Arvina Grahl
- Cognitive Neuroscience top 5%
- Pain Management and Placebo Effect 10
- Neural and Behavioral Psychology Studies 3
- EEG and Brain-Computer Interfaces 2
- General Decision Sciences top 10%
- Psychiatry and Mental health top 10%
- Fibromyalgia and Chronic Fatigue Syndrome Research 9
- Psychosomatic Disorders and Their Treatments 5
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- Musculoskeletal pain and rehabilitation 8
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- Heart Rate Variability and Autonomic Control 4
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- Pain Mechanisms and Treatments 2
- Co-authors
- Christian WindischbergerDaniela M. PfabiganClaus LammRupert LanzenbergerChristian BüchelSelim OnatKatharina PaulMartin Küblböck
- Journals
- Proceedings of the National Academy of Sciences (1 paper)NeuroImage (2 papers)Pain (1 paper)
- Partner nations
- United StatesAustriaNorway
In The Last Decade
Arvina Grahl
20 papers receiving 514 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 375
- General Decision Sciences 30
- Psychiatry and Mental health 114
- Experimental and Cognitive Psychology 83
- Applied Psychology 30
Countries citing papers authored by Arvina Grahl
This map shows the geographic impact of Arvina Grahl'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 Arvina Grahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvina Grahl more than expected).
Fields of papers citing papers by Arvina Grahl
This network shows the impact of papers produced by Arvina Grahl. 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 Arvina Grahl. The network helps show where Arvina Grahl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arvina Grahl, 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 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 23 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 43 | |
| 14 | 2020 | 10 | |
| 15 | 2018 | 71 | |
| 16 | 2014 | 128 | |
| 17 | 2014 | 49 | |
| 18 | 2014 | 73 | |
| 19 | 2013 | 44 | |
| 20 | 2012 | 19 |
About Arvina Grahl
Arvina Grahl is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Pharmacology, having authored 21 papers that have together received 521 indexed citations. Recurring topics across this work include Pain Management and Placebo Effect (10 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (9 papers), Musculoskeletal pain and rehabilitation (8 papers), Psychosomatic Disorders and Their Treatments (5 papers), Heart Rate Variability and Autonomic Control (4 papers), Neural and Behavioral Psychology Studies (3 papers), Pain Mechanisms and Treatments (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cognitive Neuroscience (375 citations), General Decision Sciences (30 citations) and Psychiatry and Mental health (114 citations). Arvina Grahl has collaborated with scholars based in United States, Austria and Norway. Frequent co-authors include Christian Windischberger, Daniela M. Pfabigan, Claus Lamm, Rupert Lanzenberger, Christian Büchel, Selim Onat, Katharina Paul, Martin Küblböck, Christoph Kraus and Allan Hummer. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and Pain.
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.