Apurv Jain

1.3k total citations · 1 hit paper
11 papers, 717 citations indexed

About

Apurv Jain is a scholar working on Sociology and Political Science, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Apurv Jain has authored 11 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 4 papers in Economics and Econometrics and 2 papers in General Health Professions. Recurrent topics in Apurv Jain's work include COVID-19 Pandemic Impacts (2 papers), Employment and Welfare Studies (2 papers) and Virus-based gene therapy research (1 paper). Apurv Jain is often cited by papers focused on COVID-19 Pandemic Impacts (2 papers), Employment and Welfare Studies (2 papers) and Virus-based gene therapy research (1 paper). Apurv Jain collaborates with scholars based in United States, India and United Kingdom. Apurv Jain's co-authors include Andreas B. Eisingerich, Abhishek Borah, Sourindra Banerjee, Yu‐Ting Lin, Scott Counts, Davide Proserpio, Vikram Mathews, Dushyant Shekhawat, Praprut Songchitruksa and Shiliang Tang and has published in prestigious journals such as Journal of Marketing, Virus Research and Business Economics.

In The Last Decade

Apurv Jain

10 papers receiving 644 citations

Hit Papers

Weapons of Math Destruction: How Big Data Increases Inequ... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Apurv Jain United States 5 252 196 134 72 60 11 717
Jason Schultz United States 8 213 0.8× 147 0.8× 127 0.9× 98 1.4× 38 0.6× 34 582
Nima Kordzadeh United States 11 322 1.3× 139 0.7× 149 1.1× 102 1.4× 61 1.0× 28 686
Malte Ziewitz United States 9 258 1.0× 209 1.1× 67 0.5× 81 1.1× 31 0.5× 16 525
Sabine T. Koeszegi Austria 17 391 1.6× 78 0.4× 149 1.1× 36 0.5× 56 0.9× 46 906
Marina Fiedler Germany 13 221 0.9× 118 0.6× 58 0.4× 42 0.6× 57 0.9× 65 694
John Cheney-Lippold United States 5 335 1.3× 170 0.9× 37 0.3× 95 1.3× 34 0.6× 8 672
P. M. Krafft United States 13 237 0.9× 226 1.2× 183 1.4× 90 1.3× 13 0.2× 31 637
Jennifer M. Logg United States 9 334 1.3× 467 2.4× 324 2.4× 72 1.0× 72 1.2× 17 1.2k
Luke Munn Australia 11 213 0.8× 182 0.9× 174 1.3× 55 0.8× 21 0.3× 43 562
Sybren Heyndels Belgium 5 242 1.0× 77 0.4× 39 0.3× 73 1.0× 31 0.5× 8 566

Countries citing papers authored by Apurv Jain

Since Specialization
Citations

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

Fields of papers citing papers by Apurv Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apurv Jain

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

All Works

11 of 11 papers shown
1.
2.
Borah, Abhishek, Sourindra Banerjee, Yu‐Ting Lin, Apurv Jain, & Andreas B. Eisingerich. (2020). Improvised Marketing Interventions in Social Media. Journal of Marketing. 84(2). 69–91. 77 indexed citations
3.
Jain, Apurv, et al.. (2019). Molecular characterization of novel Adeno-associated virus variants infecting human tissues. Virus Research. 272. 197716–197716. 4 indexed citations
4.
Jain, Apurv, et al.. (2018). Financial bubbles and their magic: asset price as a heroic journey in the financial markets. HAL (Le Centre pour la Communication Scientifique Directe). Volume XII Issue 1(Articles). 1 indexed citations
5.
Jain, Apurv. (2017). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Business Economics. 52(2). 123–125. 600 indexed citations breakdown →
6.
Tang, Shiliang, Qingyun Liu, Scott Counts, et al.. (2017). Echo Chambers in Investment Discussion Boards. Proceedings of the International AAAI Conference on Web and Social Media. 11(1). 240–249. 2 indexed citations
7.
Tang, Shiliang, et al.. (2017). Echo Chambers in Investment Discussion Boards. SSRN Electronic Journal. 4 indexed citations
8.
Proserpio, Davide, Scott Counts, & Apurv Jain. (2016). The psychology of job loss. 223–232. 15 indexed citations
9.
Proserpio, Davide, Scott Counts, & Apurv Jain. (2016). The Psychology of Job Loss: Using Social Media Data to Characterize and Predict Unemployment. SSRN Electronic Journal. 4 indexed citations
10.
Jain, Apurv & S. Kalainathan. (2014). Preparation and magnetic properties of nano size Zirconium ferrite particles using Coprecipitation method. 2 indexed citations
11.
Jain, Apurv. (2010). Are Carry Trade Risks Systematic Risks Now? An Analysis of the Dynamics of Carry Trade Risks. SSRN Electronic Journal. 1 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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