Ruben Real
Impact in
- Emergency Medicine top 2%
- Cardiac Arrest and Resuscitation
- Trauma and Emergency Care Studies
- Epidemiology top 5%
- Traumatic Brain Injury Research
Papers in
- Epidemiology 10
- Traumatic Brain Injury Research 10
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- EEG and Brain-Computer Interfaces 7
- Functional Brain Connectivity Studies 2
- Co-authors
- Anastasia Gorbunova (4 shared papers)Suzanne Polinder (4 shared papers)Nicole von Steinbüechel (3 shared papers)Daphne Voormolen (3 shared papers)Juanita A. Haagsma (3 shared papers)Maryse C. Cnossen (2 shared papers)Amra Čović (3 shared papers)Ramon Diaz‐Arrastia (1 shared paper)
In The Last Decade
Ruben Real
21 papers receiving 667 citations
Ruben Real's Hit Papers
Peers
Comparison fields: 5 of 68
- Emergency Medicine 153
- Epidemiology 383
- Neurology 155
- Cognitive Neuroscience 136
- Clinical Psychology 86
Countries citing papers authored by Ruben Real
This map shows the geographic impact of Ruben Real'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 Ruben Real with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruben Real more than expected).
Fields of papers citing papers by Ruben Real
This network shows the impact of papers produced by Ruben Real. 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 Ruben Real. The network helps show where Ruben Real may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruben Real, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Multidimensional Approach to Post-concussion Symptoms in Mild Traumatic Brain Injury Hit paper breakdown → | 2018 | 262 |
| 2 | 2013 | 71 | |
| 3 | 2019 | 53 | |
| 4 | 2019 | 48 | |
| 5 | 2020 | 46 | |
| 6 | 2015 | 34 | |
| 7 | 2016 | 23 | |
| 8 | 2013 | 20 | |
| 9 | 2017 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 2019 | 15 | |
| 12 | 2012 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2017 | 10 | |
| 15 | 2014 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2014 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2013 | 5 | |
| 20 | 2021 | 3 |
About Ruben Real
Ruben Real is a scholar working on Epidemiology, Cognitive Neuroscience, Neurology, Emergency Medicine and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 678 indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (10 papers), EEG and Brain-Computer Interfaces (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Cardiac Arrest and Resuscitation (3 papers), Trauma and Emergency Care Studies (3 papers), Long-Term Effects of COVID-19 (2 papers), Psychosomatic Disorders and Their Treatments (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Emergency Medicine (153 citations), Epidemiology (383 citations), Neurology (155 citations), Cognitive Neuroscience (136 citations) and Clinical Psychology (86 citations). Ruben Real has collaborated with scholars based in Germany, Italy and Belgium. Frequent co-authors include Anastasia Gorbunova, Suzanne Polinder, Nicole von Steinbüechel, Daphne Voormolen, Juanita A. Haagsma, Maryse C. Cnossen, Amra Čović, Ramon Diaz‐Arrastia, Christina L. Master and Andrea Kübler. Their work appears in journals such as PLoS ONE, Clinical Neurophysiology, Journal of Clinical Medicine, Artificial Intelligence in Medicine and Evaluation & the Health Professions.
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.