Martín Pérez‐Pérez
- Molecular Biology
- Artificial Intelligence top 10%
- Microbiology top 10%
- Food Science
- Computational Theory and Mathematics
- Co-authors
- Anália LourençoGael Pérez‐RodríguezFlorentino Fdez‐RiverolaPaula JorgeMaria Olívia PereiraDomingo GiménezJosé J. López‐EspínFrancisco Almeida
- Topics
- Biomedical Text Mining and Ontologies (11 papers)Semantic Web and Ontologies (8 papers)Gene Regulatory Network Analysis (4 papers)
In The Last Decade
Martín Pérez‐Pérez
30 papers receiving 352 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 218
- Artificial Intelligence 96
- Microbiology 36
- Food Science 29
- Computational Theory and Mathematics 26
Countries citing papers authored by Martín Pérez‐Pérez
This map shows the geographic impact of Martín Pérez‐Pérez'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 Martín Pérez‐Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín Pérez‐Pérez more than expected).
Fields of papers citing papers by Martín Pérez‐Pérez
This network shows the impact of papers produced by Martín Pérez‐Pérez. 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 Martín Pérez‐Pérez. The network helps show where Martín Pérez‐Pérez may publish in the future.
Co-authorship network of co-authors of Martín Pérez‐Pérez
This figure shows the co-authorship network connecting the top 25 collaborators of Martín Pérez‐Pérez. A scholar is included among the top collaborators of Martín Pérez‐Pérez 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 Martín Pérez‐Pérez. Martín Pérez‐Pérez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 39 | |
| 9 | 3 | |
| 10 | 48 | |
| 11 | 19 | |
| 12 | The biomedical abbreviation recognition and resolution (BARR) track: Benchmarking, evaluation and importance of abbreviation recognition systems applied to Spanish biomedical abstracts | 6 |
| 13 | 1 | |
| 14 | Developing timely insights into Pseudomonas aeruginosa quorum sensing therapeutics through text mining | 1 |
| 15 | 9 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 17 |
About Martín Pérez‐Pérez
Martín Pérez‐Pérez is a scholar working on Applied Microbiology and Biotechnology, Microbiology and Health, having authored 32 papers that have together received 366 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Semantic Web and Ontologies (8 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Microbiology (36 citations), Molecular Medicine (22 citations) and Molecular Biology (218 citations). Martín Pérez‐Pérez has collaborated with scholars based in Spain and Portugal. Frequent co-authors include Anália Lourenço, Gael Pérez‐Rodríguez, Florentino Fdez‐Riverola, Paula Jorge, Maria Olívia Pereira, Domingo Giménez, José J. López‐Espín, Francisco Almeida, Aitor Blanco‐Míguez and Borja Sánchez. Their work appears in journals such as The Journal of Physical Chemistry B, Expert Systems with Applications and Molecules.
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.