Michael Zargham

1.1k citations
23 papers · 588 · h-index 13

Impact in

Papers in

Michael Zargham

21 papers receiving 566 citations

Peers

Michael Zargham
Comparison fields: 5 of 73
  • Modeling and Simulation 119
  • Statistical and Nonlinear Physics 200
  • Computer Networks and Communications 225
  • Management Information Systems 38
  • Information Systems 93
Replace Qizhi He with:
Qizhi He China
Mustafa Mamat Malaysia
Nino Antulov-Fantulin Switzerland
Moez Draief United Kingdom
Marc Lelarge France
Georgios Piliouras Singapore
Chris J. Kuhlman United States
Sylvain Sorin France
Mojdeh Mohtashemi United States
Terence Hung Singapore
Michael Zargham relative to Qizhi He China Qizhi He's profile →
Citations per field
00.5×10×20×30×38×
Qizhi He · 1×
Citations per year

Countries citing papers authored by Michael Zargham

Since Specialization
Citations

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

Fields of papers citing papers by Michael Zargham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Michael Zargham, 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 Zargham Line = papers co-authored together Michael Zargham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014168
2 201398
3 201472
4 200952
5
Optimal Resource Allocation for Network Protection: A Geometric Programming Approach.
201323
6 201321
7 202120
8 202219
9 201918
10 202213
11 202012
12 202012
13 201212
14 202111
15 201110
16 20146
17 20225
18 20234
19 20194
20 20224

About Michael Zargham

Michael Zargham is a scholar working on Computer Networks and Communications, Information Systems, Management Information Systems, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 23 papers that have together received 588 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (8 papers), Distributed Control Multi-Agent Systems (4 papers), Complex Network Analysis Techniques (4 papers), Cooperative Communication and Network Coding (4 papers), FinTech, Crowdfunding, Digital Finance (4 papers), Economic theories and models (3 papers), Complex Systems and Time Series Analysis (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). The work is most often cited by research in Modeling and Simulation (119 citations), Statistical and Nonlinear Physics (200 citations), Computer Networks and Communications (225 citations), Management Information Systems (38 citations) and Information Systems (93 citations). Michael Zargham has collaborated with scholars based in United States, Austria and Australia. Frequent co-authors include Ali Jadbabaie, Víctor M. Preciado, Chinwendu Enyioha, George J. Pappas, Asuman Ozdaglar, Alejandro Ribeiro, Primavera De Filippi, Ellie Rennie, Marek Laskowski and Henry Kim. Their work appears in journals such as Qualitative Inquiry, Computational Economics, Computer, IEEE Transactions on Automatic Control and IEEE Transactions on Control of Network Systems.

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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