Mark Claypool

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

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
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Citations per field
00.5×1.6×
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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-authorship network

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
#Work
1 20252
2 20241
3 20241
4 20240
5 20245
6 20240
7 20231
8 20212
9 202111
10
Evaluating Streaming and Latency Compensation in a Cloud-based Game
20194
11 20165
12 201110
13
JavaScript and Flash Overhead in the Web Browser Sandbox
20103
14
Network Characteristics for Server Selection in Online Games
20072
15
Guidelines for selecting practical MPEG group of pictures
200614
16
MTP: A Streaming-Friendly Transport Protocol
20054
17
FairPlayer or FoulPlayer? - Head to Head Performance of RealPlayer Streaming Video Over UDP versus TCP
20026
18
Improving Multimedia Streaming with Content-Aware Video Scaling.
200227
19
Using Redundancy and Interleaving to Ameliorate the Effects of Packet Loss in a Video Stream
20012
20
Combining Content-Based and Collaborative Filters in an Online Newspaper
1999477

About Mark Claypool

Mark Claypool is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Human-Computer Interaction, 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) and Computer Vision and Pattern Recognition (1.4k 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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