Daniel Caballero

42 papers receiving 511 citations

Peers

Daniel Caballero
Comparison fields: 5 of 89
  • Analytical Chemistry 265
  • Animal Science and Zoology 262
  • Health Informatics 6
  • Biomedical Engineering 181
  • Food Science 69
Replace Chaoxin Zheng with:
Chaoxin Zheng Ireland
Xavier Cama-Moncunill Australia
Olga Pawluczyk Canada
B. Park United States
Oscar Leonardo García-Navarrete Colombia
Rui Kang China
Rongguang Zhu China
Govindarajan Konda Naganathan United States
N. Toyofuku United States
Paul Martinsen New Zealand
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Citations per year

Countries citing papers authored by Daniel Caballero

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Caballero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202073
2 201437
3 201636
4 201729
5 201726
6 201622
7 202221
8 201921
9 201820
10 201919
11 201918
12 201618
13 201817
14 201814
15 202413
16 200813
17 201413
18 201713
19 201712
20 20189

About Daniel Caballero

Daniel Caballero is a scholar working on Analytical Chemistry, Animal Science and Zoology, Biomedical Engineering, Molecular Biology and Surgery, having authored 44 papers that have together received 518 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (21 papers), Meat and Animal Product Quality (20 papers), Advanced Chemical Sensor Technologies (11 papers), Identification and Quantification in Food (9 papers), Animal Nutrition and Physiology (4 papers), Surgical Simulation and Training (4 papers), Advanced X-ray and CT Imaging (3 papers) and Nuclear Physics and Applications (3 papers). The work is most often cited by research in Analytical Chemistry (265 citations), Animal Science and Zoology (262 citations), Health Informatics (6 citations), Biomedical Engineering (181 citations) and Food Science (69 citations). Daniel Caballero has collaborated with scholars based in Spain, Denmark and United States. Frequent co-authors include Teresa Antequera, Trinidad Pérez‐Palacios, Andrés Caro, Pablo G. Rodríguez, José Manuel Amigo, Silvia Grassi, B. Uttaro, Bjarne Kjær Ersbøll, Anders Bjorholm Dahl and Marta Bevilacqua. Their work appears in journals such as Journal of Food Engineering, Food and Bioprocess Technology, Sensors, Journal of the Science of Food and Agriculture 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.

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