H. Gemmeke

1.8k total citations
80 papers, 999 citations indexed

About

H. Gemmeke is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, H. Gemmeke has authored 80 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiology, Nuclear Medicine and Imaging, 39 papers in Biomedical Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in H. Gemmeke's work include Ultrasound Imaging and Elastography (54 papers), Medical Imaging Techniques and Applications (43 papers) and Photoacoustic and Ultrasonic Imaging (24 papers). H. Gemmeke is often cited by papers focused on Ultrasound Imaging and Elastography (54 papers), Medical Imaging Techniques and Applications (43 papers) and Photoacoustic and Ultrasonic Imaging (24 papers). H. Gemmeke collaborates with scholars based in Germany, Netherlands and China. H. Gemmeke's co-authors include Nicole V. Ruiter, Michael Zapf, Torsten Hopp, R. Dapp, Rainer Stotzka, W. A. Kaiser, Koen W. A. van Dongen, Tim Müller, Jürgen R. Reichenbach and Georg Göbel and has published in prestigious journals such as The Journal of the Acoustical Society of America, Physics in Medicine and Biology and Neurocomputing.

In The Last Decade

H. Gemmeke

77 papers receiving 966 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Gemmeke Germany 17 692 554 198 143 115 80 999
Nicole V. Ruiter Germany 20 952 1.4× 691 1.2× 270 1.4× 213 1.5× 131 1.1× 138 1.3k
Neb Duric United States 21 798 1.2× 601 1.1× 226 1.1× 280 2.0× 223 1.9× 68 1.2k
Andreas Hauptmann United Kingdom 16 519 0.8× 608 1.1× 386 1.9× 52 0.4× 135 1.2× 48 1.3k
Lan Gao United States 17 485 0.7× 454 0.8× 386 1.9× 45 0.3× 125 1.1× 70 1.2k
James Wiskin United States 15 459 0.7× 464 0.8× 158 0.8× 76 0.5× 111 1.0× 42 790
S.G. Azevedo United States 13 282 0.4× 394 0.7× 54 0.3× 45 0.3× 40 0.3× 58 678
Jeremiah Zhe Liu United States 7 822 1.2× 403 0.7× 37 0.2× 120 0.8× 26 0.2× 17 1.2k
Jakob Sauer Jørgensen Denmark 17 490 0.7× 394 0.7× 28 0.1× 43 0.3× 31 0.3× 56 933
Jiaming Liu United States 14 318 0.5× 316 0.6× 52 0.3× 37 0.3× 29 0.3× 48 716

Countries citing papers authored by H. Gemmeke

Since Specialization
Citations

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

Fields of papers citing papers by H. Gemmeke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Gemmeke

This figure shows the co-authorship network connecting the top 25 collaborators of H. Gemmeke. A scholar is included among the top collaborators of H. Gemmeke 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 H. Gemmeke. H. Gemmeke 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.
2.
Ruiter, Nicole V., Michael Zapf, Torsten Hopp, & H. Gemmeke. (2023). Ultrasound Tomography. Advances in experimental medicine and biology. 1403. 171–200. 3 indexed citations
3.
Fan, Yuling, Hongjian Wang, H. Gemmeke, et al.. (2022). Simulation-to-real generalization for deep-learning-based refraction-corrected ultrasound tomography image reconstruction. Physics in Medicine and Biology. 68(3). 35016–35016. 1 indexed citations
4.
Wang, Hongjian, et al.. (2020). Ultrasound transmission tomography image reconstruction with a fully convolutional neural network. Physics in Medicine and Biology. 65(23). 235021–235021. 18 indexed citations
5.
Hopp, Torsten, Michael Zapf, H. Gemmeke, & Nicole V. Ruiter. (2018). Experimental evaluation of straight ray and bent ray phase aberration correction for USCT SAFT imaging. 7629. 17–17. 4 indexed citations
6.
Hopp, Torsten, et al.. (2015). Registration of 3D ultrasound computer tomography and MRI for evaluation of tissue correspondences. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9419. 94190Q–94190Q. 3 indexed citations
7.
Wille, Marie‐Luise, Michael Zapf, Nicole V. Ruiter, H. Gemmeke, & Christian M. Langton. (2015). Comparison of active-set method deconvolution and matched-filtering for derivation of an ultrasound transit time spectrum. Physics in Medicine and Biology. 60(12). N251–N260. 7 indexed citations
8.
Zapf, Michael, et al.. (2013). GPU based acceleration of 3D USCT image reconstruction with efficient integration into MATLAB. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8675. 86750O–86750O. 14 indexed citations
9.
Dapp, R., H. Gemmeke, & Nicole V. Ruiter. (2012). Attenuation reconstruction for 3D Ultrasound Computer Tomography. International Conference on Systems, Signals and Image Processing. 484–487. 4 indexed citations
10.
Ruiter, Nicole V., et al.. (2012). 3D ultrasound computer tomography of the breast: A new era?. European Journal of Radiology. 81. S133–S134. 44 indexed citations
11.
Hopp, Torsten, Matthias Dietzel, Pascal Baltzer, et al.. (2012). Automatic multimodal 2D/3D breast image registration using biomechanical FEM models and intensity-based optimization. Medical Image Analysis. 17(2). 209–218. 54 indexed citations
12.
Ruiter, Nicole V., Michael Zapf, Torsten Hopp, R. Dapp, & H. Gemmeke. (2012). Phantom image results of an optimized full 3D USCT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8320. 832005–832005. 22 indexed citations
13.
Ruiter, Nicole V., Michael Zapf, R. Dapp, Torsten Hopp, & H. Gemmeke. (2012). First in vivo results with 3D ultrasound computer tomography. 1–4. 14 indexed citations
14.
Ruiter, Nicole V., et al.. (2011). Realization of an optimized 3D USCT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7968. 796805–796805. 46 indexed citations
15.
Ruiter, Nicole V., et al.. (2008). Improvement of 3D ultrasound computer tomography images by signal pre-processing. 852–855. 27 indexed citations
16.
Stotzka, Rainer, et al.. (2004). Ultrasound computer tomography for breast cancer diagnosis. Technology and Health Care. 12(2). 179–182. 4 indexed citations
17.
Ruiter, Nicole V., Tim Müller, Rainer Stotzka, et al.. (2002). AUTOMATIC IMAGE MATCHING FOR BREAST CANCER DIAGNOSTICS BY A 3D DEFORMATION MODEL OF THE MAMMA. Biomedizinische Technik/Biomedical Engineering. 47(s1b). 644–647. 20 indexed citations
18.
Fischer, Thomas, et al.. (1999). NeuroLution: integrated hardware and software for the development of neural network applications. Systems Analysis Modelling Simulation. 35(4). 447–481.
19.
Gemmeke, H., et al.. (1998). Neural chip SAND/1 for real time pattern recognition. IEEE Transactions on Nuclear Science. 45(4). 1819–1823. 4 indexed citations
20.
Zimmermann, R., et al.. (1977). Ein neuer Fall von schwerem Faktor XIII-Mangel. Annals of Hematology. 35(6). 457–464. 3 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.

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