B. Michael Kelm

2.4k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

B. Michael Kelm is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, B. Michael Kelm has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Biomedical Engineering and 4 papers in Artificial Intelligence. Recurrent topics in B. Michael Kelm's work include Advanced MRI Techniques and Applications (7 papers), Cardiac Imaging and Diagnostics (4 papers) and MRI in cancer diagnosis (3 papers). B. Michael Kelm is often cited by papers focused on Advanced MRI Techniques and Applications (7 papers), Cardiac Imaging and Diagnostics (4 papers) and MRI in cancer diagnosis (3 papers). B. Michael Kelm collaborates with scholars based in Germany, United States and Belgium. B. Michael Kelm's co-authors include Bjoern Menze, Fred A. Hamprecht, Peter Bachert, Wolfgang Petrich, Uwe Himmelreich, Yefeng Zheng, Dorin Comaniciu, Michael Wels, Christian M. Zechmann and Michael Suehling and has published in prestigious journals such as Magnetic Resonance in Medicine, IEEE Transactions on Medical Imaging and BMC Bioinformatics.

In The Last Decade

B. Michael Kelm

19 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

2009 904 citations Bjoern Menze, B. Michael Kelm et al. BMC Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B. Michael Kelm Germany	13	299	247	200	135	132	19	1.3k
Tzu-Tsung Wong Taiwan	12	123 0.4×	196 0.8×	593 3.0×	207 1.5×	191 1.4×	19	2.2k
Yukio Kosugi Japan	15	217 0.7×	204 0.8×	108 0.5×	49 0.4×	139 1.1×	84	1.0k
Ying Xue China	3	126 0.4×	136 0.6×	331 1.7×	106 0.8×	140 1.1×	6	1.5k
Lianghao Han United Kingdom	17	285 1.0×	304 1.2×	107 0.5×	21 0.2×	164 1.2×	40	1.4k
Muhammad Ayaz Saudi Arabia	24	721 2.4×	252 1.0×	87 0.4×	280 2.1×	99 0.8×	76	3.7k
Ming Qian China	24	195 0.7×	339 1.4×	155 0.8×	40 0.3×	274 2.1×	111	1.9k
Jiguo Cao Canada	24	93 0.3×	262 1.1×	394 2.0×	268 2.0×	98 0.7×	120	2.4k
Andreas W. Kempa-Liehr Germany	18	105 0.4×	234 0.9×	521 2.6×	114 0.8×	102 0.8×	57	2.1k
Marina Skurichina Netherlands	12	189 0.6×	148 0.6×	359 1.8×	69 0.5×	223 1.7×	14	1.0k

Countries citing papers authored by B. Michael Kelm

Since Specialization

Citations

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

Fields of papers citing papers by B. Michael Kelm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Michael Kelm. 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 B. Michael Kelm. The network helps show where B. Michael Kelm may publish in the future.

Co-authorship network of co-authors of B. Michael Kelm

This figure shows the co-authorship network connecting the top 25 collaborators of B. Michael Kelm. A scholar is included among the top collaborators of B. Michael Kelm 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 B. Michael Kelm. B. Michael Kelm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Müller, Henning, B. Michael Kelm, Tal Arbel, et al.. (2017). Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging. Lecture notes in computer science. 19 indexed citations

Müller, Henning, B. Michael Kelm, Tal Arbel, et al.. (2017). Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. 1 indexed citations

Wolterink, Jelmer M., Tim Leiner, Bob D. de Vos, et al.. (2016). An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework. Medical Physics. 43(5). 2361–2373. 56 indexed citations

Zhang, Jingdan, et al.. (2014). Improving accuracy in coronary lumen segmentation via explicit calcium exclusion, learning-based ray detection and surface optimization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 90343U–90343U. 14 indexed citations

Mirzaalian, Hengameh, Michael Wels, Tobias Heimann, B. Michael Kelm, & Michael Suehling. (2013). Fast and robust 3D vertebra segmentation using statistical shape models. PubMed. 2013. 3379–3382. 18 indexed citations

Wels, Michael, B. Michael Kelm, Matthias Hammon, et al.. (2012). Data-Driven Breast Decompression and Lesion Mapping from Digital Breast Tomosynthesis. Lecture notes in computer science. 15(Pt 1). 438–446. 3 indexed citations

Zechmann, Christian M., Bjoern Menze, B. Michael Kelm, et al.. (2012). Automated vs. Manual Pattern Recognition of 3D 1H MRSI Data of Patients with Prostate Cancer. Academic Radiology. 19(6). 675–684. 5 indexed citations

Kelm, B. Michael, Michael Wels, S. Kevin Zhou, et al.. (2012). Spine detection in CT and MR using iterated marginal space learning. Medical Image Analysis. 17(8). 1283–1292. 75 indexed citations

Wels, Michael, B. Michael Kelm, Alexey Tsymbal, et al.. (2012). Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8315. 831513–831513. 14 indexed citations

10.

Kelm, B. Michael, Yefeng Zheng, Alexey Tsymbal, et al.. (2011). Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. Lecture notes in computer science. 14(Pt 3). 25–32. 55 indexed citations

11.

Kelm, B. Michael, A Henning, Marc‐An dré Weber, et al.. (2011). Using spatial prior knowledge in the spectral fitting of MRS images. NMR in Biomedicine. 25(1). 1–13. 12 indexed citations

12.

Kelm, B. Michael, Bjoern Menze, O. Nix, Christian M. Zechmann, & Fred A. Hamprecht. (2009). Estimating Kinetic Parameter Maps From Dynamic Contrast-Enhanced MRI Using Spatial Prior Knowledge. IEEE Transactions on Medical Imaging. 28(10). 1534–1547. 41 indexed citations

13.

Menze, Bjoern, B. Michael Kelm, Uwe Himmelreich, et al.. (2009). A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data. BMC Bioinformatics. 10(1). 213–213. 904 indexed citations breakdown →

14.

Menze, Bjoern, et al.. (2009). Processing spectral data. Surface and Interface Analysis. 41(8). 636–644. 8 indexed citations

15.

Menze, Bjoern, B. Michael Kelm, Marc‐An dré Weber, Peter Bachert, & Fred A. Hamprecht. (2008). Mimicking the human expert: Pattern recognition for an automated assessment of data quality in MR spectroscopic images. Magnetic Resonance in Medicine. 59(6). 1457–1466. 27 indexed citations

16.

Kelm, B. Michael, Bjoern Menze, Christian M. Zechmann, K. Baudendistel, & Fred A. Hamprecht. (2006). Automated estimation of tumor probability in prostate magnetic resonance spectroscopic imaging: Pattern recognition vs quantification. Magnetic Resonance in Medicine. 57(1). 150–159. 35 indexed citations

17.

Menze, Bjoern, Matthias P. Lichy, Peter Bachert, et al.. (2006). Optimal classification of long echo time in vivo magnetic resonance spectra in the detection of recurrent brain tumors. NMR in Biomedicine. 19(5). 599–609. 23 indexed citations

18.

Kelm, B. Michael, et al.. (2006). Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning. 828–832. 18 indexed citations

19.

Kelm, B. Michael, Nico Mueller, Bjoern Menze, & Fred A. Hamprecht. (2006). Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM. 96–96. 5 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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