Germán Gómez-Herrero
- Cognitive Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Experimental and Cognitive Psychology top 5%
- Signal Processing top 5%
- Biomedical Engineering
- Co-authors
- Karen EgiazarianEus J.W. Van SomerenJosé L. CanteroMercedes AtienzaWim De ClercqWim Van PaesschenHaroon AnwarAtanas Gotchev
- Topics
- EEG and Brain-Computer Interfaces (11 papers)Blind Source Separation Techniques (8 papers)Neural dynamics and brain function (5 papers)
- Journals
- NeuroImageScientific ReportsSLEEP
- Partner nations
- NetherlandsFinlandGermany
In The Last Decade
Germán Gómez-Herrero
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Cognitive Neuroscience 810
- Cardiology and Cardiovascular Medicine 225
- Experimental and Cognitive Psychology 225
- Signal Processing 198
- Biomedical Engineering 115
Countries citing papers authored by Germán Gómez-Herrero
This map shows the geographic impact of Germán Gómez-Herrero'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 Germán Gómez-Herrero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Gómez-Herrero more than expected).
Fields of papers citing papers by Germán Gómez-Herrero
This network shows the impact of papers produced by Germán Gómez-Herrero. 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 Germán Gómez-Herrero. The network helps show where Germán Gómez-Herrero may publish in the future.
Co-authorship network of co-authors of Germán Gómez-Herrero
This figure shows the co-authorship network connecting the top 25 collaborators of Germán Gómez-Herrero. A scholar is included among the top collaborators of Germán Gómez-Herrero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Germán Gómez-Herrero. Germán Gómez-Herrero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 55 | |
| 3 | 6 | |
| 4 | 50 | |
| 5 | 24 | |
| 6 | 49 | |
| 7 | 20 | |
| 8 | A general definition of the big-oh notation for algorithm analysis. | 1 |
| 9 | 69 | |
| 10 | 8 | |
| 11 | 42 | |
| 12 | 39 | |
| 13 | 103 | |
| 14 | 79 | |
| 15 | 2 | |
| 16 | Relative estimation of the Karhunen-Loève transform basis functions for detection of ventricular ectopic beats | 6 |
| 17 | 19 | |
| 18 | 34 | |
| 19 | 193 | |
| 20 | 162 |
About Germán Gómez-Herrero
Germán Gómez-Herrero is a scholar working on Cognitive Neuroscience, Signal Processing and Endocrine and Autonomic Systems, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Blind Source Separation Techniques (8 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cognitive Neuroscience (810 citations), Signal Processing (198 citations) and Experimental and Cognitive Psychology (225 citations). Germán Gómez-Herrero has collaborated with scholars based in Netherlands, Finland and Germany. Frequent co-authors include Karen Egiazarian, Eus J.W. Van Someren, José L. Cantero, Mercedes Atienza, Wim De Clercq, Wim Van Paesschen, Haroon Anwar, Atanas Gotchev, Irena Jekova and Vessela Krasteva. Their work appears in journals such as NeuroImage, Scientific Reports and SLEEP.
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.