Mark Claypool

6.2k citations
168 papers · 4.1k · h-index 29

Impact in

Papers in

Mark Claypool

157 papers receiving 3.8k citations

Peers

Mark Claypool
Comparison fields: 5 of 105
  • Computer Networks and Communications 2.0k
  • Human-Computer Interaction 421
  • Computer Vision and Pattern Recognition 1.4k
  • Information Systems 1.2k
  • Computer Science Applications 243
Replace Henry Lieberman with:
Henry Lieberman United States
Bill N. Schilit United States
Steven P. Reiss United States
Wolfgang Effelsberg Germany
Simon Gibbs Switzerland
Martha E. Pollack United States
George G. Robertson United States
Lawrence A. Rowe United States
Martin Reisslein United States
Marc H. Brown United States
Mark Claypool relative to Henry Lieberman United States Henry Lieberman's profile →
Citations per field
00.5×1.6×
Henry Lieberman · 1×
Citations per year

Countries citing papers authored by Mark Claypool

Since Specialization
Citations

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

Fields of papers citing papers by Mark Claypool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Combining Content-Based and Collaborative Filters in an Online Newspaper
1999477
2 2001441
3 2006366
4 2004234
5 2003133
6 2008116
7 2005106
8 1999105
9 200198
10 201095
11 200693
12 200587
13 200785
14 200182
15 200561
16 201455
17 200649
18 200448
19 200548
20 201245

About Mark Claypool

Mark Claypool is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Sociology and Political Science, Electrical and Electronic Engineering and Signal Processing, having authored 168 papers that have together received 4.1k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (54 papers), Image and Video Quality Assessment (53 papers), Peer-to-Peer Network Technologies (47 papers), Multimedia Communication and Technology (30 papers), Caching and Content Delivery (22 papers), Advanced Wireless Network Optimization (20 papers), Data Visualization and Analytics (18 papers) and Digital Games and Media (18 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Human-Computer Interaction (421 citations), Computer Vision and Pattern Recognition (1.4k citations), Information Systems (1.2k citations) and Computer Science Applications (243 citations). Mark Claypool has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Kajal Claypool, Robert Kinicki, David C. Brown, Matthew M. Sartin, Emmanuel Agu, David Finkel, Mingzhe Li, James H. Nichols, Mingzhe Li and Yubing Wang. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, Multimedia Tools and Applications, IEEE Internet Computing, Multimedia Systems 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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