Damla Şentürk
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference 32
- Statistical Methods and Inference 31
- Advanced Statistical Methods and Models 9
- Advanced Causal Inference Techniques 8
- Cognitive Neuroscience top 2%
- Autism Spectrum Disorder Research 16
- EEG and Brain-Computer Interfaces 11
- Neural dynamics and brain function 9
- Clinical Psychology top 5%
- Psychiatry and Mental health top 5%
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- Blind Source Separation Techniques 8
- Co-authors
- Danh V. NguyenShafali JesteHans‐Georg MüllerCharlotte DiStefanoAbigail DickinsonMichael F. GreenCatherine A. SugarCarrie E. Bearden
- Journals
- Journal of the American Statistical Association (3 papers)Gastroenterology (1 paper)PLoS ONE (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Damla Şentürk
92 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 134
- Statistics and Probability 534
- Cognitive Neuroscience 908
- Clinical Psychology 481
- Psychiatry and Mental health 270
- Developmental and Educational Psychology 174
Countries citing papers authored by Damla Şentürk
This map shows the geographic impact of Damla Şentürk'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 Damla Şentürk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damla Şentürk more than expected).
Fields of papers citing papers by Damla Şentürk
This network shows the impact of papers produced by Damla Şentürk. 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 Damla Şentürk. The network helps show where Damla Şentürk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Damla Şentürk, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 47 | |
| 14 | 2019 | 6 | |
| 15 | 2016 | 8 | |
| 16 | 2013 | 3 | |
| 17 | 2011 | 25 | |
| 18 | 2008 | 36 | |
| 19 | 2008 | 144 | |
| 20 | 2005 | 8 |
About Damla Şentürk
Damla Şentürk is a scholar working on Statistics and Probability, Cognitive Neuroscience and Signal Processing, having authored 99 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (32 papers), Statistical Methods and Inference (31 papers), Autism Spectrum Disorder Research (16 papers), EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (9 papers), Advanced Statistical Methods and Models (9 papers), Blind Source Separation Techniques (8 papers) and Advanced Causal Inference Techniques (8 papers). The work is most often cited by research in Statistics and Probability (534 citations), Cognitive Neuroscience (908 citations) and Clinical Psychology (481 citations). Damla Şentürk has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Danh V. Nguyen, Shafali Jeste, Hans‐Georg Müller, Hans‐Georg Müller, Charlotte DiStefano, Abigail Dickinson, Michael F. Green, Catherine A. Sugar, Carrie E. Bearden and Carolyn Chow. Their work appears in journals such as Journal of the American Statistical Association, Gastroenterology and PLoS ONE.
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.