Mark Coates

7.0k citations
185 papers · 4.8k · h-index 40

Impact in

Papers in

Mark Coates

180 papers receiving 4.6k citations

Peers

Mark Coates
Comparison fields: 5 of 118
  • Computer Networks and Communications 2.4k
  • Artificial Intelligence 2.0k
  • Statistical and Nonlinear Physics 393
  • Signal Processing 283
  • Ocean Engineering 390
Replace Li Yu with:
Li Yu China
Minyue Fu Australia
Michael Rabbat Canada
Hans‐Andrea Loeliger Switzerland
Kun Liu China
Sergio Barbarossa Italy
Soummya Kar United States
Haipeng Peng China
Genshe Chen United States
Li Zhang China
Mark Coates relative to Li Yu China Li Yu's profile →
Citations per field
00.5×1.5×2.3×
Li Yu · 1×
Citations per year

Countries citing papers authored by Mark Coates

Since Specialization
Citations

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

Fields of papers citing papers by Mark Coates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004273
2 2008226
3 2004215
4 2015160
5 2020145
6
Multifractal Cross-Traffic Estimation
2000135
7 2019130
8 2002123
9 2013120
10
Network Loss Inference Using Unicast End-to-End Measurement
2000113
11 2007108
12 2012108
13 2003103
14 200795
15 202095
16 200787
17
Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements
201184
18 201981
19 201080
20 200474

About Mark Coates

Mark Coates is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Biomedical Engineering and Signal Processing, having authored 185 papers that have together received 4.8k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (49 papers), Distributed Sensor Networks and Detection Algorithms (32 papers), Microwave Imaging and Scattering Analysis (30 papers), Advanced Graph Neural Networks (23 papers), Network Traffic and Congestion Control (17 papers), Distributed Control Multi-Agent Systems (16 papers), Ultrasonics and Acoustic Wave Propagation (14 papers) and Indoor and Outdoor Localization Technologies (12 papers). The work is most often cited by research in Computer Networks and Communications (2.4k citations), Artificial Intelligence (2.0k citations), Statistical and Nonlinear Physics (393 citations), Signal Processing (283 citations) and Ocean Engineering (390 citations). Mark Coates has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Michael Rabbat, Boris N. Oreshkin, Robert Nowak, Tuncer C. Aysal, Milica Popović, Emily Porter, Yunpeng Li, Yingxue Zhang, Rui Castro and Yolanda Tsang. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Signal and Information Processing over Networks, Signal Processing, IEEE Journal of Selected Topics in Signal Processing and IEEE Transactions on Biomedical Engineering.

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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