Jaime de la Rocha
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Statistical and Nonlinear Physics top 1%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Alex D. ReyesNéstor PargaAlfonso RenartKrešimir Josić́Brent DoironEric Shea‐BrownPéter BarthóKenneth D. Harris
- Topics
- Neural dynamics and brain function (21 papers)stochastic dynamics and bifurcation (7 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Partner nations
- SpainUnited StatesHungary
In The Last Decade
Jaime de la Rocha
24 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 1.9k
- Cellular and Molecular Neuroscience 1.1k
- Statistical and Nonlinear Physics 527
- Electrical and Electronic Engineering 333
- Computer Networks and Communications 146
Countries citing papers authored by Jaime de la Rocha
This map shows the geographic impact of Jaime de la Rocha'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 Jaime de la Rocha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime de la Rocha more than expected).
Fields of papers citing papers by Jaime de la Rocha
This network shows the impact of papers produced by Jaime de la Rocha. 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 Jaime de la Rocha. The network helps show where Jaime de la Rocha may publish in the future.
Co-authorship network of co-authors of Jaime de la Rocha
This figure shows the co-authorship network connecting the top 25 collaborators of Jaime de la Rocha. A scholar is included among the top collaborators of Jaime de la Rocha 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 Jaime de la Rocha. Jaime de la Rocha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 16 | |
| 6 | 30 | |
| 7 | 3 | |
| 8 | 107 | |
| 9 | 50 | |
| 10 | 45 | |
| 11 | The Asynchronous State in Cortical Circuitsbreakdown → | 740 |
| 12 | 3 | |
| 13 | 60 | |
| 14 | 108 | |
| 15 | 491 | |
| 16 | 56 | |
| 17 | 11 | |
| 18 | 79 | |
| 19 | 9 | |
| 20 | 28 |
About Jaime de la Rocha
Jaime de la Rocha is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (21 papers), stochastic dynamics and bifurcation (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Cellular and Molecular Neuroscience (1.1k citations) and Statistical and Nonlinear Physics (527 citations). Jaime de la Rocha has collaborated with scholars based in Spain, United States and Hungary. Frequent co-authors include Alex D. Reyes, Néstor Parga, Alfonso Renart, Krešimir Josić́, Brent Doiron, Eric Shea‐Brown, Péter Barthó, Kenneth D. Harris, Alex Roxin and Albert Compte. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.