F. Segovia

3.6k citations
81 papers · 2.0k · h-index 26

Impact in

Papers in

    • Medical Image Segmentation Techniques 22
    • Image Retrieval and Classification Techniques 19
    • Face and Expression Recognition 13
    • Brain Tumor Detection and Classification 20
    • Parkinson's Disease Mechanisms and Treatments 14
    • Neurological disorders and treatments 12

F. Segovia

78 papers receiving 2.0k citations

Peers

F. Segovia
Comparison fields: 5 of 133
  • Neurology 616
  • Health Information Management 144
  • Psychiatry and Mental health 410
  • Computer Vision and Pattern Recognition 587
  • Cognitive Neuroscience 395
Replace M. López with:
M. López Spain
D. Salas‐Gonzalez Spain
I. Álvarez Spain
Iman Beheshti Canada
Ricardo Guerrero United Kingdom
Robin Wolz United Kingdom
Kim‐Han Thung United States
Manhua Liu China
Francisco J. Martínez-Murcia Spain
F. Segovia relative to M. López Spain M. López's profile →
Citations per field
00.5×1.5×2.0×
M. López · 1×
Citations per year

Countries citing papers authored by F. Segovia

Since Specialization
Citations

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

Fields of papers citing papers by F. Segovia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Segovia. 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 F. Segovia. The network helps show where F. Segovia may publish in the future.

Co-authors

The 25 scholars most cited alongside F. Segovia, 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 F. Segovia Line = papers co-authored together F. Segovia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014192
2 2010123
3 2009107
4 2010103
5 201097
6 200997
7 200978
8 201068
9 201267
10 201060
11 201059
12 200957
13 201757
14 201152
15 201252
16 201045
17 201039
18 201835
19 201235
20 201834

About F. Segovia

F. Segovia is a scholar working on Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence, Neurology and Cognitive Neuroscience, having authored 81 papers that have together received 2.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (22 papers), Brain Tumor Detection and Classification (20 papers), Image Retrieval and Classification Techniques (19 papers), Parkinson's Disease Mechanisms and Treatments (14 papers), Face and Expression Recognition (13 papers), Neurological disorders and treatments (12 papers), Dementia and Cognitive Impairment Research (11 papers) and Alzheimer's disease research and treatments (9 papers). The work is most often cited by research in Neurology (616 citations), Health Information Management (144 citations), Psychiatry and Mental health (410 citations), Computer Vision and Pattern Recognition (587 citations) and Cognitive Neuroscience (395 citations). F. Segovia has collaborated with scholars based in Spain, United Kingdom and Belgium. Frequent co-authors include J. M. Górriz, Javier Ramı́rez, D. Salas‐Gonzalez, M. López, I. Álvarez, R. Chaves, Carlos G. Puntonet, Pablo Padilla, L. Khedher and A. Brahim. Their work appears in journals such as Neurocomputing, Electronics Letters, Frontiers in Neuroinformatics, Medical Physics and International Journal of Neural Systems.

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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