Gerhard Kleinszig

1.7k citations
79 papers · 1.3k · h-index 23

Impact in

Papers in

Gerhard Kleinszig

79 papers receiving 1.3k citations

Peers

Gerhard Kleinszig
Comparison fields: 5 of 72
  • Radiology, Nuclear Medicine and Imaging 424
  • Biomedical Engineering 670
  • Radiation 128
  • Computer Vision and Pattern Recognition 254
  • Surgery 398
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A. Jay Khanna United States
Sebastian Schäfer United States
Adam Wang United States
Tomaž Vrtovec Slovenia
Draženko Babić Netherlands
Johann Hummel Austria
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Primož Markelj Slovenia
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Countries citing papers authored by Gerhard Kleinszig

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Kleinszig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011100
2 201683
3 201367
4 201267
5 201451
6 201348
7 201946
8 201541
9 201141
10 202040
11 201736
12 201734
13 201533
14 201633
15 201232
16 201731
17 201229
18 201528
19 201427
20 202026

About Gerhard Kleinszig

Gerhard Kleinszig is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Surgery, Computer Vision and Pattern Recognition and Radiation, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Imaging and Analysis (32 papers), Medical Imaging Techniques and Applications (29 papers), Advanced X-ray and CT Imaging (19 papers), Medical Image Segmentation Techniques (16 papers), Advanced Radiotherapy Techniques (10 papers), Surgical Simulation and Training (8 papers), Pelvic and Acetabular Injuries (8 papers) and Spinal Fractures and Fixation Techniques (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (424 citations), Biomedical Engineering (670 citations), Radiation (128 citations), Computer Vision and Pattern Recognition (254 citations) and Surgery (398 citations). Gerhard Kleinszig has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Jeffrey H. Siewerdsen, Ali Uneri, Sebastian Vogt, J. Webster Stayman, A. Jay Khanna, Yoshito Otake, Michael D. Ketcha, Sebastian Schäfer, Adam Wang and Wojciech Zbijewski. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, Spine, IEEE Transactions on Medical Imaging 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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