Igor Riečanský
Impact in
- Cognitive Neuroscience top 5%
- Neural and Behavioral Psychology Studies
- Pain Management and Placebo Effect
- Neural dynamics and brain function
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Neural and Behavioral Psychology Studies 13
- Neural dynamics and brain function 7
- Memory and Neural Mechanisms 6
- Pain Management and Placebo Effect 5
- EEG and Brain-Computer Interfaces 5
- Memory Processes and Influences 5
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- Stress Responses and Cortisol 9
- Co-authors
- Claus Lamm (12 shared papers)Martin Marko (21 shared papers)Fedor Jagla (6 shared papers)Markus Rütgen (4 shared papers)Eva‐Maria Seidel (2 shared papers)Nataša Hlaváčová (4 shared papers)Livia Tomova (2 shared papers)Predrag Petrović (2 shared papers)
In The Last Decade
Igor Riečanský
68 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 125
- Cognitive Neuroscience 630
- Behavioral Neuroscience 105
- Biological Psychiatry 54
- Experimental and Cognitive Psychology 242
- Social Psychology 292
Countries citing papers authored by Igor Riečanský
This map shows the geographic impact of Igor Riečanský'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 Igor Riečanský with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Riečanský more than expected).
Fields of papers citing papers by Igor Riečanský
This network shows the impact of papers produced by Igor Riečanský. 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 Igor Riečanský. The network helps show where Igor Riečanský may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Riečanský, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 176 | |
| 2 | 2015 | 172 | |
| 3 | 2013 | 96 | |
| 4 | 2017 | 93 | |
| 5 | 2014 | 62 | |
| 6 | 2019 | 57 | |
| 7 | 2005 | 48 | |
| 8 | 2007 | 47 | |
| 9 | 2018 | 45 | |
| 10 | 2018 | 41 | |
| 11 | 2019 | 36 | |
| 12 | 2017 | 35 | |
| 13 | 2016 | 32 | |
| 14 | 2008 | 32 | |
| 15 | 2010 | 31 | |
| 16 | 2020 | 30 | |
| 17 | 2019 | 29 | |
| 18 | 2007 | 28 | |
| 19 | 1991 | 26 | |
| 20 | 2020 | 26 |
About Igor Riečanský
Igor Riečanský is a scholar working on Cognitive Neuroscience, Behavioral Neuroscience, Experimental and Cognitive Psychology, Cardiology and Cardiovascular Medicine and Social Psychology, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (13 papers), Stress Responses and Cortisol (9 papers), Neural dynamics and brain function (7 papers), Neuroendocrine regulation and behavior (6 papers), Memory and Neural Mechanisms (6 papers), Pain Management and Placebo Effect (5 papers), EEG and Brain-Computer Interfaces (5 papers) and Memory Processes and Influences (5 papers). The work is most often cited by research in Cognitive Neuroscience (630 citations), Behavioral Neuroscience (105 citations), Biological Psychiatry (54 citations), Experimental and Cognitive Psychology (242 citations) and Social Psychology (292 citations). Igor Riečanský has collaborated with scholars based in Slovakia, Austria and Czechia. Frequent co-authors include Claus Lamm, Martin Marko, Fedor Jagla, Markus Rütgen, Eva‐Maria Seidel, Nataša Hlaváčová, Livia Tomova, Predrag Petrović, Christian Windischberger and Allan Hummer. Their work appears in journals such as Psychoneuroendocrinology, Physiological Research, Memory, Neuropsychologia and Cognition.
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.