Jack Brassil

1.7k citations
53 papers · 1.1k · h-index 13

Impact in

Papers in

Jack Brassil

48 papers receiving 911 citations

Peers

Jack Brassil
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 707
  • Computer Networks and Communications 288
  • Information Systems 209
  • Signal Processing 86
  • Media Technology 70
Replace R.L. Lagendijk with:
R.L. Lagendijk Netherlands
Lisa M. Marvel United States
Eric R. Verheul Netherlands
Minoru Etoh Japan
Serge Vaudenay Switzerland
Weidong Kou China
Xiaoyuan Yang China
Pei-Yu Lin Taiwan
Behrouz A. Forouzan United States
Wei‐Liang Tai Taiwan
Jack Brassil relative to R.L. Lagendijk Netherlands R.L. Lagendijk's profile →
Citations per field
00.5×3.3×
R.L. Lagendijk · 1×
Citations per year

Countries citing papers authored by Jack Brassil

Since Specialization
Citations

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

Fields of papers citing papers by Jack Brassil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995255
2 1999239
3 2002138
4 200256
5 199539
6 200434
7
Content Services Network: The Architecture and Protocols
200131
8 200724
9 200520
10
Hiding Information in Document Images
199415
11 202114
12 200614
13 200513
14 201512
15 201212
16 200211
17 201311
18 201011
19 199411
20 200210

About Jack Brassil

Jack Brassil is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (23 papers), Software-Defined Networks and 5G (11 papers), Peer-to-Peer Network Technologies (10 papers), Wireless Networks and Protocols (9 papers), Caching and Content Delivery (8 papers), Multimedia Communication and Technology (8 papers), Mobile Ad Hoc Networks (6 papers) and Advanced Optical Network Technologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (707 citations), Computer Networks and Communications (288 citations), Information Systems (209 citations), Signal Processing (86 citations) and Media Technology (70 citations). Jack Brassil has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include N.F. Maxemchuk, Steven H. Low, Lawrence O’Gorman, R.L. Cruz, Puneet Sharma, Kang G. Shin, Sung-Ju Lee, Bo Shen, Wei‐Ying Ma and Sung-Ju Lee. Their work appears in journals such as IEEE Transactions on Mobile Computing, ACM SIGCOMM Computer Communication Review, IEEE Transactions on Parallel and Distributed Systems, IEEE Communications Magazine and IEEE Journal on Selected Areas in Communications.

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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