Aditya Goenka
- Economics and Econometrics top 5%
- Modeling and Simulation top 2%
- General Economics, Econometrics and Finance top 10%
- General Health Professions
- Finance top 10%
- Co-authors
- Lin LiuManh‐Hung NguyenKarl ShellJohn GewekeWilliam A. BarnettDavid L. KellyStephen E. SpearRod Garratt
- Topics
- Economic theories and models (13 papers)COVID-19 epidemiological studies (6 papers)Economic Theory and Policy (6 papers)
- Cited by
- Modeling and SimulationEconomics and EconometricsGeneral Economics, Econometrics and Finance
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Aditya Goenka
29 papers receiving 360 citations
Peers
Comparison fields: 5 of 62
- Economics and Econometrics 285
- Modeling and Simulation 110
- General Economics, Econometrics and Finance 76
- General Health Professions 40
- Finance 40
Countries citing papers authored by Aditya Goenka
This map shows the geographic impact of Aditya Goenka'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 Aditya Goenka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Goenka more than expected).
Fields of papers citing papers by Aditya Goenka
This network shows the impact of papers produced by Aditya Goenka. 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 Aditya Goenka. The network helps show where Aditya Goenka may publish in the future.
Co-authorship network of co-authors of Aditya Goenka
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Goenka. A scholar is included among the top collaborators of Aditya Goenka 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 Aditya Goenka. Aditya Goenka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | A COMPREHENSIVE STUDY REGARDING CONTRIBUTION OF SOCIAL NETWORKING SITES (SNS) TO MENTAL STRESS, ANXIETY, AND DEPRESSION AMONG ADOLESCENT SCHOOL STUDENTS IN GUWAHATI: THE RESEARCH DESIGN. | 1 |
| 7 | 2 | |
| 8 | How does FDI affect corporate tax revenue of the host country | 3 |
| 9 | 64 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 51 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 19 | |
| 16 | 2 | |
| 17 | 14 | |
| 18 | 6 | |
| 19 | 5 | |
| 20 | 7 |
About Aditya Goenka
Aditya Goenka is a scholar working on Modeling and Simulation, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 30 papers that have together received 374 indexed citations. Recurring topics across this work include Economic theories and models (13 papers), COVID-19 epidemiological studies (6 papers) and Economic Theory and Policy (6 papers). The work is most often cited by research in Modeling and Simulation (110 citations), Economics and Econometrics (285 citations) and General Economics, Econometrics and Finance (76 citations). Aditya Goenka has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Lin Liu, Manh‐Hung Nguyen, Karl Shell, John Geweke, William A. Barnett, David L. Kelly, Stephen E. Spear, Rod Garratt, Saqib Jafarey and Prabuddha Mukherjee. Their work appears in journals such as The Economic Journal, Industrial & Engineering Chemistry Research and Journal of Economic Theory.
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.