Sarvenaz Choobdar
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- Complex Network Analysis Techniques 6
- Opinion Dynamics and Social Influence 2
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- Bioinformatics and Genomic Networks 5
- Gene Regulatory Network Analysis 2
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- Data Mining Algorithms and Applications 2
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- Modular Robots and Swarm Intelligence 1
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- Biomedical and Engineering Education 1
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- scientometrics and bibliometrics research 1
- Co-authors
- Fernando SilvaPedro RibeiroAli MarjoviLino MarquesBabak TeimourpourMohammad Mehdi SepehriSrinivasan ParthasarathyJake Crawford
- Cited by
- Statistical and Nonlinear PhysicsMarketingOrganizational Behavior and Human Resource Management
- Journals
- Journal of Strategic Marketing (1 paper)Robotics and Autonomous Systems (1 paper)Data Mining and Knowledge Discovery (1 paper)
- Partner nations
- PortugalUnited StatesSwitzerland
In The Last Decade
Sarvenaz Choobdar
10 papers receiving 113 citations
Peers
Comparison fields: 5 of 49
- Statistical and Nonlinear Physics 38
- Marketing 22
- Organizational Behavior and Human Resource Management 11
- Computational Theory and Mathematics 16
- Computer Networks and Communications 20
Countries citing papers authored by Sarvenaz Choobdar
This map shows the geographic impact of Sarvenaz Choobdar'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 Sarvenaz Choobdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarvenaz Choobdar more than expected).
Fields of papers citing papers by Sarvenaz Choobdar
This network shows the impact of papers produced by Sarvenaz Choobdar. 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 Sarvenaz Choobdar. The network helps show where Sarvenaz Choobdar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarvenaz Choobdar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 12 | |
| 2 | 2018 | 3 | |
| 3 | 2017 | 1 | |
| 4 | 2015 | 2 | |
| 5 | 2015 | 10 | |
| 6 | 2012 | 12 | |
| 7 | 2012 | 25 | |
| 8 | 2012 | 3 | |
| 9 | 2012 | 24 | |
| 10 | 2010 | 27 |
About Sarvenaz Choobdar
Sarvenaz Choobdar is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Computational Theory and Mathematics, Marketing and Organizational Behavior and Human Resource Management, having authored 10 papers that have together received 119 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Bioinformatics and Genomic Networks (5 papers), Gene Regulatory Network Analysis (2 papers), Opinion Dynamics and Social Influence (2 papers), Data Mining Algorithms and Applications (2 papers), Modular Robots and Swarm Intelligence (1 paper), Biomedical and Engineering Education (1 paper) and scientometrics and bibliometrics research (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (38 citations), Marketing (22 citations), Organizational Behavior and Human Resource Management (11 citations), Computational Theory and Mathematics (16 citations) and Computer Networks and Communications (20 citations). Sarvenaz Choobdar has collaborated with scholars based in Portugal, United States and Switzerland. Frequent co-authors include Fernando Silva, Pedro Ribeiro, Ali Marjovi, Lino Marques, Babak Teimourpour, Mohammad Mehdi Sepehri, Srinivasan Parthasarathy, Jake Crawford, Daniel Marbach and Weijia Zhang. Their work appears in journals such as Journal of Strategic Marketing, Robotics and Autonomous Systems, Data Mining and Knowledge Discovery, Bioinformatics and Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).
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.