Farhad Kamangar
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Media Technology top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Heng HuangFeiping NieXiao CaiManfred HuberGergely ZárubaImrich ChlamtacRonald A. SchacharK.R. Rao
- Topics
- Face and Expression Recognition (6 papers)Sparse and Compressive Sensing Techniques (5 papers)Mobile Agent-Based Network Management (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Signal Processing
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Farhad Kamangar
42 papers receiving 583 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 321
- Artificial Intelligence 171
- Electrical and Electronic Engineering 154
- Media Technology 96
- Computer Networks and Communications 75
Countries citing papers authored by Farhad Kamangar
This map shows the geographic impact of Farhad Kamangar'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 Farhad Kamangar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farhad Kamangar more than expected).
Fields of papers citing papers by Farhad Kamangar
This network shows the impact of papers produced by Farhad Kamangar. 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 Farhad Kamangar. The network helps show where Farhad Kamangar may publish in the future.
Co-authorship network of co-authors of Farhad Kamangar
This figure shows the co-authorship network connecting the top 25 collaborators of Farhad Kamangar. A scholar is included among the top collaborators of Farhad Kamangar 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 Farhad Kamangar. Farhad Kamangar 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 | 3 | |
| 3 | 13 | |
| 4 | Class Subset Selection for Partial Domain Adaptation | 6 |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | Maximum Margin Multi-Instance Learning | 24 |
| 10 | 1 | |
| 11 | 16 | |
| 12 | Mobile Agents for Pervasive Computing Using a Novel Method of Message Passing. | 1 |
| 13 | 0 | |
| 14 | Performance Analysis and Scalability of the ThreadmanTM Thread Manager | 0 |
| 15 | Absolute Percent Error Based Fitness Functions for Evolving Forecast Models | 8 |
| 16 | Inferencing Bayesian Networks from Time Series Data Using Natural Selection | 1 |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 18 | |
| 20 | 16 |
About Farhad Kamangar
Farhad Kamangar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Instrumentation, having authored 48 papers that have together received 608 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Mobile Agent-Based Network Management (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (321 citations), Media Technology (96 citations) and Computational Mathematics (4 citations). Farhad Kamangar has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Heng Huang, Feiping Nie, Xiao Cai, Manfred Huber, Gergely Záruba, Imrich Chlamtac, Ronald A. Schachar, K.R. Rao, Ernest M. Stokely and Vassilis Athitsos. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Signal Processing.
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.