Deepak Maram
Impact in
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- Data Management and Algorithms
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- Advanced Database Systems and Queries
Papers in ⓘ
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- Data Management and Algorithms 2
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- Cryptography and Data Security 3
- Data Stream Mining Techniques 1
- Co-authors
- Immanuel Trummer (2 shared papers)Samuel H. Moseley (2 shared papers)Thomas H. Spreen (2 shared papers)Fan Zhang (1 shared paper)Yupeng Zhang (1 shared paper)Ari Juels (1 shared paper)Dawn Song (1 shared paper)Carol Taylor West (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (1 paper)Journal of Regional Science (1 paper)ACM Transactions on Database Systems (1 paper)Journal of Agricultural and Applied Economics (1 paper)Lirias (KU Leuven) (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Deepak Maram
6 papers receiving 101 citations
Peers
Comparison fields: 5 of 28
- Signal Processing 28
- Computer Networks and Communications 47
- Information Systems 45
- Artificial Intelligence 59
- Management Science and Operations Research 10
Countries citing papers authored by Deepak Maram
This map shows the geographic impact of Deepak Maram'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 Deepak Maram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Maram more than expected).
Fields of papers citing papers by Deepak Maram
This network shows the impact of papers produced by Deepak Maram. 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 Deepak Maram. The network helps show where Deepak Maram may publish in the future.
Co-authors
The 15 scholars most cited alongside Deepak Maram, 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 | 2019 | 35 | |
| 2 | 2021 | 27 | |
| 3 | 2018 | 22 | |
| 4 | 1996 | 10 | |
| 5 | 2001 | 9 | |
| 6 | 2024 | 4 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 |
About Deepak Maram
Deepak Maram is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Networks and Communications and Economics and Econometrics, having authored 8 papers that have together received 107 indexed citations. Recurring topics across this work include Cryptography and Data Security (3 papers), Blockchain Technology Applications and Security (3 papers), Data Management and Algorithms (2 papers), Advanced Database Systems and Queries (2 papers), Data Stream Mining Techniques (1 paper), Housing Market and Economics (1 paper), Cloud Data Security Solutions (1 paper) and Complexity and Algorithms in Graphs (1 paper). The work is most often cited by research in Signal Processing (28 citations), Computer Networks and Communications (47 citations), Information Systems (45 citations), Artificial Intelligence (59 citations) and Management Science and Operations Research (10 citations). Deepak Maram has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Immanuel Trummer, Samuel H. Moseley, Thomas H. Spreen, Fan Zhang, Yupeng Zhang, Ari Juels, Dawn Song, Carol Taylor West, Junxiong Wang and John J. VanSickle. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Regional Science, ACM Transactions on Database Systems, Journal of Agricultural and Applied Economics and Lirias (KU Leuven).
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.