Michael Zargham

1.1k total citations
23 papers, 588 citations indexed

About

Michael Zargham is a scholar working on Computer Networks and Communications, Information Systems and Management Information Systems. According to data from OpenAlex, Michael Zargham has authored 23 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Information Systems and 5 papers in Management Information Systems. Recurrent topics in Michael Zargham's work include Blockchain Technology Applications and Security (8 papers), Complex Network Analysis Techniques (4 papers) and Distributed Control Multi-Agent Systems (4 papers). Michael Zargham is often cited by papers focused on Blockchain Technology Applications and Security (8 papers), Complex Network Analysis Techniques (4 papers) and Distributed Control Multi-Agent Systems (4 papers). Michael Zargham collaborates with scholars based in United States, Austria and Australia. Michael Zargham's co-authors include Ali Jadbabaie, Víctor M. Preciado, George J. Pappas, Chinwendu Enyioha, Asuman Ozdaglar, Alejandro Ribeiro, Ermin Wei, Henry Kim, Michel Bauwens and Jonathan A. Abbott and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Computer.

In The Last Decade

Michael Zargham

21 papers receiving 566 citations

Peers

Michael Zargham
Moez Draief United Kingdom
Marc Lelarge France
Qizhi He China
Nino Antulov-Fantulin Switzerland
M. Amin Rahimian United States
Mustafa Mamat Malaysia
Terence Hung Singapore
Chris J. Kuhlman United States
Sylvain Sorin France
Eran Shir Israel
Moez Draief United Kingdom
Michael Zargham
Citations per year, relative to Michael Zargham Michael Zargham (= 1×) peers Moez Draief

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-authorship network of co-authors of Michael Zargham

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Zargham. A scholar is included among the top collaborators of Michael Zargham based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Zargham. Michael Zargham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mihailov, Alexander, et al.. (2023). Complex Systems Modeling of Community Inclusion Currencies. Computational Economics. 64(2). 1259–1294. 4 indexed citations
2.
Zargham, Michael, et al.. (2022). Permissionlessness. Internet Policy Review. 11(2). 5 indexed citations
3.
Rennie, Ellie, Michael Zargham, Joshua Tan, et al.. (2022). Toward a Participatory Digital Ethnography of Blockchain Governance. Qualitative Inquiry. 28(7). 837–847. 19 indexed citations
4.
Zargham, Michael, et al.. (2022). Aligning ‘Decentralized Autonomous Organization’ to Precedents in Cybernetics. SSRN Electronic Journal. 13 indexed citations
5.
Zargham, Michael, et al.. (2022). The Ethnography of a ‘Decentralized Autonomous Organization’ (DAO): De‐mystifying Algorithmic Systems. Ethnographic Praxis in Industry Conference Proceedings. 2022(1). 74–97. 4 indexed citations
6.
Zargham, Michael, et al.. (2021). Challenges and Approaches to Scaling the Global Commons. SHILAP Revista de lepidopterología. 4. 20 indexed citations
7.
Zargham, Michael, et al.. (2020). From Curved Bonding to Configuration Spaces. 1–3. 12 indexed citations
8.
Zargham, Michael, et al.. (2020). On modeling blockchain-enabled economic networks as stochastic dynamical systems. Applied Network Science. 5(1). 12 indexed citations
9.
Zargham, Michael, et al.. (2019). Foundations of Cryptoeconomic Systems. ePubWU Institutional Repository (Wirtschaftsuniversität Wien). 18 indexed citations
10.
Laskowski, Marek, et al.. (2019). Token Economics in Real-Life: Cryptocurrency and Incentives Design for Insolar’s Blockchain Network. SSRN Electronic Journal. 4 indexed citations
11.
Preciado, Víctor M., Michael Zargham, & David Sun. (2014). A convex framework to control spreading processes in directed networks. 1–6. 6 indexed citations
12.
Zargham, Michael, Alejandro Ribeiro, & Ali Jadbabaie. (2014). Discounted integral priority routing for data networks. 12. 1993–1998.
13.
Zargham, Michael, et al.. (2014). On convergence rate of Accelerated Dual Descent Algorithm. 179–184.
14.
Zargham, Michael, Alejandro Ribeiro, Asuman Ozdaglar, & Ali Jadbabaie. (2014). Accelerated Dual Descent for Network Flow Optimization. IEEE Transactions on Automatic Control. 59(4). 905–920. 72 indexed citations
15.
Preciado, Víctor M., Michael Zargham, Chinwendu Enyioha, Ali Jadbabaie, & George J. Pappas. (2013). Optimal Resource Allocation for Network Protection: A Geometric Programming Approach.. arXiv (Cornell University). 23 indexed citations
16.
Preciado, Víctor M., Michael Zargham, Chinwendu Enyioha, Ali Jadbabaie, & George J. Pappas. (2013). Optimal vaccine allocation to control epidemic outbreaks in arbitrary networks. 7486–7491. 98 indexed citations
17.
Zargham, Michael, Alejandro Ribeiro, & Ali Jadbabaie. (2013). Accelerated backpressure algorithm. 2269–2275. 21 indexed citations
18.
Zargham, Michael, Alejandro Ribeiro, & Ali Jadbabaie. (2012). A distributed line search for network optimization. 472–477. 12 indexed citations
19.
Wei, Ermin, Michael Zargham, Asuman Ozdaglar, & Ali Jadbabaie. (2011). On dual convergence of the distributed Newton method for Network Utility Maximization. 6612–6617. 10 indexed citations
20.
Jadbabaie, Ali, Asuman Ozdaglar, & Michael Zargham. (2009). A distributed newton method for network optimization. 2736–2741. 52 indexed citations

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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