S. Bhargava
- Management Science and Operations Research top 10%
- Economics and Econometrics
- Clinical Psychology
- Sociology and Political Science
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Sujata SethiV. K. DixitPyare L. KhannaMargaret FitzgeraldColin P. DohertyArun KumarAbhishek MukherjeeKarmeshu
- Topics
- Innovation Diffusion and Forecasting (5 papers)Quantum Chromodynamics and Particle Interactions (5 papers)Electric Motor Design and Analysis (4 papers)
- Cited by
- Management Science and Operations ResearchBusiness and International ManagementEconomics and Econometrics
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
S. Bhargava
27 papers receiving 257 citations
Peers
Comparison fields: 5 of 109
- Management Science and Operations Research 66
- Economics and Econometrics 51
- Clinical Psychology 34
- Sociology and Political Science 28
- Endocrinology, Diabetes and Metabolism 28
Countries citing papers authored by S. Bhargava
This map shows the geographic impact of S. Bhargava'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 S. Bhargava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Bhargava more than expected).
Fields of papers citing papers by S. Bhargava
This network shows the impact of papers produced by S. Bhargava. 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 S. Bhargava. The network helps show where S. Bhargava may publish in the future.
Co-authorship network of co-authors of S. Bhargava
This figure shows the co-authorship network connecting the top 25 collaborators of S. Bhargava. A scholar is included among the top collaborators of S. Bhargava 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 S. Bhargava. S. Bhargava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 22 | |
| 3 | SELF EMULSIFYING DRUG DELIVERY SYSTEM: AN APPROACH TO IMPROVE THE SOLUBILITY OF POORLY WATER SOLUBLE DRUG | 5 |
| 4 | 31 | |
| 5 | 4 | |
| 6 | 32 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | 21 | |
| 10 | Lymphnode infarction and lymphoma. | 7 |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 29 | |
| 15 | 1 | |
| 16 | Is osteoporosis a nutritional disease? | 9 |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 6 |
About S. Bhargava
S. Bhargava is a scholar working on Management Science and Operations Research, Nuclear and High Energy Physics and Statistical and Nonlinear Physics, having authored 30 papers that have together received 277 indexed citations. Recurring topics across this work include Innovation Diffusion and Forecasting (5 papers), Quantum Chromodynamics and Particle Interactions (5 papers) and Electric Motor Design and Analysis (4 papers). The work is most often cited by research in Management Science and Operations Research (66 citations), Business and International Management (4 citations) and Economics and Econometrics (51 citations). S. Bhargava has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Sujata Sethi, V. K. Dixit, Pyare L. Khanna, Margaret Fitzgerald, Colin P. Doherty, Arun Kumar, Abhishek Mukherjee, Karmeshu, Mayank Thakur and Vikas Sharma. Their work appears in journals such as Physical Review Letters, Journal of Applied Physics and Journal of Theoretical Biology.
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.