S. Sahu

416 citations
16 papers · 259 · h-index 9

Impact in

    • Peer-to-Peer Network Technologies
    • Caching and Content Delivery
    • Network Traffic and Congestion Control
    • Opportunistic and Delay-Tolerant Networks
    • Advanced Data Storage Technologies
    • Software-Defined Networks and 5G
    • Cloud Computing and Resource Management

Papers in

S. Sahu

14 papers receiving 233 citations

Peers

S. Sahu
Comparison fields: 5 of 21
  • Computer Networks and Communications 248
  • Information Systems 33
  • Management Information Systems 11
  • Statistical and Nonlinear Physics 14
  • Health Informatics 1
Replace Fabien Mathieu with:
Fabien Mathieu France
Sunil Suresh Kulkarni United States
Z. Liu United States
Ruggero Morselli United States
Gerald Kunzmann Germany
Chris Lesniewski-Laas United States
Andreas Binzenhöfer Germany
Sam Crawford United States
Nikitas Liogkas United States
K. Guo United States
S. Sahu relative to Fabien Mathieu France Fabien Mathieu's profile →
Citations per field
00.5×
Fabien Mathieu · 1×
Citations per year

Countries citing papers authored by S. Sahu

Since Specialization
Citations

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

Fields of papers citing papers by S. Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside S. Sahu, 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 S. Sahu Line = papers co-authored together S. Sahu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200354
2 200447
3 200336
4 200536
5 200325
6 200422
7 201111
8 200510
9 20038
10 20234
11 20232
12 20052
13 20241
14 20051
15 20240
16 20060

About S. Sahu

S. Sahu is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 16 papers that have together received 259 indexed citations. Recurring topics across this work include Caching and Content Delivery (10 papers), Peer-to-Peer Network Technologies (9 papers), Network Traffic and Congestion Control (4 papers), Spam and Phishing Detection (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Mobile Ad Hoc Networks (2 papers) and Advanced Optical Network Technologies (1 paper). The work is most often cited by research in Computer Networks and Communications (248 citations), Information Systems (33 citations), Management Information Systems (11 citations), Statistical and Nonlinear Physics (14 citations) and Health Informatics (1 citation). S. Sahu has collaborated with scholars based in United States, India and France. Frequent co-authors include Dan Rubenstein, Angelos Stavrou, Jim Kurose, Don Towsley, Zhen Liu, Naceur Malouch, Zhen Lin, Augustin Chaintreau, François Baccelli and Anton Riabov. Their work appears in journals such as IBM Systems Journal, IEEE Journal on Selected Areas in Communications, IEEE/ACM Transactions on Networking, International Journal of Communication Systems and International Journal of Electronics.

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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