Amit Chavan
Impact in
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- Scientific Computing and Data Management
- Obstetrics and Gynecology top 10%
- COVID-19 Impact on Reproduction
Papers in
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- Advanced Data Storage Technologies 3
- Advanced Database Systems and Queries 2
- Optimization and Search Problems 2
- Distributed and Parallel Computing Systems 2
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- Research Data Management Practices 2
- Co-authors
- Amol Deshpande (4 shared papers)Aditya Parameswaran (2 shared papers)Samuel Madden (1 shared paper)Aaron J. Elmore (1 shared paper)Silu Huang (1 shared paper)Rahul Shinde (1 shared paper)Uday Patil (1 shared paper)Satyan Lakshminrusimha (1 shared paper)
- Journals
- Algorithmica (1 paper)Journal of materials research/Pratt's guide to venture capital sources (1 paper)Proceedings of the VLDB Endowment (1 paper)Children (1 paper)International journal of scientific and technology research (1 paper)
- Partner nations
- United StatesSwitzerlandTürkiye
In The Last Decade
Amit Chavan
10 papers receiving 232 citations
Peers
Comparison fields: 5 of 54
- Information Systems and Management 73
- Obstetrics and Gynecology 43
- Computer Networks and Communications 96
- Management Science and Operations Research 51
- Information Systems 74
Countries citing papers authored by Amit Chavan
This map shows the geographic impact of Amit Chavan'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 Amit Chavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Chavan more than expected).
Fields of papers citing papers by Amit Chavan
This network shows the impact of papers produced by Amit Chavan. 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 Amit Chavan. The network helps show where Amit Chavan may publish in the future.
Co-authors
The 21 scholars most cited alongside Amit Chavan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | DataHub: Collaborative Data Science & Dataset Version Management at Scale | 2014 | 77 |
| 2 | 2021 | 68 | |
| 3 | 2015 | 49 | |
| 4 | 2017 | 20 | |
| 5 | 2011 | 14 | |
| 6 | 2022 | 7 | |
| 7 | 2017 | 6 | |
| 8 | 2017 | 5 | |
| 9 | 2015 | 3 | |
| 10 | Open Source Software Defined Radio Using GNU Radio And USRP | 2014 | 2 |
| 11 | 2016 | 0 |
About Amit Chavan
Amit Chavan is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Artificial Intelligence and Computational Theory and Mathematics, having authored 11 papers that have together received 251 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (3 papers), Scientific Computing and Data Management (3 papers), Advanced Database Systems and Queries (2 papers), Optimization and Search Problems (2 papers), Research Data Management Practices (2 papers), Complexity and Algorithms in Graphs (2 papers), Distributed and Parallel Computing Systems (2 papers) and Dental Research and COVID-19 (1 paper). The work is most often cited by research in Information Systems and Management (73 citations), Obstetrics and Gynecology (43 citations), Computer Networks and Communications (96 citations), Management Science and Operations Research (51 citations) and Information Systems (74 citations). Amit Chavan has collaborated with scholars based in United States, Switzerland and Türkiye. Frequent co-authors include Amol Deshpande, Aditya Parameswaran, Samuel Madden, Aaron J. Elmore, Silu Huang, Rahul Shinde, Uday Patil, Satyan Lakshminrusimha, Ravindra Pawar and Kartik Nayak. Their work appears in journals such as Algorithmica, Journal of materials research/Pratt's guide to venture capital sources, Proceedings of the VLDB Endowment, Children and International journal of scientific and technology research.
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.