Ciamac C. Moallemi
- Finance top 2%
- Economics and Econometrics top 5%
- Management Science and Operations Research top 2%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Co-authors
- Benjamin Van RoyJacob D. LeshnoGur HubermanMehmet SağlamVivek F. FariasYiping DuMark BroadieGarud Iyengar
- Topics
- Financial Markets and Investment Strategies (15 papers)Complex Systems and Time Series Analysis (10 papers)Economic theories and models (7 papers)
- Partner nations
- United StatesSouth KoreaSwitzerland
In The Last Decade
Ciamac C. Moallemi
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Finance 415
- Economics and Econometrics 364
- Management Science and Operations Research 338
- Computer Networks and Communications 317
- Information Systems 286
Countries citing papers authored by Ciamac C. Moallemi
This map shows the geographic impact of Ciamac C. Moallemi'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 Ciamac C. Moallemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ciamac C. Moallemi more than expected).
Fields of papers citing papers by Ciamac C. Moallemi
This network shows the impact of papers produced by Ciamac C. Moallemi. 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 Ciamac C. Moallemi. The network helps show where Ciamac C. Moallemi may publish in the future.
Co-authorship network of co-authors of Ciamac C. Moallemi
This figure shows the co-authorship network connecting the top 25 collaborators of Ciamac C. Moallemi. A scholar is included among the top collaborators of Ciamac C. Moallemi 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 Ciamac C. Moallemi. Ciamac C. Moallemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 23 | |
| 11 | Convergence of Min-Sum Message-Passing for Convex Optimization | 5 |
| 12 | 3 | |
| 13 | 4 | |
| 14 | A Smoothed Approximate Linear Program | 11 |
| 15 | Convergence of the Min-Sum Message Passing Algorithm for Quadratic Optimization | 11 |
| 16 | Consensus Propagation | 11 |
| 17 | 2 | |
| 18 | Distributed Optimization in Adaptive Networks | 28 |
| 19 | 35 | |
| 20 | 26 |
About Ciamac C. Moallemi
Ciamac C. Moallemi is a scholar working on Finance, Management Science and Operations Research and Management Information Systems, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (15 papers), Complex Systems and Time Series Analysis (10 papers) and Economic theories and models (7 papers). The work is most often cited by research in Finance (415 citations), Management Science and Operations Research (338 citations) and Management Information Systems (139 citations). Ciamac C. Moallemi has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Benjamin Van Roy, Jacob D. Leshno, Gur Huberman, Mehmet Sağlam, Vivek F. Farias, Yiping Du, Mark Broadie, Garud Iyengar, Vijay Desai and Ramesh Johari. Their work appears in journals such as Bioinformatics, Management Science and IEEE Transactions on Information Theory.
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.