Carles Fernández

1.1k citations
32 papers · 589 indexed · h-index 14

Carles Fernández

28 papers receiving 564 citations

Peers

Carles Fernández
Comparison fields: 5 of 106
  • Safety Research 83
  • Computer Vision and Pattern Recognition 168
  • Nutrition and Dietetics 112
  • Complementary and alternative medicine 46
  • Signal Processing 52
Replace Francisca Galindo Garre with:
Francisca Galindo Garre Netherlands
Yvonne Freer United Kingdom
Olivier Blanson Henkemans Netherlands
Brian Chin United States
Sunil Goyal India
Angela Fidler Pfammatter United States
Ping Hu China
Andreas Triantafyllidis Greece
Miroslav Mužný Norway
Peter Forbes United States
Carles Fernández relative to Francisca Galindo Garre Netherlands Francisca Galindo Garre's profile →
Citations per field
00.5×10×16.6×
Francisca Galindo Garre · 1×
Citations per year

Countries citing papers authored by Carles Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Carles Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20241
5 20242
6 20241
7 202323
8 20234
9 20235
10 20205
11 202022
12 202023
13 202014
14 202012
15 201917
16 20193
17 20194
18 201930
19 2014202
20 201127

About Carles Fernández

Carles Fernández is a scholar working on Neuropsychology and Physiological Psychology, Complementary and alternative medicine, Signal Processing, Physical Therapy, Sports Therapy and Rehabilitation and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 589 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (6 papers), Pain Management and Placebo Effect (5 papers), Biometric Identification and Security (4 papers), Complementary and Alternative Medicine Studies (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Musculoskeletal pain and rehabilitation (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Safety Research (83 citations), Computer Vision and Pattern Recognition (168 citations), Nutrition and Dietetics (112 citations), Complementary and alternative medicine (46 citations) and Signal Processing (52 citations). Carles Fernández has collaborated with scholars based in Spain, Chile and China. Frequent co-authors include Emla Fitzsimons, Costas Meghir, Orazio Attanasio, Marta Rubio‐Codina, S. M. Grantham‐McGregor, Javier Hernando, Carlos Segura, Isabelle Hupont, Mercè Sitjà‐Rabert and Andrea Prati. Their work appears in journals such as Journal of Clinical Epidemiology, Cancers, Pattern Recognition Letters, Trials and BMJ Open.

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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