Mark A. Shayman

2.4k citations
106 papers · 1.6k · h-index 24

Impact in

Papers in

Mark A. Shayman

99 papers receiving 1.5k citations

Peers

Mark A. Shayman
Comparison fields: 5 of 69
  • Computer Networks and Communications 804
  • Computational Theory and Mathematics 390
  • Discrete Mathematics and Combinatorics 54
  • Computational Mathematics 10
  • Numerical Analysis 91
Replace Joachim Rosenthal with:
Joachim Rosenthal United States
W. Steven Gray United States
Dongdai Lin China
George E. Collins United States
Raphaël M. Jungers Belgium
Hongxing Wang China
Komei Fukuda Switzerland
Christian Commault France
Jennifer Seberry Australia
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Citations per field
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Citations per year

Countries citing papers authored by Mark A. Shayman

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Shayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Energy Efficient Routing in Wireless Sensor Networks
200390
2 200690
3 198784
4 198381
5 198372
6 198667
7 200364
8 199558
9 199657
10 200255
11 200646
12 198744
13 199743
14 200437
15 198534
16 198832
17 199831
18 200730
19 199529
20 200729

About Mark A. Shayman

Mark A. Shayman is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computational Theory and Mathematics, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (21 papers), Network Traffic and Congestion Control (21 papers), Mobile Ad Hoc Networks (21 papers), Energy Efficient Wireless Sensor Networks (13 papers), Cooperative Communication and Network Coding (10 papers), Software-Defined Networks and 5G (10 papers), Petri Nets in System Modeling (10 papers) and Distributed systems and fault tolerance (9 papers). The work is most often cited by research in Computer Networks and Communications (804 citations), Computational Theory and Mathematics (390 citations), Discrete Mathematics and Combinatorics (54 citations), Computational Mathematics (10 citations) and Numerical Analysis (91 citations). Mark A. Shayman has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Mehdi Kalantari, Ratnesh Kumar, Abhishek Kashyap, Zheng Zhou, Samir Khuller, Tzyh‐Jong Tarn, Uwe Helmke, Richard J. La, Filippo De Mari and Steven I. Marcus. Their work appears in journals such as SIAM Journal on Control and Optimization, IEEE Transactions on Automatic Control, Computer Networks, Transactions of the American Mathematical Society and Systems & Control Letters.

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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