Jeffrey Erman

3.3k citations
29 papers · 2.5k · 1 hit paper · h-index 21

Impact in

Papers in

Jeffrey Erman

29 papers receiving 2.3k citations

Jeffrey Erman's Hit Papers

Traffic classification using clustering algorithms 2006 · 516 citations
5160+6+13Years since publication100200300400500

Peers

Jeffrey Erman
Comparison fields: 5 of 76
  • Computer Networks and Communications 2.0k
  • Signal Processing 477
  • Artificial Intelligence 1.3k
  • Hardware and Architecture 170
  • Computer Vision and Pattern Recognition 431
Replace Ethan Katz-Bassett with:
Ethan Katz-Bassett United States
Mark Allman United States
Aiko Pras Netherlands
Aleksandar Kuzmanovic United States
Alessandro Finamore Italy
Fabián E. Bustamante United States
Harsha V. Madhyastha United States
Claudio Soriente United States
Georgios Smaragdakis Germany
Paul Syverson United States
Jeffrey Erman relative to Ethan Katz-Bassett United States Ethan Katz-Bassett's profile →
Citations per field
00.5×1.5×1.8×
Ethan Katz-Bassett · 1×
Citations per year

Countries citing papers authored by Jeffrey Erman

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Erman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Traffic classification using clustering algorithms
Hit paper breakdown →
2006516
2 2011309
3 2007217
4 2007152
5 2011130
6 2015111
7 201198
8 201496
9 201283
10 200681
11 200979
12 201579
13 201276
14 200770
15 201358
16 201453
17 201346
18 200743
19 200742
20 201525

About Jeffrey Erman

Jeffrey Erman is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 29 papers that have together received 2.5k indexed citations. Recurring topics across this work include Green IT and Sustainability (15 papers), Caching and Content Delivery (14 papers), Internet Traffic Analysis and Secure E-voting (11 papers), Network Security and Intrusion Detection (8 papers), Network Traffic and Congestion Control (7 papers), Image and Video Quality Assessment (6 papers), Software System Performance and Reliability (4 papers) and Network Packet Processing and Optimization (3 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Signal Processing (477 citations), Artificial Intelligence (1.3k citations), Hardware and Architecture (170 citations) and Computer Vision and Pattern Recognition (431 citations). Jeffrey Erman has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Martin Arlitt, Anirban Mahanti, Alexandre Gerber, Carey Williamson, Jeffrey Pang, Subhabrata Sen, Oliver Spatscheck, Ira L. Cohen, Z. Morley Mao and K. K. Ramakrishnan. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE/ACM Transactions on Networking, ACM Transactions on Knowledge Discovery from Data, ACM SIGCOMM Computer Communication Review and IEEE Internet Computing.

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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