I. Álvarez
- Computer Vision and Pattern Recognition top 1%
- Neurology top 1%
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Co-authors
- J. M. GórrizJavier Ramı́rezD. Salas-GonzálezF. SegoviaM. LópezR. ChavesCarlos G. PuntonetPablo Padilla
- Topics
- Medical Image Segmentation Techniques (22 papers)Image Retrieval and Classification Techniques (22 papers)Brain Tumor Detection and Classification (20 papers)
- Partner nations
- SpainGermanyUnited States
In The Last Decade
I. Álvarez
74 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 138
- Computer Vision and Pattern Recognition 752
- Neurology 714
- Artificial Intelligence 515
- Cognitive Neuroscience 431
- Psychiatry and Mental health 422
Countries citing papers authored by I. Álvarez
This map shows the geographic impact of I. Álvarez'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 I. Álvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Álvarez more than expected).
Fields of papers citing papers by I. Álvarez
This network shows the impact of papers produced by I. Álvarez. 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 I. Álvarez. The network helps show where I. Álvarez may publish in the future.
Co-authorship network of co-authors of I. Álvarez
This figure shows the co-authorship network connecting the top 25 collaborators of I. Álvarez. A scholar is included among the top collaborators of I. Álvarez 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 I. Álvarez. I. Álvarez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 56 | |
| 9 | 23 | |
| 10 | 44 | |
| 11 | PETRA: Multivariate analyses for neuroimaging data | 2 |
| 12 | Automatic differentiation between controls and Parkinson's disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio. | 3 |
| 13 | 29 | |
| 14 | 7 | |
| 15 | 29 | |
| 16 | 98 | |
| 17 | 21 | |
| 18 | 60 | |
| 19 | 33 | |
| 20 | 97 |
About I. Álvarez
I. Álvarez is a scholar working on Neurology, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 75 papers that have together received 2.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (22 papers), Image Retrieval and Classification Techniques (22 papers) and Brain Tumor Detection and Classification (20 papers). The work is most often cited by research in Neurology (714 citations), Health Information Management (182 citations) and Computer Vision and Pattern Recognition (752 citations). I. Álvarez has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include J. M. Górriz, Javier Ramı́rez, D. Salas-González, F. Segovia, M. López, R. Chaves, Carlos G. Puntonet, Pablo Padilla, Manuel Gómez-Río and Francisco J. Martínez-Murcia. Their work appears in journals such as NeuroImage, Expert Systems with Applications and IEEE Access.
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.