Hans Frimmel

767 total citations
31 papers, 544 citations indexed

About

Hans Frimmel is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hans Frimmel has authored 31 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hans Frimmel's work include Medical Image Segmentation Techniques (12 papers), Colorectal Cancer Screening and Detection (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Hans Frimmel is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Colorectal Cancer Screening and Detection (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Hans Frimmel collaborates with scholars based in Sweden, United States and Australia. Hans Frimmel's co-authors include Janne J. Näppi, Håkan Åhlström, Joel Kullberg, Hiroyuki Yoshida, Örjan Smedby, Abraham H. Dachman, Lars Johansson, John Brandberg, Lars Lönn and L. E. B. Johansson and has published in prestigious journals such as International Journal of Obesity, Medical Physics and Urology.

In The Last Decade

Hans Frimmel

30 papers receiving 520 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hans Frimmel Sweden 13 183 159 145 128 121 31 544
Sila Kurugol United States 14 244 1.3× 78 0.5× 54 0.4× 70 0.5× 292 2.4× 51 684
Christopher P. Bridge United States 14 205 1.1× 45 0.3× 140 1.0× 50 0.4× 64 0.5× 43 593
Tomas Sakinis Norway 7 265 1.4× 35 0.2× 125 0.9× 68 0.5× 52 0.4× 10 499
Petro Kostandy United States 7 218 1.2× 33 0.2× 111 0.8× 54 0.4× 36 0.3× 8 446
Dongheon Lee South Korea 11 137 0.7× 113 0.7× 34 0.2× 64 0.5× 121 1.0× 27 397
Maurice Pradella Switzerland 8 357 2.0× 49 0.3× 28 0.2× 72 0.6× 125 1.0× 32 622
Martin Segeroth Switzerland 5 337 1.8× 48 0.3× 27 0.2× 78 0.6× 84 0.7× 11 516
Mitsutaka Nemoto Japan 12 202 1.1× 37 0.2× 31 0.2× 94 0.7× 158 1.3× 50 527
Γεωργία Γεωργίου Greece 12 157 0.9× 41 0.3× 93 0.6× 61 0.5× 20 0.2× 34 445
Takuji Kiryu Japan 10 109 0.6× 63 0.4× 35 0.2× 61 0.5× 224 1.9× 32 349

Countries citing papers authored by Hans Frimmel

Since Specialization
Citations

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

Fields of papers citing papers by Hans Frimmel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Frimmel

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Frimmel. A scholar is included among the top collaborators of Hans Frimmel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans Frimmel. Hans Frimmel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Frimmel, Hans, et al.. (2015). Fast vascular skeleton extraction algorithm. Pattern Recognition Letters. 76. 67–75. 7 indexed citations
2.
Wang, Chunliang, Hans Frimmel, & Örjan Smedby. (2014). Fast level-set based image segmentation using coherent propagation. Medical Physics. 41(7). 73501–73501. 29 indexed citations
3.
Kullberg, Joel, John Brandberg, Hans Frimmel, et al.. (2009). Whole-body adipose tissue analysis: comparison of MRI, CT and dual energy X-ray absorptiometry. British Journal of Radiology. 82(974). 123–130. 120 indexed citations
4.
Samur, Evren, et al.. (2008). A modular simulation framework for colonoscopy using a new haptic device.. PubMed. 132. 165–70. 9 indexed citations
5.
Kullberg, Joel, Håkan Åhlström, Lars Johansson, & Hans Frimmel. (2007). Automated and reproducible segmentation of visceral and subcutaneous adipose tissue from abdominal MRI. International Journal of Obesity. 31(12). 1806–1817. 72 indexed citations
6.
Acosta, Oscar, Hans Frimmel, Aaron Fenster, & Sébastien Ourselin. (2007). FILTERING AND RESTORATION OF STRUCTURES IN 3D ULTRASOUND IMAGES. 6. 888–891. 1 indexed citations
7.
Kullberg, Joel, Lars Lönn, John Brandberg, et al.. (2006). Whole‐body T1 mapping improves the definition of adipose tissue: Consequences for automated image analysis. Journal of Magnetic Resonance Imaging. 24(2). 394–401. 28 indexed citations
8.
Frimmel, Hans, Janne J. Näppi, & H. Yoshida. (2005). Centerline‐based colon segmentation for CT colonography. Medical Physics. 32(8). 2665–2672. 29 indexed citations
9.
Näppi, Janne J., Hans Frimmel, & Hiroyuki Yoshida. (2005). Virtual Endoscopic Visualization of the Colon by Shape–Scale Signatures. IEEE Transactions on Information Technology in Biomedicine. 9(1). 120–131. 10 indexed citations
10.
Näppi, Janne J., Akihiko Okamura, Hans Frimmel, Abraham H. Dachman, & Hiroyuki Yoshida. (2005). Region-based Supine-prone Correspondence for the Reduction of False-positive CAD Polyp Candidates in CT Colonography1. Academic Radiology. 12(6). 695–707. 38 indexed citations
11.
Näppi, Janne J., Hans Frimmel, Abraham H. Dachman, & Hiroyuki Yoshida. (2004). New high-performance CAD scheme for the detection of polyps in CT colonography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5370. 839–839. 12 indexed citations
12.
Frimmel, Hans, Janne J. Näppi, & Hiroyuki Yoshida. (2004). Fast and robust computation of colon centerline in CT colonography. Medical Physics. 31(11). 3046–3056. 18 indexed citations
13.
Frimmel, Hans, et al.. (2003). Fast and robust method to compute colon centerline in CT colonography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5031. 381–381. 4 indexed citations
14.
Frimmel, Hans. (1999). Positioning Biopsy Needles in the Prostate Gland Using 3d Computer Modelling.
15.
16.
Frimmel, Hans, Lars Egevad, Ewert Bengtsson, & Christer Busch. (1999). Modeling prostate cancer distributions. Urology. 54(6). 1028–1034. 26 indexed citations
17.
Egevad, Lars, Hans Frimmel, Mona Norberg, et al.. (1999). Three-dimensional computer reconstruction of prostate cancer from radical prostatectomy specimens: evaluation of the model by core biopsy simulation. Urology. 53(1). 192–198. 22 indexed citations
18.
Carlbom, Ingrid, Christer Busch, Thomas H. Douglas, et al.. (1998). Three-dimensional modeling of biopsy protocols for localized prostate cancer. Computerized Medical Imaging and Graphics. 22(3). 229–238. 17 indexed citations
19.
Frimmel, Hans. (1997). Biopsy Needle Optimisation. 381–387. 1 indexed citations
20.
Frimmel, Hans, et al.. (1980). Karzinoembryonales Antigen (CEA) und Blutgruppenantigene A, B in Paraffinschnitten epithelialer Ovarialtumoren. Gyn�kologisch-geburtshilfliche Rundschau. 20(2). 148–150. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sila Kurugol Breakdown of academic impact, for papers by Christopher P. Bridge Breakdown of academic impact, for papers by Tomas Sakinis Breakdown of academic impact, for papers by Petro Kostandy Breakdown of academic impact, for papers by Dongheon Lee Breakdown of academic impact, for papers by Maurice Pradella Breakdown of academic impact, for papers by Martin Segeroth Breakdown of academic impact, for papers by Mitsutaka Nemoto Breakdown of academic impact, for papers by Γεωργία Γεωργίου Breakdown of academic impact, for papers by Takuji Kiryu
Rankless by CCL
2026