Prashanth Pappu

442 total citations
10 papers, 306 citations indexed

About

Prashanth Pappu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Prashanth Pappu has authored 10 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 3 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Prashanth Pappu's work include Interconnection Networks and Systems (7 papers), Software-Defined Networks and 5G (6 papers) and Network Traffic and Congestion Control (4 papers). Prashanth Pappu is often cited by papers focused on Interconnection Networks and Systems (7 papers), Software-Defined Networks and 5G (6 papers) and Network Traffic and Congestion Control (4 papers). Prashanth Pappu collaborates with scholars based in United States, South Korea and China. Prashanth Pappu's co-authors include Marios Iliofotou, Michalis Faloutsos, Michael Mitzenmacher, George Varghese, Sumeet Singh, Tilman Wolf, T. J. Kim, Mark A. Franklin, Joseph Turner and Ken Wong and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, Computer Networks and Open Scholarship Institutional Repository (Washington University in St. Louis).

In The Last Decade

Prashanth Pappu

10 papers receiving 282 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prashanth Pappu United States 8 292 193 58 51 38 10 306
Balachander Krishnamurthy United States 6 324 1.1× 163 0.8× 28 0.5× 65 1.3× 71 1.9× 12 354
K. Sarac United States 9 260 0.9× 164 0.8× 104 1.8× 30 0.6× 12 0.3× 15 279
Evi Nemeth United States 10 249 0.9× 108 0.6× 35 0.6× 36 0.7× 49 1.3× 22 314
Daniel Waddington United States 10 230 0.8× 81 0.4× 82 1.4× 18 0.4× 62 1.6× 32 304
M. Weissman United States 3 171 0.6× 93 0.5× 27 0.5× 21 0.4× 71 1.9× 6 224
Masashi Eto Japan 7 293 1.0× 233 1.2× 17 0.3× 178 3.5× 72 1.9× 19 327
Jianning Mai United States 5 473 1.6× 331 1.7× 219 3.8× 30 0.6× 47 1.2× 6 520
Ashley Flavel United States 7 258 0.9× 85 0.4× 22 0.4× 20 0.4× 41 1.1× 11 272
Taoufik En-Najjary France 10 480 1.6× 151 0.8× 12 0.2× 29 0.6× 51 1.3× 26 503
Daniela Brauckhoff Switzerland 7 249 0.9× 239 1.2× 13 0.2× 52 1.0× 45 1.2× 8 286

Countries citing papers authored by Prashanth Pappu

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Pappu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashanth Pappu

This figure shows the co-authorship network connecting the top 25 collaborators of Prashanth Pappu. A scholar is included among the top collaborators of Prashanth Pappu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prashanth Pappu. Prashanth Pappu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Iliofotou, Marios, T. J. Kim, Michalis Faloutsos, et al.. (2011). Graption: A graph-based P2P traffic classification framework for the internet backbone. Computer Networks. 55(8). 1909–1920. 41 indexed citations
2.
Iliofotou, Marios, T. J. Kim, Michalis Faloutsos, et al.. (2009). Graph-Based P2P Traffic Classification at the Internet Backbone. 1–6. 47 indexed citations
3.
Iliofotou, Marios, Prashanth Pappu, Michalis Faloutsos, et al.. (2007). Network monitoring using traffic dispersion graphs (tdgs). 315–320. 127 indexed citations
4.
Pappu, Prashanth, et al.. (2004). Distributed queueing in scalable high performance routers. 3. 1633–1642. 13 indexed citations
5.
Pappu, Prashanth & Joseph Turner. (2004). Stress resistant scheduling algorithms for CIOQ switches. 47. 132–143. 2 indexed citations
6.
Pappu, Prashanth, Jonathan Turner, & Ken Wong. (2004). Work-conserving distributed schedulers for Terabit routers. ACM SIGCOMM Computer Communication Review. 34(4). 257–268. 1 indexed citations
7.
Pappu, Prashanth, Jonathan Turner, & Ken Wong. (2004). Work-conserving distributed schedulers for Terabit routers. 257–268. 10 indexed citations
8.
Kuhns, Fred, John DeHart, R. Keller, et al.. (2003). Design and evaluation of a high-performance dynamically extensible router. 2. 42–64. 19 indexed citations
9.
Wolf, Tilman, Prashanth Pappu, & Mark A. Franklin. (2003). Predictive scheduling of network processors. Computer Networks. 41(5). 601–621. 18 indexed citations
10.
Pappu, Prashanth & Tilman Wolf. (2003). Scheduling processing resources in programmable routers. Open Scholarship Institutional Repository (Washington University in St. Louis). 1. 104–112. 28 indexed citations

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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