Gerd Heilemann

755 citations
33 papers · 590 · h-index 12

Impact in

Papers in

Gerd Heilemann

32 papers receiving 586 citations

Peers

Gerd Heilemann
Comparison fields: 5 of 61
  • Radiation 374
  • Health Informatics 17
  • Radiology, Nuclear Medicine and Imaging 179
  • Pulmonary and Respiratory Medicine 178
  • Ophthalmology 29
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Andrea Pella Italy
James I. Monroe United States
Dao Lam United States
Anjali Balagopal United States
Jianrong Dai China
Jaehee Chun South Korea
Matthew A. Deeley United States
Shaoyan Pan United States
Alexandra Rink Canada
Hamed Ghaffari Iran
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Citations per field
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Citations per year

Countries citing papers authored by Gerd Heilemann

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Heilemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013131
2 201890
3 202068
4 202035
5 202135
6 202331
7 201925
8 202222
9 202322
10 201521
11 201814
12 202113
13 202112
14 201711
15 202410
16 20227
17 20186
18 20225
19 20155
20 20235

About Gerd Heilemann

Gerd Heilemann is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Ophthalmology, having authored 33 papers that have together received 590 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (16 papers), Radiation Therapy and Dosimetry (5 papers), Medical Imaging Techniques and Applications (4 papers), Ocular Oncology and Treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Radiation Detection and Scintillator Technologies (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Radiation (374 citations), Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (179 citations), Pulmonary and Respiratory Medicine (178 citations) and Ophthalmology (29 citations). Gerd Heilemann has collaborated with scholars based in Austria, Sweden and Netherlands. Frequent co-authors include Dietmar Georg, Wolfram U. Laub, Björn Poppe, Peter Kuess, Wolfgang Lechner, Tufve Nyholm, Tommy Löfstedt, Hugo Palmans, H. Fuchs and Andreas Georg Berg. Their work appears in journals such as Zeitschrift für Medizinische Physik, Medical Physics, Radiotherapy and Oncology, Physics in Medicine and Biology and Physics and Imaging in Radiation 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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