Matt Mathis

2.9k citations
26 papers · 817 indexed · h-index 12

Impact in

Papers in

Matt Mathis

25 papers receiving 721 citations

Peers

Matt Mathis
Comparison fields: 5 of 34
  • Computer Networks and Communications 785
  • Hardware and Architecture 65
  • Electrical and Electronic Engineering 243
  • Artificial Intelligence 126
  • Computer Vision and Pattern Recognition 65
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Countries citing papers authored by Matt Mathis

Since Specialization
Citations

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

Fields of papers citing papers by Matt Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Matt Mathis, 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 Matt Mathis Line = papers co-authored together Matt Mathis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998220
2 1998171
3 200358
4
Trickle: rate limiting YouTube video streaming
201250
5 200249
6 201145
7 200343
8
Tail Loss Probe (TLP): An Algorithm for Fast Recovery of Tail Losses
201331
9
packetdrill: scriptable network stack testing, from sockets to packets
201327
10
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
200226
11
The Rate-Halving Algorithm for TCP Congestion Control
199918
12 200217
13 201910
14 20029
15
RFC6928 - Increasing TCP's Initial Window
20139
16
TCP Extended Statistics MIB
20077
17
TReno Bulk Transfer Capacity
19997
18 20227
19 20134
20
Fragmentation Considered Very Harmful
20042

About Matt Mathis

Matt Mathis is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence and Software, having authored 26 papers that have together received 817 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (15 papers), Software-Defined Networks and 5G (6 papers), Peer-to-Peer Network Technologies (4 papers), Advanced Data Storage Technologies (4 papers), Caching and Content Delivery (2 papers), Distributed systems and fault tolerance (2 papers), Distributed and Parallel Computing Systems (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (785 citations), Hardware and Architecture (65 citations), Electrical and Electronic Engineering (243 citations), Artificial Intelligence (126 citations) and Computer Vision and Pattern Recognition (65 citations). Matt Mathis has collaborated with scholars based in United States and Canada. Frequent co-authors include Vern Paxson, Jamshid Mahdavi, Andrew K. Adams, Guy T. Almes, Yuchung Cheng, Nandita Dukkipati, Monia Ghobadi, Brian Tierney, Ankur Jain and Neal Cardwell. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, IEEE Communications Magazine, Conference on High Performance Computing (Supercomputing), RFC and USENIX Annual Technical Conference.

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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