Daniel Mas Montserrat
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Genetics
- Molecular Biology
- Plant Science
- Co-authors
- Edward J. DelpJan P. AllebachQian LinAlexander IoannidisXavier Giró-i-NietoCarlos D. BustamanteAlexander G. IoannidisFengqing Zhu
- Topics
- Genetic Associations and Epidemiology (6 papers)Genetic and phenotypic traits in livestock (4 papers)Gene expression and cancer classification (4 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Daniel Mas Montserrat
19 papers receiving 165 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 54
- Artificial Intelligence 42
- Genetics 40
- Molecular Biology 38
- Plant Science 12
Countries citing papers authored by Daniel Mas Montserrat
This map shows the geographic impact of Daniel Mas Montserrat'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 Daniel Mas Montserrat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mas Montserrat more than expected).
Fields of papers citing papers by Daniel Mas Montserrat
This network shows the impact of papers produced by Daniel Mas Montserrat. 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 Daniel Mas Montserrat. The network helps show where Daniel Mas Montserrat may publish in the future.
Co-authorship network of co-authors of Daniel Mas Montserrat
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Mas Montserrat. A scholar is included among the top collaborators of Daniel Mas Montserrat 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 Daniel Mas Montserrat. Daniel Mas Montserrat 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 | 9 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 15 | |
| 20 | 54 |
About Daniel Mas Montserrat
Daniel Mas Montserrat is a scholar working on Computer Vision and Pattern Recognition, Genetics and Artificial Intelligence, having authored 21 papers that have together received 168 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Genetic and phenotypic traits in livestock (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (54 citations), Health Informatics (2 citations) and Genetics (40 citations). Daniel Mas Montserrat has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Edward J. Delp, Jan P. Allebach, Qian Lin, Alexander Ioannidis, Xavier Giró-i-Nieto, Carlos D. Bustamante, Alexander G. Ioannidis, Qian Lin, Fengqing Zhu and David Güera. Their work appears in journals such as Bioinformatics, IEEE Access and PLoS Computational Biology.
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.