Ignacio A. Illán

1.3k citations
58 papers · 1.1k · h-index 17

Impact in

Papers in

Ignacio A. Illán

55 papers receiving 1.1k citations

Peers

Ignacio A. Illán
Comparison fields: 5 of 69
  • Psychiatry and Mental health 536
  • Health Information Management 220
  • Neurology 181
  • Radiology, Nuclear Medicine and Imaging 209
  • Health Informatics 20
Replace Ignacio Álvarez with:
Ignacio Álvarez Spain
Diego Castillo-Barnés Spain
M. López Spain
R. Chaves Spain
Haijun Lei China
Chinnaswamy Manoharan Sujatha India
Katherine R. Gray United Kingdom
Simona Bottani France
Alexandre Routier France
Antonio Augimeri Italy
Ignacio A. Illán relative to Ignacio Álvarez Spain Ignacio Álvarez's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ignacio A. Illán

Since Specialization
Citations

This map shows the geographic impact of Ignacio A. Illán'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 Ignacio A. Illán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio A. Illán more than expected).

Fields of papers citing papers by Ignacio A. Illán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ignacio A. Illán. 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 Ignacio A. Illán. The network helps show where Ignacio A. Illán may publish in the future.

Co-authors

The 25 scholars most cited alongside Ignacio A. Illán, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ignacio A. Illán Line = papers co-authored together Ignacio A. Illán links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010117
2 201283
3 201678
4 201064
5 201764
6 201263
7 201062
8 201347
9 201043
10 201739
11 200937
12 201235
13 201134
14 201730
15 201525
16 201322
17 202021
18 201917
19 201215
20 201215

About Ignacio A. Illán

Ignacio A. Illán is a scholar working on Psychiatry and Mental health, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Health Information Management and Neurology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (28 papers), Medical Image Segmentation Techniques (17 papers), Medical Imaging Techniques and Applications (12 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Artificial Intelligence in Healthcare (6 papers), Functional Brain Connectivity Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Psychiatry and Mental health (536 citations), Health Information Management (220 citations), Neurology (181 citations), Radiology, Nuclear Medicine and Imaging (209 citations) and Health Informatics (20 citations). Ignacio A. Illán has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Javier Ramírez, Juan M. Gorriz, Diego Salas-Gonzalez, Fermín Segovia, Carlos G. Puntonet, Francisco Jesús Martínez-Murcia, Andrés Ortiz, R. Chaves, M. López and Manuel María Gómez-Río. Their work appears in journals such as Expert Systems with Applications, NeuroImage, Neurocomputing, Medical Physics and Pattern Recognition Letters.

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.

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