Germany	6	64 0.4×	42 0.5×	58 0.6×	28 0.3×	19 0.5×	14	141

Countries citing papers authored by Ashok Deb

Since Specialization

Citations

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

Fields of papers citing papers by Ashok Deb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashok Deb

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

All Works

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8 of 8 papers shown

1.

Thomas, Diana M., et al.. (2025). Updates on Methods for Body Composition Analysis: Implications for Clinical Practice. Current Obesity Reports. 14(1). 8–8. 16 indexed citations breakdown →

2.

Chen, Emily, Ashok Deb, & Emilio Ferrara. (2021). #Election2020: the first public Twitter dataset on the 2020 US Presidential election. Journal of Computational Social Science. 5(1). 1–18. 55 indexed citations

3.

Luceri, Luca, Ashok Deb, Silvia Giordano, & Emilio Ferrara. (2019). Evolution of bot and human behavior during elections. First Monday. 37 indexed citations

4.

Luceri, Luca, Ashok Deb, Adam Badawy, & Emilio Ferrara. (2019). Red Bots Do It Better:Comparative Analysis of Social Bot Partisan Behavior. 1007–1012. 60 indexed citations

5.

Deb, Ashok, et al.. (2019). Perils and Challenges of Social Media and Election Manipulation Analysis: The 2018 US Midterms. 237–247. 36 indexed citations

6.

Deb, Ashok, Anuja Majmundar, Sungyong Seo, et al.. (2018). Social Bots for Online Public Health Interventions. arXiv (Cornell University). 1–4. 11 indexed citations

7.

Deb, Ashok, Kristina Lerman, & Emilio Ferrara. (2018). Predicting Cyber-Events by Leveraging Hacker Sentiment. Information. 9(11). 280–280. 28 indexed citations

8.

Deb, Ashok, et al.. (2001). MODELING THE COMMUNICATIONS CAPABILITIES OF THE INFANTRY SOLDIER. 3 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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