Mandis Beigi
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
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- Peer-to-Peer Network Technologies
- Caching and Content Delivery
- Advanced Data Storage Technologies
Papers in
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- Peer-to-Peer Network Technologies 3
- Advanced Data Storage Technologies 2
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- Anomaly Detection Techniques and Applications 3
- Co-authors
- Shih‐Fu Chang (6 shared papers)Ana B. Benitez (3 shared papers)John R. Smith (2 shared papers)Dinesh Verma (5 shared papers)Seraphin Calo (3 shared papers)Dakshi Agrawal (1 shared paper)Chatschik Bisdikian (1 shared paper)Kang‐Won Lee (1 shared paper)
- Journals
- Computer Standards & Interfaces (1 paper)IBM Journal of Research and Development (1 paper)IEEE Internet Computing (1 paper)Blood (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesBrazilIndia
In The Last Decade
Mandis Beigi
17 papers receiving 323 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 209
- Computer Networks and Communications 102
- Information Systems 74
- Signal Processing 32
- Artificial Intelligence 70
Countries citing papers authored by Mandis Beigi
This map shows the geographic impact of Mandis Beigi'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 Mandis Beigi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mandis Beigi more than expected).
Fields of papers citing papers by Mandis Beigi
This network shows the impact of papers produced by Mandis Beigi. 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 Mandis Beigi. The network helps show where Mandis Beigi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mandis Beigi, 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 | 1997 | 140 | |
| 2 | 1997 | 49 | |
| 3 | 2004 | 41 | |
| 4 | 1998 | 35 | |
| 5 | 2007 | 26 | |
| 6 | 2005 | 16 | |
| 7 | 2005 | 14 | |
| 8 | 2008 | 14 | |
| 9 | 2011 | 9 | |
| 10 | 2003 | 7 | |
| 11 | 2009 | 7 | |
| 12 | IPSECvalidate: A Tool to Validate {IPSEC} Configurations | 2001 | 3 |
| 13 | 2010 | 3 | |
| 14 | 2009 | 3 | |
| 15 | 2024 | 2 | |
| 16 | Simulants: Synthetic Clinical Trial Data via Subject-Level Privacy-Preserving Synthesis. | 2022 | 2 |
| 17 | 1999 | 2 | |
| 18 | 2025 | 0 |
About Mandis Beigi
Mandis Beigi is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science and Information Systems, having authored 18 papers that have together received 373 indexed citations. Recurring topics across this work include Video Analysis and Summarization (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Anomaly Detection Techniques and Applications (3 papers), Peer-to-Peer Network Technologies (3 papers), Service-Oriented Architecture and Web Services (2 papers), Access Control and Trust (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Computer Networks and Communications (102 citations), Information Systems (74 citations), Signal Processing (32 citations) and Artificial Intelligence (70 citations). Mandis Beigi has collaborated with scholars based in United States, Brazil and India. Frequent co-authors include Shih‐Fu Chang, Ana B. Benitez, John R. Smith, Dinesh Verma, Seraphin Calo, Dakshi Agrawal, Chatschik Bisdikian, Kang‐Won Lee, Upendra Sharma and Rohit Jain. Their work appears in journals such as Computer Standards & Interfaces, IBM Journal of Research and Development, IEEE Internet Computing, Blood and Communications of the ACM.
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.