Kaveh Kamgar
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Economics and Econometrics
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Eamonn KeoghChin‐Chia Michael YehZachary ZimmermanYan ZhuLiudmila UlanovaYifei DingNader Shakibay SenobariG. J. Funning
- Topics
- Time Series Analysis and Forecasting (6 papers)Music and Audio Processing (3 papers)Anomaly Detection Techniques and Applications (2 papers)
- Journals
- Data Mining and Knowledge Discovery
- Partner nations
- United StatesBrazil
In The Last Decade
Kaveh Kamgar
6 papers receiving 210 citations
Peers
Comparison fields: 5 of 49
- Signal Processing 164
- Artificial Intelligence 132
- Economics and Econometrics 51
- Computer Networks and Communications 32
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Kaveh Kamgar
This map shows the geographic impact of Kaveh Kamgar'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 Kaveh Kamgar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaveh Kamgar more than expected).
Fields of papers citing papers by Kaveh Kamgar
This network shows the impact of papers produced by Kaveh Kamgar. 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 Kaveh Kamgar. The network helps show where Kaveh Kamgar may publish in the future.
Co-authorship network of co-authors of Kaveh Kamgar
This figure shows the co-authorship network connecting the top 25 collaborators of Kaveh Kamgar. A scholar is included among the top collaborators of Kaveh Kamgar 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 Kaveh Kamgar. Kaveh Kamgar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 19 | |
| 3 | 40 | |
| 4 | 7 | |
| 5 | 67 | |
| 6 | 51 |
About Kaveh Kamgar
Kaveh Kamgar is a scholar working on Signal Processing, Artificial Intelligence and Economics and Econometrics, having authored 6 papers that have together received 217 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (6 papers), Music and Audio Processing (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (164 citations), Artificial Intelligence (132 citations) and Economics and Econometrics (51 citations). Kaveh Kamgar has collaborated with scholars based in United States and Brazil. Frequent co-authors include Eamonn Keogh, Chin‐Chia Michael Yeh, Zachary Zimmerman, Yan Zhu, Liudmila Ulanova, Yifei Ding, Nader Shakibay Senobari, G. J. Funning, Philip Brisk and Hoang Anh Dau. Their work appears in journals such as Data Mining and Knowledge Discovery.
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.