I 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
-
- Neural and Behavioral Psychology Studies 13
- Neural dynamics and brain function 7
- Memory and Neural Mechanisms 6
- EEG and Brain-Computer Interfaces 5
- Pain Management and Placebo Effect 5
- Memory Processes and Influences 5
- Co-authors
- Claus Lamm (12 shared papers)F Jagla (6 shared papers)Martin Marko (20 shared papers)Markus Rütgen (4 shared papers)Nataša Hlaváčová (4 shared papers)Eva‐Maria Seidel (2 shared papers)Predrag Petrović (2 shared papers)Christian Windischberger (2 shared papers)
In The Last Decade
I Riečanský
73 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 636
- Behavioral Neuroscience 114
- Biological Psychiatry 59
- Experimental and Cognitive Psychology 235
- Social Psychology 296
Countries citing papers authored by I Riečanský
This map shows the geographic impact of I 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 I Riečanský with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I Riečanský more than expected).
Fields of papers citing papers by I Riečanský
This network shows the impact of papers produced by I 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 I Riečanský. The network helps show where I Riečanský may publish in the future.
Co-authors
The 25 scholars most cited alongside I 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 163 | |
| 2 | 2015 | 161 | |
| 3 | 2017 | 89 | |
| 4 | 2013 | 86 | |
| 5 | 2014 | 58 | |
| 6 | 2019 | 49 | |
| 7 | 2007 | 46 | |
| 8 | 2005 | 40 | |
| 9 | 2018 | 39 | |
| 10 | 2018 | 37 | |
| 11 | 2008 | 31 | |
| 12 | 2010 | 31 | |
| 13 | 2016 | 31 | |
| 14 | 2017 | 31 | |
| 15 | 2019 | 29 | |
| 16 | 2020 | 28 | |
| 17 | 2007 | 27 | |
| 18 | 2019 | 27 | |
| 19 | 1991 | 26 | |
| 20 | 2021 | 23 |
About I Riečanský
I Riečanský is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology, Social Psychology and Behavioral Neuroscience, having authored 80 papers that have together received 1.4k 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), Memory and Neural Mechanisms (6 papers), Neuroendocrine regulation and behavior (6 papers), EEG and Brain-Computer Interfaces (5 papers), Pain Management and Placebo Effect (5 papers) and Memory Processes and Influences (5 papers). The work is most often cited by research in Cognitive Neuroscience (636 citations), Behavioral Neuroscience (114 citations), Biological Psychiatry (59 citations), Experimental and Cognitive Psychology (235 citations) and Social Psychology (296 citations). I Riečanský has collaborated with scholars based in Slovakia, Austria and Germany. Frequent co-authors include Claus Lamm, F Jagla, Martin Marko, Markus Rütgen, Nataša Hlaváčová, Eva‐Maria Seidel, Predrag Petrović, Christian Windischberger, Allan Hummer and Giorgia Silani. Their work appears in journals such as Psychoneuroendocrinology, Physiological Research, Neuropsychologia, Memory and Frontiers in Human Neuroscience.
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.