T. Adali

756 citations
20 papers · 554 · h-index 6

Impact in

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
Journals
IEEE Transactions on Signal Processing (3 papers)NeuroImage (3 papers)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)Maryland Shared Open Access Repository (USMAI Consortium) (1 paper)Proceedings of International Conference on Neural Networks (ICNN'96) (1 paper)

In The Last Decade

T. Adali

16 papers receiving 542 citations

Peers

T. Adali
Comparison fields: 5 of 66
  • Computational Mathematics 31
  • Signal Processing 263
  • Cognitive Neuroscience 282
  • Analytical Chemistry 52
  • Radiology, Nuclear Medicine and Imaging 79
Replace Nicolle Correa with:
Nicolle Correa United States
Ronald Phlypo France
Yuri Levin‐Schwartz United States
Matthew Anderson United States
Ahmad Karfoul France
José M. Sánchez‐Bornot United Kingdom
Rogers F. Silva United States
Yoshikazu Washizawa Japan
Ioan Buciu Romania
A. J. Bell United States
T. Adali relative to Nicolle Correa United States Nicolle Correa's profile →
Citations per field
00.5×1.5×
Nicolle Correa · 1×
Citations per year

Countries citing papers authored by T. Adali

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with T. Adali Line = papers co-authored together T. Adali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2009261
2 2005146
3 200371
4 199739
5 19998
6 20026
7 20235
8 20034
9 20233
10 20033
11 20032
12 20022
13 20021
14 20021
15 20031
16 20231
17 20020
18 20020
19 20090
20 20020

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 554 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 (31 citations), Signal Processing (263 citations), Cognitive Neuroscience (282 citations), Analytical Chemistry (52 citations) and Radiology, Nuclear Medicine and Imaging (79 citations). T. Adali has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Vince D. Calhoun, Yi‐Ou Li, Wei Wang, Godfrey D. Pearlson, Kent A. Kiehl, James J. Pekar, Kemal Sönmez, Bo Wang, Hanxuan Yang and Ashwani Kumar Mishra. Their work appears in journals such as IEEE Transactions on Signal Processing, NeuroImage, HAL (Le Centre pour la Communication Scientifique Directe), Maryland Shared Open Access Repository (USMAI Consortium) and Proceedings of International Conference on Neural Networks (ICNN'96).

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.

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