T. Adali
Impact in
- Computational Mathematics top 5%
- Signal Processing top 5%
- Blind Source Separation Techniques
- Speech and Audio Processing
Papers in
-
- Blind Source Separation Techniques 15
-
- Neural Networks and Applications 7
- Target Tracking and Data Fusion in Sensor Networks 3
- Bayesian Methods and Mixture Models 2
- Co-authors
- Vince D. Calhoun (7 shared papers)Wei Wang (1 shared paper)Yi‐Ou Li (1 shared paper)Godfrey D. Pearlson (3 shared papers)Kent A. Kiehl (1 shared paper)Kemal Sönmez (3 shared papers)James J. Pekar (1 shared paper)Bo Wang (1 shared paper)
- Journals
- NeuroImage (3 papers)IEEE Transactions on Signal Processing (3 papers)Proceedings of International Conference on Neural Networks (ICNN'96) (1 paper)Maryland Shared Open Access Repository (USMAI Consortium) (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
T. Adali
16 papers receiving 574 citations
Peers
Comparison fields: 5 of 66
- Computational Mathematics 32
- Signal Processing 276
- Cognitive Neuroscience 302
- Analytical Chemistry 58
- Radiology, Nuclear Medicine and Imaging 88
Countries citing papers authored by T. Adali
This map shows the geographic impact of T. Adali'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 T. Adali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Adali more than expected).
Fields of papers citing papers by T. Adali
This network shows the impact of papers produced by T. Adali. 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 T. Adali. The network helps show where T. Adali may publish in the future.
Co-authors
The 18 scholars most cited alongside T. Adali, 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 | 2009 | 271 | |
| 2 | 2005 | 167 | |
| 3 | 2003 | 72 | |
| 4 | 1997 | 45 | |
| 5 | 1999 | 9 | |
| 6 | 2002 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2003 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2003 | 3 | |
| 11 | 2003 | 2 | |
| 12 | 2002 | 2 | |
| 13 | 2002 | 1 | |
| 14 | 2002 | 1 | |
| 15 | 2003 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2002 | 0 | |
| 18 | 2002 | 0 | |
| 19 | 2009 | 0 | |
| 20 | 2002 | 0 |
About T. Adali
T. Adali is a scholar working on Signal Processing, Artificial Intelligence, Cognitive Neuroscience, Computational Mechanics and Control and Systems Engineering, having authored 20 papers that have together received 593 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (15 papers), Neural Networks and Applications (7 papers), Neural dynamics and brain function (5 papers), Functional Brain Connectivity Studies (4 papers), Advanced Adaptive Filtering Techniques (4 papers), Control Systems and Identification (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Computational Mathematics (32 citations), Signal Processing (276 citations), Cognitive Neuroscience (302 citations), Analytical Chemistry (58 citations) and Radiology, Nuclear Medicine and Imaging (88 citations). T. Adali has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Vince D. Calhoun, Wei Wang, Yi‐Ou Li, Godfrey D. Pearlson, Kent A. Kiehl, Kemal Sönmez, James J. Pekar, Bo Wang, Bo Wang and Hanxuan Yang. Their work appears in journals such as NeuroImage, IEEE Transactions on Signal Processing, Proceedings of International Conference on Neural Networks (ICNN'96), Maryland Shared Open Access Repository (USMAI Consortium) and HAL (Le Centre pour la Communication Scientifique Directe).
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.