Prashanth Menon

603 citations
12 papers · 435 · h-index 8

Impact in

Papers in

    • Advanced Database Systems and Queries 7
    • Advanced Data Storage Technologies 5
    • Distributed systems and fault tolerance 4
    • Caching and Content Delivery 3
    • Software System Performance and Reliability 2
    • Data Management and Algorithms 3

Prashanth Menon

12 papers receiving 412 citations

Peers

Prashanth Menon
Comparison fields: 5 of 25
  • Computer Networks and Communications 377
  • Hardware and Architecture 73
  • Signal Processing 102
  • Information Systems 194
  • Artificial Intelligence 128
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Prashanth Menon relative to Matthew Perron United States Matthew Perron's profile →
Citations per field
00.5×1.5×2.2×
Matthew Perron · 1×
Citations per year

Countries citing papers authored by Prashanth Menon

Since Specialization
Citations

This map shows the geographic impact of Prashanth Menon'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 Prashanth Menon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashanth Menon more than expected).

Fields of papers citing papers by Prashanth Menon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashanth Menon. 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 Prashanth Menon. The network helps show where Prashanth Menon may publish in the future.

Co-authors

The 19 scholars most cited alongside Prashanth Menon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Prashanth Menon Line = papers co-authored together Prashanth Menon links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Self-Driving Database Management Systems.
2017138
2 2016100
3 201774
4 202129
5 202123
6 201423
7 202016
8
External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems
201915
9
Optimizing key-value stores for hybrid storage architectures
20145
10 20245
11 20215
12 20202

About Prashanth Menon

Prashanth Menon is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Health Information Management, having authored 12 papers that have together received 435 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Advanced Data Storage Technologies (5 papers), Distributed systems and fault tolerance (4 papers), Data Management and Algorithms (3 papers), Caching and Content Delivery (3 papers), Software System Performance and Reliability (2 papers), Cloud Computing and Resource Management (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (377 citations), Hardware and Architecture (73 citations), Signal Processing (102 citations), Information Systems (194 citations) and Artificial Intelligence (128 citations). Prashanth Menon has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Andrew Pavlo, Joy Arulraj, Todd C. Mowry, Dana Van Aken, Lin Ma, Lin Ma, Yingjun Wu, Anthony Tomasic, Matthew Perron and Haibin Lin. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Journal of Internet Services and Information Security, DSpace@MIT (Massachusetts Institute of Technology) and IEEE Data(base) Engineering Bulletin.

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.

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