Pablo Borrelli

516 citations
24 papers · 385 · h-index 12

Impact in

Papers in

Pablo Borrelli

24 papers receiving 375 citations

Peers

Pablo Borrelli
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 129
  • Health Informatics 7
  • Forestry 15
  • Pulmonary and Respiratory Medicine 99
  • Management, Monitoring, Policy and Law 36
Replace Pavel Kukla with:
Pavel Kukla Czechia
Maurizio Merlo Italy
Pieter H. Vos Netherlands
Zengyan Li China
James Harkness United States
Frank Gottwald Germany
Thierry Lefebvre France
Sarah Heard United Kingdom
Marc‐André Côté Canada
James Foley United Kingdom
Pablo Borrelli relative to Pavel Kukla Czechia Pavel Kukla's profile →
Citations per field
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Pavel Kukla · 1×
Citations per year

Countries citing papers authored by Pablo Borrelli

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Borrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202069
2 199851
3 202137
4 201932
5 202225
6 201925
7 202125
8 202023
9 201619
10 202112
11 202111
12 201911
13
Grasslands of Patagonia.
200511
14 20218
15 20227
16 20245
17 20224
18 20143
19 20192
20 20241

About Pablo Borrelli

Pablo Borrelli is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Ecology, Management, Monitoring, Policy and Law and Ecology, Evolution, Behavior and Systematics, having authored 24 papers that have together received 385 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Prostate Cancer Treatment and Research (4 papers), Rangeland Management and Livestock Ecology (4 papers), Medical Imaging Techniques and Applications (3 papers), Wildlife Ecology and Conservation (2 papers), Agriculture and Rural Development Research (2 papers) and Rangeland and Wildlife Management (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (129 citations), Health Informatics (7 citations), Forestry (15 citations), Pulmonary and Respiratory Medicine (99 citations) and Management, Monitoring, Policy and Law (36 citations). Pablo Borrelli has collaborated with scholars based in Sweden, Denmark and Spain. Frequent co-authors include Olof Enqvist, Lars Edenbrandt, Johannes Ulén, Elin Trägårdh, Reza Kaboteh, Andrés F. Cibils, Gabriel Oliva, Henrik Kjölhede, Poul Flemming Høilund‐Carlsen and Mads Hvid Poulsen. Their work appears in journals such as Clinical Physiology and Functional Imaging, EJNMMI Physics, European Radiology Experimental, Rangelands and Rangeland Ecology & Management.

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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