Michael J. Marcus

1.4k citations
69 papers · 943 · h-index 13

Impact in

Papers in

Michael J. Marcus

57 papers receiving 857 citations

Peers

Michael J. Marcus
Comparison fields: 5 of 81
  • Computer Networks and Communications 313
  • Aerospace Engineering 320
  • Electrical and Electronic Engineering 721
  • Media Technology 75
  • Signal Processing 21
Replace Ulrich Killat with:
Ulrich Killat Germany
Peter T. Kirstein United Kingdom
Gerard Rowe New Zealand
Paul Kolodzy United States
Tiankui Zhang China
Kari Leppänen Finland
Lingxiang Li China
Lin Bai China
Alessandra Esposito Italy
Michael J. Marcus relative to Ulrich Killat Germany Ulrich Killat's profile →
Citations per field
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Ulrich Killat · 1×
Citations per year

Countries citing papers authored by Michael J. Marcus

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Marcus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Marcus. 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 Michael J. Marcus. The network helps show where Michael J. Marcus may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005306
2 2015133
3 200586
4 201940
5 197732
6 200729
7 198729
8 201426
9 201226
10 200526
11 200923
12 201615
13 201713
14 201911
15 201410
16 201410
17 20218
18 20087
19
THE SECRETS OF A SUCCESSFUL LIAISON.
19936
20 20076

About Michael J. Marcus

Michael J. Marcus is a scholar working on Media Technology, Electrical and Electronic Engineering, Computer Networks and Communications, Economics and Econometrics and Aerospace Engineering, having authored 69 papers that have together received 943 indexed citations. Recurring topics across this work include ICT Impact and Policies (23 papers), Advanced MIMO Systems Optimization (8 papers), Power Line Communications and Noise (8 papers), Wireless Communication Networks Research (8 papers), Cognitive Radio Networks and Spectrum Sensing (7 papers), Telecommunications and Broadcasting Technologies (7 papers), Millimeter-Wave Propagation and Modeling (5 papers) and Auction Theory and Applications (2 papers). The work is most often cited by research in Computer Networks and Communications (313 citations), Aerospace Engineering (320 citations), Electrical and Electronic Engineering (721 citations), Media Technology (75 citations) and Signal Processing (21 citations). Michael J. Marcus has collaborated with scholars based in United States, India and Colombia. Frequent co-authors include Paul Kolodzy, Alexander M. Wyglinski, James A. Roberts, Joseph Evans, Rakesh Rajbanshi, Gary J. Minden, Dinesh Datla, Monisha Ghosh, William L. Berry and Josep Miquel Jornet. Their work appears in journals such as IEEE Wireless Communications, Proceedings of the IEEE, IEEE Microwave Magazine, IEEE Communications Magazine and Journal of Dental Education.

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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