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 (5 shared papers)Adam Marcus (1 shared paper)Vasilis Verroios (1 shared paper)Semih Salihoğlu (3 shared papers)Frank McSherry (2 shared papers)Khaled Ammar (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)Theory of Computing Systems (1 paper)Formal Methods in System Design (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Manas Joglekar
22 papers receiving 486 citations
Peers
Comparison fields: 5 of 65
- Computer Science Applications 136
- Signal Processing 110
- Artificial Intelligence 288
- Computer Vision and Pattern Recognition 132
- Information Systems 127
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 93 | |
| 2 | 2013 | 56 | |
| 3 | 2018 | 47 | |
| 4 | 2013 | 42 | |
| 5 | 2015 | 38 | |
| 6 | 2017 | 36 | |
| 7 | 2015 | 27 | |
| 8 | 2016 | 22 | |
| 9 | 2016 | 21 | |
| 10 | 2015 | 18 | |
| 11 | 2017 | 17 | |
| 12 | 2018 | 15 | |
| 13 | Smart Drill-Down: A New Data Exploration Operator. | 2015 | 14 |
| 14 | 2016 | 12 | |
| 15 | 2012 | 10 | |
| 16 | 2016 | 9 | |
| 17 | 2017 | 7 | |
| 18 | 2011 | 4 | |
| 19 | 2025 | 4 | |
| 20 | Engineering Security and Performance with Cipherbase. | 2012 | 2 |
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 23 papers that have together received 496 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), Mobile Crowdsensing and Crowdsourcing (3 papers), Distributed systems and fault tolerance (3 papers), Complexity and Algorithms in Graphs (3 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Computer Science Applications (136 citations), Signal Processing (110 citations), Artificial Intelligence (288 citations), Computer Vision and Pattern Recognition (132 citations) and Information Systems (127 citations). Manas Joglekar has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Héctor García-Molina, Aditya Parameswaran, Christopher Ré, Adam Marcus, Vasilis Verroios, Semih Salihoğlu, Frank McSherry, Khaled Ammar, Raghav Kaushik and Ken Eguro. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Theoretical Computer Science, Theory of Computing Systems and Formal Methods in System Design.
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.