Niaz Chalabianloo
Impact in
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- Emotion and Mood Recognition
- Mental Health Research Topics
- Applied Psychology top 5%
- Digital Mental Health Interventions
Papers in
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- Heart Rate Variability and Autonomic Control 8
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- Emotion and Mood Recognition 5
- Mental Health Research Topics 3
- Co-authors
- Cem Ersoy (11 shared papers)Yekta Said Can (7 shared papers)Deniz Ekiz (6 shared papers)Corina Sas (5 shared papers)Muhammad Umair (5 shared papers)Gürkan Gür (1 shared paper)Javier Fernández‐Álvarez (3 shared papers)Giuseppe Riva (3 shared papers)
- Journals
- Sensors (3 papers)IEEE Access (2 papers)Pervasive and Mobile Computing (1 paper)Expert Opinion on Drug Safety (1 paper)Informatics (1 paper)
- Partner nations
- TürkiyeUnited KingdomCanada
In The Last Decade
Niaz Chalabianloo
12 papers receiving 627 citations
Peers
Comparison fields: 5 of 87
- Experimental and Cognitive Psychology 230
- Applied Psychology 68
- Cardiology and Cardiovascular Medicine 195
- Human-Computer Interaction 45
- Cognitive Neuroscience 130
Countries citing papers authored by Niaz Chalabianloo
This map shows the geographic impact of Niaz Chalabianloo'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 Niaz Chalabianloo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niaz Chalabianloo more than expected).
Fields of papers citing papers by Niaz Chalabianloo
This network shows the impact of papers produced by Niaz Chalabianloo. 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 Niaz Chalabianloo. The network helps show where Niaz Chalabianloo may publish in the future.
Co-authors
The 19 scholars most cited alongside Niaz Chalabianloo, 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 | 2019 | 226 | |
| 2 | 2020 | 77 | |
| 3 | 2021 | 73 | |
| 4 | 2017 | 72 | |
| 5 | 2020 | 47 | |
| 6 | 2020 | 44 | |
| 7 | 2020 | 36 | |
| 8 | 2021 | 28 | |
| 9 | 2022 | 25 | |
| 10 | 2020 | 19 | |
| 11 | 2025 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2018 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Niaz Chalabianloo
Niaz Chalabianloo is a scholar working on Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology, Biomedical Engineering, Toxicology and Complementary and alternative medicine, having authored 16 papers that have together received 655 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (8 papers), Emotion and Mood Recognition (5 papers), Mental Health Research Topics (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Cardiovascular and exercise physiology (2 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Color perception and design (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (230 citations), Applied Psychology (68 citations), Cardiology and Cardiovascular Medicine (195 citations), Human-Computer Interaction (45 citations) and Cognitive Neuroscience (130 citations). Niaz Chalabianloo has collaborated with scholars based in Türkiye, United Kingdom and Canada. Frequent co-authors include Cem Ersoy, Yekta Said Can, Deniz Ekiz, Corina Sas, Muhammad Umair, Gürkan Gür, Javier Fernández‐Álvarez, Giuseppe Riva, Claudia Repetto and Heather Iles‐Smith. Their work appears in journals such as Sensors, IEEE Access, Pervasive and Mobile Computing, Expert Opinion on Drug Safety and Informatics.
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.