Saee Paliwal
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Psychiatry and Mental health top 10%
- Psychosomatic Disorders and Their Treatments
Papers in
-
- Parkinson's Disease Mechanisms and Treatments 3
- Neurological disorders and treatments 3
- Transcranial Magnetic Stimulation Studies 1
-
- Obsessive-Compulsive Spectrum Disorders 2
- Co-authors
- Klaas Ε. Stephan (6 shared papers)Marc Tittgemeyer (4 shared papers)Frederike H. Petzschner (2 shared papers)Christoph Mathys (2 shared papers)Zina M. Manjaly (1 shared paper)Tim Gard (1 shared paper)Anil K. Seth (1 shared paper)Hélène Haker (1 shared paper)
- Journals
- Frontiers in Human Neuroscience (2 papers)Scientific Reports (2 papers)Brain (2 papers)NeuroImage (1 paper)Digital Discovery (1 paper)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Saee Paliwal
7 papers receiving 433 citations
Saee Paliwal's Hit Papers
Peers
Comparison fields: 5 of 75
- Cognitive Neuroscience 216
- Psychiatry and Mental health 145
- Neurology 99
- Experimental and Cognitive Psychology 84
- Philosophy 56
Countries citing papers authored by Saee Paliwal
This map shows the geographic impact of Saee Paliwal'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 Saee Paliwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saee Paliwal more than expected).
Fields of papers citing papers by Saee Paliwal
This network shows the impact of papers produced by Saee Paliwal. 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 Saee Paliwal. The network helps show where Saee Paliwal may publish in the future.
Co-authors
The 24 scholars most cited alongside Saee Paliwal, 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 | Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression Hit paper breakdown → | 2016 | 287 |
| 2 | 2020 | 57 | |
| 3 | 2019 | 33 | |
| 4 | 2020 | 28 | |
| 5 | 2014 | 17 | |
| 6 | 2019 | 15 | |
| 7 | 2015 | 10 | |
| 8 | 2026 | 0 |
About Saee Paliwal
Saee Paliwal is a scholar working on Neurology, Clinical Psychology, Molecular Biology, Cognitive Neuroscience and Artificial Intelligence, having authored 8 papers that have together received 447 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (3 papers), Neurological disorders and treatments (3 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Machine Learning in Bioinformatics (1 paper), Decision-Making and Behavioral Economics (1 paper), Transcranial Magnetic Stimulation Studies (1 paper), Mental Health and Psychiatry (1 paper) and Psychosomatic Disorders and Their Treatments (1 paper). The work is most often cited by research in Cognitive Neuroscience (216 citations), Psychiatry and Mental health (145 citations), Neurology (99 citations), Experimental and Cognitive Psychology (84 citations) and Philosophy (56 citations). Saee Paliwal has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Klaas Ε. Stephan, Marc Tittgemeyer, Frederike H. Petzschner, Christoph Mathys, Zina M. Manjaly, Tim Gard, Anil K. Seth, Hélène Haker, Lilian Weber and Stephen M. Fleming. Their work appears in journals such as Frontiers in Human Neuroscience, Scientific Reports, Brain, NeuroImage and Digital 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.