Carmen Serrano

76 papers receiving 1.3k citations

Peers

Carmen Serrano
Comparison fields: 5 of 121
  • Occupational Therapy 109
  • Rehabilitation 144
  • Oncology 313
  • Computer Vision and Pattern Recognition 241
  • Cognitive Neuroscience 205
Replace Begoña Acha with:
Begoña Acha Spain
Karl Thurnhofer‐Hemsi Spain
Ewa Piętka Poland
Jeremy Kawahara Canada
Samuel Ortega Spain
Joanna Jaworek-Korjakowska Poland
Mohammad Faizal Ahmad Fauzi Malaysia
Spyretta Golemati Greece
Ebrahim Mohammed Senan Saudi Arabia
Rosalind Pratt United Kingdom
Carmen Serrano relative to Begoña Acha Spain Begoña Acha's profile →
Citations per field
00.5×1.5×
Begoña Acha · 1×
Citations per year

Countries citing papers authored by Carmen Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013245
2 201295
3 200871
4 201466
5 200862
6 199958
7 200550
8 201548
9 201246
10 200544
11 201344
12 201334
13 201031
14 201130
15 201625
16 201124
17 200922
18 200320
19 200418
20 201318

About Carmen Serrano

Carmen Serrano is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Oncology, Artificial Intelligence and Rehabilitation, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (12 papers), Medical Image Segmentation Techniques (11 papers), Retinal Imaging and Analysis (10 papers), AI in cancer detection (8 papers), melanin and skin pigmentation (7 papers), Advanced Memory and Neural Computing (7 papers), Wound Healing and Treatments (7 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Occupational Therapy (109 citations), Rehabilitation (144 citations), Oncology (313 citations), Computer Vision and Pattern Recognition (241 citations) and Cognitive Neuroscience (205 citations). Carmen Serrano has collaborated with scholars based in Spain, Canada and United States. Frequent co-authors include Begoña Acha, J. A. Pérez‐Carrasco, Tomás Gómez‐Cía, B. Linares-Barranco, Teresa Serrano‐Gotarredona, Laura M. Roa, Aurora Sáez, Irene Fondón, Bo Zhao and Shouchun Chen. Their work appears in journals such as Burns, Machine Vision and Applications, IEEE Transactions on Medical Imaging, Journal of Biomedical Optics and International Journal of Computer Assisted Radiology and Surgery.

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.

Explore authors with similar magnitude of impact