L. Persoon

595 citations
19 papers · 405 indexed · h-index 13

Impact in

  • Radiation top 2%
    • Advanced Radiotherapy Techniques
    • Radiation Detection and Scintillator Technologies
    • Medical Imaging Techniques and Applications
    • Radiation Dose and Imaging
    • Radiomics and Machine Learning in Medical Imaging

Papers in

L. Persoon

19 papers receiving 396 citations

Peers

L. Persoon
Comparison fields: 5 of 55
  • Radiation 316
  • Radiology, Nuclear Medicine and Imaging 240
  • Pulmonary and Respiratory Medicine 263
  • Otorhinolaryngology 14
  • Health Informatics 3
Replace Philip Whitehurst with:
Philip Whitehurst United Kingdom
Timothy Fox United States
Yu Lei United States
Christopher L. Williams United States
Frank J. W. M. Dankers Netherlands
Johan Löf Sweden
D Thongphiew United States
J Alaly United States
Xenia Ray United States
L. Persoon relative to Philip Whitehurst United Kingdom Philip Whitehurst's profile →
Citations per field
00.5×5.1×
Philip Whitehurst · 1×
Citations per year

Countries citing papers authored by L. Persoon

Since Specialization
Citations

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

Fields of papers citing papers by L. Persoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201176
2 201345
3 201442
4 201134
5 201330
6 201028
7 201226
8 201524
9 201416
10 201615
11 201415
12 201514
13 200813
14 20159
15 20158
16 20156
17 20182
18 20091
19 20051

About L. Persoon

L. Persoon is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biophysics, having authored 19 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (17 papers), Radiation Therapy and Dosimetry (10 papers), Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiation Detection and Scintillator Technologies (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Radiation (316 citations), Radiology, Nuclear Medicine and Imaging (240 citations), Pulmonary and Respiratory Medicine (263 citations), Otorhinolaryngology (14 citations) and Health Informatics (3 citations). L. Persoon has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Frank Verhaegen, S. Nijsten, Mark Podesta, Philippe Lambin, Erik Roelofs, Wouter J. C. van Elmpt, André Dekker, Madelon Pijls-Johannesma, C. Rasch and Martijn Engelsman. Their work appears in journals such as Radiotherapy and Oncology, Physics in Medicine and Biology, Acta Oncologica, Medical Physics and Journal of Thoracic Oncology.

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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