Jeffrey Erman

3.3k total citations · 1 hit paper
29 papers, 2.5k citations indexed

About

Jeffrey Erman is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jeffrey Erman has authored 29 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 17 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Jeffrey Erman's work include Green IT and Sustainability (15 papers), Caching and Content Delivery (14 papers) and Internet Traffic Analysis and Secure E-voting (11 papers). Jeffrey Erman is often cited by papers focused on Green IT and Sustainability (15 papers), Caching and Content Delivery (14 papers) and Internet Traffic Analysis and Secure E-voting (11 papers). Jeffrey Erman collaborates with scholars based in United States, Canada and India. Jeffrey Erman's co-authors include Anirban Mahanti, Martin Arlitt, Alexandre Gerber, Carey Williamson, Jeffrey Pang, Subhabrata Sen, Oliver Spatscheck, Ira L. Cohen, Z. Morley Mao and K. K. Ramakrishnan and has published in prestigious journals such as IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review and IEEE Internet Computing.

In The Last Decade

Jeffrey Erman

29 papers receiving 2.3k citations

Hit Papers

Traffic classification using clustering algorithms 2006 2026 2012 2019 2006 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Traffic classification using clustering algorithms
    2006 518 citations Jeffrey Erman, Martin Arlitt et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Erman United States 21 2.0k 1.3k 595 477 430 29 2.5k
Mark Allman United States 29 3.7k 1.8× 1.1k 0.8× 1.6k 2.8× 303 0.6× 176 0.4× 104 4.2k
Aiko Pras Netherlands 28 2.4k 1.2× 1.3k 1.0× 414 0.7× 570 1.2× 136 0.3× 149 2.8k
Alessandro Finamore Italy 18 1.2k 0.6× 615 0.5× 255 0.4× 203 0.4× 333 0.8× 47 1.4k
Aleksandar Kuzmanovic United States 21 1.7k 0.8× 728 0.6× 290 0.5× 203 0.4× 113 0.3× 79 1.9k
Harsha V. Madhyastha United States 24 2.1k 1.0× 771 0.6× 407 0.7× 137 0.3× 216 0.5× 81 2.6k
Fabián E. Bustamante United States 25 2.2k 1.1× 544 0.4× 580 1.0× 74 0.2× 176 0.4× 121 2.6k
Tao Peng China 18 820 0.4× 1.2k 0.9× 226 0.4× 354 0.7× 101 0.2× 51 1.7k
Rocky K. C. Chang Hong Kong 21 1.6k 0.8× 857 0.7× 348 0.6× 610 1.3× 814 1.9× 115 2.2k
Georgios Smaragdakis Germany 27 2.6k 1.3× 581 0.5× 1.1k 1.8× 128 0.3× 129 0.3× 101 3.0k
Maurizio Matteo Munafò Italy 18 1.3k 0.7× 500 0.4× 295 0.5× 154 0.3× 311 0.7× 66 1.6k

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-authorship network of co-authors of Jeffrey Erman

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Erman. A scholar is included among the top collaborators of Jeffrey Erman 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 Jeffrey Erman. Jeffrey Erman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ahmed, Faraz, Jeffrey Erman, Zihui Ge, et al.. (2017). Monitoring quality-of-experience for operational cellular networks using machine-to-machine traffic. 36. 1–9. 1 indexed citations
2.
Ahmed, Faraz, et al.. (2016). Detecting and localizing end-to-end performance degradation for cellular data services. 1–9. 14 indexed citations
3.
Chen, Jiasi, Mung Chiang, Jeffrey Erman, et al.. (2015). Fair and optimal resource allocation for LTE multicast (eMBMS): Group partitioning and dynamics. 1266–1274. 79 indexed citations
4.
Ahmed, Faraz, Jeffrey Erman, Zihui Ge, et al.. (2015). Detecting and Localizing End-to-End Performance Degradation for Cellular Data Services. ACM SIGMETRICS Performance Evaluation Review. 43(1). 459–460. 1 indexed citations
5.
Ahmed, Faraz, Jeffrey Erman, Zihui Ge, et al.. (2015). Detecting and Localizing End-to-End Performance Degradation for Cellular Data Services. 459–460. 6 indexed citations
6.
Zou, Xuan Kelvin, Jeffrey Erman, Vijay Gopalakrishnan, et al.. (2015). Can Accurate Predictions Improve Video Streaming in Cellular Networks?. 57–62. 110 indexed citations
7.
Shafiq, Muhammad, Jeffrey Erman, Lusheng Ji, et al.. (2014). Understanding the impact of network dynamics on mobile video user engagement. 367–379. 96 indexed citations
8.
Shafiq, Muhammad, Jeffrey Erman, Lusheng Ji, et al.. (2014). Understanding the impact of network dynamics on mobile video user engagement. ACM SIGMETRICS Performance Evaluation Review. 42(1). 367–379. 53 indexed citations
9.
Banerjee, Arijit, et al.. (2013). MOCA. 11–16. 21 indexed citations
10.
Erman, Jeffrey & K. K. Ramakrishnan. (2013). Understanding the super-sized traffic of the super bowl. 353–360. 46 indexed citations
11.
Jin, Yu, Nick Duffield, Jeffrey Erman, et al.. (2012). A Modular Machine Learning System for Flow-Level Traffic Classification in Large Networks. ACM Transactions on Knowledge Discovery from Data. 6(1). 1–34. 75 indexed citations
12.
Erman, Jeffrey, et al.. (2011). Over the top video. 127–136. 98 indexed citations
13.
Xu, Qiang, Jeffrey Erman, Alexandre Gerber, et al.. (2011). Identifying diverse usage behaviors of smartphone apps. 329–344. 308 indexed citations
14.
Erman, Jeffrey, Alexandre Gerber, & Subhabrata Sen. (2011). HTTP in the home. ACM SIGCOMM Computer Communication Review. 41(1). 90–95. 6 indexed citations
15.
Erman, Jeffrey, Alexandre Gerber, Mohammad Taghi Hajiaghayi, Dan Pei, & Oliver Spatscheck. (2009). Network-aware forward caching. 291–300. 79 indexed citations
16.
Erman, Jeffrey, Anirban Mahanti, Martin Arlitt, & Carey Williamson. (2007). Identifying and discriminating between web and peer-to-peer traffic in the network core. 883–892. 153 indexed citations
17.
Erman, Jeffrey, Anirban Mahanti, Martin Arlitt, Ira L. Cohen, & Carey Williamson. (2007). Semi-supervised network traffic classification. ACM SIGMETRICS Performance Evaluation Review. 35(1). 369–370. 43 indexed citations
18.
Erman, Jeffrey, Anirban Mahanti, Martin Arlitt, Ira L. Cohen, & Carey Williamson. (2007). Offline/realtime traffic classification using semi-supervised learning. Performance Evaluation. 64(9-12). 1194–1213. 217 indexed citations
19.
Erman, Jeffrey, Anirban Mahanti, Martin Arlitt, Ira L. Cohen, & Carey Williamson. (2007). Semi-supervised network traffic classification. 369–370. 71 indexed citations
20.
Erman, Jeffrey, Martin Arlitt, & Anirban Mahanti. (2006). Traffic classification using clustering algorithms. 281–286. 518 indexed citations breakdown →

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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