Manas Joglekar
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Cryptography and Data Security 3
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- Data Management and Algorithms 9
- Co-authors
- Héctor García-Molina (9 shared papers)Aditya Parameswaran (9 shared papers)Christopher Ré (4 shared papers)Adam Marcus (1 shared paper)Vasilis Verroios (1 shared paper)Frank McSherry (2 shared papers)Khaled Ammar (2 shared papers)Semih Salihoğlu (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (3 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Theoretical Computer Science (1 paper)Discrete Mathematics (1 paper)Theory of Computing Systems (1 paper)
- Partner nations
- United StatesSwitzerlandAustria
In The Last Decade
Manas Joglekar
23 papers receiving 549 citations
Peers
Comparison fields: 5 of 66
- Computer Science Applications 153
- Signal Processing 117
- Artificial Intelligence 319
- Computer Vision and Pattern Recognition 141
- Management Science and Operations Research 81
Countries citing papers authored by Manas Joglekar
This map shows the geographic impact of Manas Joglekar'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 Manas Joglekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manas Joglekar more than expected).
Fields of papers citing papers by Manas Joglekar
This network shows the impact of papers produced by Manas Joglekar. 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 Manas Joglekar. The network helps show where Manas Joglekar may publish in the future.
Co-authors
The 25 scholars most cited alongside Manas Joglekar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 106 | |
| 2 | 2013 | 61 | |
| 3 | 2018 | 51 | |
| 4 | 2013 | 48 | |
| 5 | 2017 | 42 | |
| 6 | 2015 | 42 | |
| 7 | 2015 | 28 | |
| 8 | 2016 | 24 | |
| 9 | 2016 | 22 | |
| 10 | 2017 | 22 | |
| 11 | 2015 | 18 | |
| 12 | 2018 | 15 | |
| 13 | Smart Drill-Down: A New Data Exploration Operator. | 2015 | 14 |
| 14 | 2016 | 13 | |
| 15 | 2012 | 12 | |
| 16 | 2016 | 11 | |
| 17 | 2011 | 7 | |
| 18 | 2025 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 2013 | 5 |
About Manas Joglekar
Manas Joglekar is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Computational Theory and Mathematics and Information Systems, having authored 24 papers that have together received 559 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Advanced Database Systems and Queries (5 papers), Data Mining Algorithms and Applications (4 papers), Cryptography and Data Security (3 papers), Distributed systems and fault tolerance (3 papers), Complexity and Algorithms in Graphs (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Computer Science Applications (153 citations), Signal Processing (117 citations), Artificial Intelligence (319 citations), Computer Vision and Pattern Recognition (141 citations) and Management Science and Operations Research (81 citations). Manas Joglekar has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Héctor García-Molina, Aditya Parameswaran, Christopher Ré, Adam Marcus, Vasilis Verroios, Frank McSherry, Khaled Ammar, Semih Salihoğlu, Ken Eguro and Arvind Arasu. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Theoretical Computer Science, Discrete Mathematics and Theory of Computing Systems.
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.