Manuel Bataller‐Mompeán
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine
- Cellular and Molecular Neuroscience
- Co-authors
- Alfredo Rosado-MuñozJuan GuerreroJose V. Francés-VílloraEmilio Soria‐OlivasMarek WęgrzynVicent Teruel‐MartíAna Cervera‐FerriJoana Martínez‐Ricós
- Topics
- Advanced Memory and Neural Computing (11 papers)Neural dynamics and brain function (6 papers)Machine Learning and ELM (5 papers)
In The Last Decade
Manuel Bataller‐Mompeán
25 papers receiving 533 citations
Peers
Comparison fields: 5 of 99
- Electrical and Electronic Engineering 194
- Cognitive Neuroscience 143
- Artificial Intelligence 128
- Cardiology and Cardiovascular Medicine 75
- Cellular and Molecular Neuroscience 68
Countries citing papers authored by Manuel Bataller‐Mompeán
This map shows the geographic impact of Manuel Bataller‐Mompeán'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 Manuel Bataller‐Mompeán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Bataller‐Mompeán more than expected).
Fields of papers citing papers by Manuel Bataller‐Mompeán
This network shows the impact of papers produced by Manuel Bataller‐Mompeán. 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 Manuel Bataller‐Mompeán. The network helps show where Manuel Bataller‐Mompeán may publish in the future.
Co-authorship network of co-authors of Manuel Bataller‐Mompeán
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Bataller‐Mompeán. A scholar is included among the top collaborators of Manuel Bataller‐Mompeán 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 Manuel Bataller‐Mompeán. Manuel Bataller‐Mompeán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 102 | |
| 3 | 5 | |
| 4 | 16 | |
| 5 | 15 | |
| 6 | 19 | |
| 7 | 53 | |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 82 | |
| 13 | 15 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 51 | |
| 18 | Aprendizaje por Proyectos: Una Aproximación Docente al Diseño Digital Basado en VHDL | 2 |
| 19 | New algorithm for fetal QRS detection in surface abdominal records | 20 |
| 20 | An approach to Co-design of Complex Adaptive Systems. | 1 |
About Manuel Bataller‐Mompeán
Manuel Bataller‐Mompeán is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Media Technology, having authored 25 papers that have together received 549 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (6 papers) and Machine Learning and ELM (5 papers). The work is most often cited by research in Cognitive Neuroscience (143 citations), Analytical Chemistry (45 citations) and Signal Processing (45 citations). Manuel Bataller‐Mompeán has collaborated with scholars based in Spain, Poland and India. Frequent co-authors include Alfredo Rosado-Muñoz, Juan Guerrero, Jose V. Francés-Víllora, Emilio Soria‐Olivas, Marek Węgrzyn, Vicent Teruel‐Martí, Ana Cervera‐Ferri, Joana Martínez‐Ricós, Amparo Ruiz‐Torner and Marcelino Martínez‐Sober. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Experimental Brain Research.
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.