Ramasuri Narayanam

899 citations
31 papers · 555 · h-index 9

Impact in

Papers in

Ramasuri Narayanam

28 papers receiving 528 citations

Peers

Ramasuri Narayanam
Comparison fields: 5 of 65
  • Statistical and Nonlinear Physics 327
  • Management Science and Operations Research 93
  • Artificial Intelligence 206
  • Computer Science Applications 29
  • Computational Mathematics 3
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Citations per field
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Citations per year

Countries citing papers authored by Ramasuri Narayanam

Since Specialization
Citations

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

Fields of papers citing papers by Ramasuri Narayanam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ramasuri Narayanam, 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 Ramasuri Narayanam Line = papers co-authored together Ramasuri Narayanam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010270
2 202151
3
Link label prediction in signed social networks
201332
4
Computational analysis of connectivity games with applications to the investigation of terrorist networks
201331
5 201527
6
A game theory inspired, decentralized, local information based algorithm for community detection in social graphs
201224
7 202220
8 201018
9 201616
10 20118
11 20137
12 20137
13 20217
14 20186
15 20164
16
Aggregate demand-based real-time pricing mechanism for the smart grid: a game-theoretic analysis
20154
17 20214
18 20133
19 20123
20 20162

About Ramasuri Narayanam

Ramasuri Narayanam is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 31 papers that have together received 555 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (20 papers), Opinion Dynamics and Social Influence (15 papers), Game Theory and Applications (14 papers), Advanced Graph Neural Networks (8 papers), Privacy-Preserving Technologies in Data (4 papers), Spam and Phishing Detection (3 papers), Experimental Behavioral Economics Studies (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (327 citations), Management Science and Operations Research (93 citations), Artificial Intelligence (206 citations), Computer Science Applications (29 citations) and Computational Mathematics (3 citations). Ramasuri Narayanam has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Y. Narahari, Lokesh Nagalapatti, Tanmoy Chakraborty, Vikas Garg, Priyanka Agrawal, Seema Nagar, Ruhi Sharma Mittal, Amit A. Nanavati, Tomasz Michalak and Michael Wooldridge. Their work appears in journals such as Social Network Analysis and Mining, Social Networks, IEEE Transactions on Automation Science and Engineering, Knowledge and Information Systems and ACM SIGecom Exchanges.

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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