Apurv Jain
- Sociology and Political Science top 5%
- Safety Research top 2%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Marketing top 10%
- Co-authors
- Andreas B. EisingerichAbhishek BorahSourindra BanerjeeYu‐Ting LinScott CountsDavide ProserpioVikram MathewsDushyant Shekhawat
- Topics
- COVID-19 Pandemic Impacts (2 papers)Employment and Welfare Studies (2 papers)Virus-based gene therapy research (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Apurv Jain
10 papers receiving 644 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Sociology and Political Science 252
- Safety Research 196
- Artificial Intelligence 134
- Information Systems 72
- Marketing 60
Countries citing papers authored by Apurv Jain
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 77 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracybreakdown → | 600 |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | Preparation and magnetic properties of nano size Zirconium ferrite particles using Coprecipitation method | 2 |
| 11 | 1 |
About Apurv Jain
Apurv Jain is a scholar working on Economics and Econometrics, Safety Research and Health, having authored 11 papers that have together received 717 indexed citations. Recurring topics across this work include COVID-19 Pandemic Impacts (2 papers), Employment and Welfare Studies (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Health Informatics (33 citations), Safety Research (196 citations) and Marketing (60 citations). Apurv Jain has collaborated with scholars based in United States, India and United Kingdom. Frequent 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. Their work appears in journals such as Journal of Marketing, Virus Research and Business Economics.
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.