M. V. Nadkarni
- General Agricultural and Biological Sciences top 5%
- Sociology and Political Science
- Language and Linguistics top 10%
- Soil Science
- Linguistics and Language top 10%
- Topics
- Agricultural Economics and Practices (6 papers)Indian History and Philosophy (4 papers)Agricultural risk and resilience (3 papers)
In The Last Decade
M. V. Nadkarni
22 papers receiving 126 citations
Peers
Comparison fields: 5 of 52
- General Agricultural and Biological Sciences 53
- Sociology and Political Science 43
- Language and Linguistics 36
- Soil Science 33
- Linguistics and Language 32
Countries citing papers authored by M. V. Nadkarni
This map shows the geographic impact of M. V. Nadkarni'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 M. V. Nadkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. V. Nadkarni more than expected).
Fields of papers citing papers by M. V. Nadkarni
This network shows the impact of papers produced by M. V. Nadkarni. 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 M. V. Nadkarni. The network helps show where M. V. Nadkarni may publish in the future.
Co-authorship network of co-authors of M. V. Nadkarni
This figure shows the co-authorship network connecting the top 25 collaborators of M. V. Nadkarni. A scholar is included among the top collaborators of M. V. Nadkarni 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 M. V. Nadkarni. M. V. Nadkarni 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 | 2 | |
| 3 | 4 | |
| 4 | Accelerating Commercialisation of Agriculture-Dynamic Agriculture and Stagnating Peasants | 5 |
| 5 | The Mode of Production Debate: A Review Article | 2 |
| 6 | 3 | |
| 7 | Use and management of common lands - towards an environmentally sound strategy | 2 |
| 8 | The Political economy of forest use and management | 38 |
| 9 | Farmers' movements in India | 33 |
| 10 | 2 | |
| 11 | Socio-economic conditions in drought-prone areas : a bench-mark study of drought districts in Andhra Pradesh, Karnataka, and Tamil Nadu | 2 |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 44 | |
| 18 | Impact of drought on rural life | 9 |
| 19 | Agricultural prices and development with stability | 2 |
| 20 | 5 |
About M. V. Nadkarni
M. V. Nadkarni is a scholar working on General Agricultural and Biological Sciences, Linguistics and Language and Soil Science, having authored 28 papers that have together received 186 indexed citations. Recurring topics across this work include Agricultural Economics and Practices (6 papers), Indian History and Philosophy (4 papers) and Agricultural risk and resilience (3 papers). The work is most often cited by research in Linguistics and Language (32 citations), General Agricultural and Biological Sciences (53 citations) and Language and Linguistics (36 citations). M. V. Nadkarni has collaborated with scholars based in India and Singapore. Frequent co-authors include R. S. Deshpande, C. Dana Nelson, M. Nageswara Rao, K. N. Ninan and Adrian C. Hayes. Their work appears in journals such as Language, Regional Studies and World Englishes.
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.