Malte Westerhoff

1.1k total citations
12 papers, 328 citations indexed

About

Malte Westerhoff 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, Malte Westerhoff has authored 12 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Malte Westerhoff's work include Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Imaging Techniques and Applications (2 papers). Malte Westerhoff is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Imaging Techniques and Applications (2 papers). Malte Westerhoff collaborates with scholars based in United States, Germany and France. Malte Westerhoff's co-authors include Hans‐Christian Hege, Alexander Maÿe, Jürgen Rybak, Robert Brandt, Randolf Menzel, Torsten Rohlfing, Sabine Krofczik, Grégoire Malandain, Céline Fouard and S. Prohaska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and The Journal of Comparative Neurology.

In The Last Decade

Malte Westerhoff

9 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Malte Westerhoff United States	6	135	96	79	49	47	12	328
Malte Zöckler Germany	9	147 1.1×	70 0.7×	43 0.5×	38 0.8×	161 3.4×	13	521
Markus Mronz Germany	4	311 2.3×	140 1.5×	146 1.8×	31 0.6×	10 0.2×	5	391
Joshua van Kleef Australia	11	179 1.3×	90 0.9×	87 1.1×	61 1.2×	5 0.1×	32	362
Logan A. Thomas United States	7	90 0.7×	43 0.4×	34 0.4×	26 0.5×	19 0.4×	8	273
Christopher L. Barnes Canada	11	124 0.9×	41 0.4×	33 0.4×	17 0.3×	9 0.2×	19	681
Chenghao Chen China	13	202 1.5×	80 0.8×	50 0.6×	16 0.3×	69 1.5×	39	538
Lindsey Healy United States	7	73 0.5×	47 0.5×	13 0.2×	90 1.8×	8 0.2×	7	372
Bradley H. Dickerson United States	6	115 0.9×	43 0.4×	84 1.1×	99 2.0×	9 0.2×	10	376
Ryosuke Tanaka Japan	10	93 0.7×	42 0.4×	40 0.5×	22 0.4×	4 0.1×	33	279
Stephen J Huston United States	7	200 1.5×	59 0.6×	79 1.0×	4 0.1×	18 0.4×	7	279

Countries citing papers authored by Malte Westerhoff

Since Specialization

Citations

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

Fields of papers citing papers by Malte Westerhoff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malte Westerhoff

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

All Works

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12 of 12 papers shown

Berger, Jeffrey S., Eduardo Iturrate, Malte Westerhoff, et al.. (2025). Opportunistic assessment of abdominal aortic calcification using artificial intelligence (AI) predicts coronary artery disease and cardiovascular events. American Heart Journal. 288. 122–130.

Westerhoff, Malte, Soterios Gyftopoulos, Bari Dane, et al.. (2025). Deep Learning–based Opportunistic CT Osteoporosis Screening and the Establishment of Normative Values. Radiology. 317(2). e250917–e250917.

Freedman, D., et al.. (2024). Quality assessment of expedited AI generated reformatted images for ED acquired CT abdomen and pelvis imaging. Abdominal Radiology. 50(3). 1441–1447. 1 indexed citations

Lewin, John, Martin Seebaß, MingDe Lin, et al.. (2023). PACS-integrated machine learning breast density classifier: clinical validation. Clinical Imaging. 101. 200–205. 1 indexed citations

Aboian, Mariam, Khaled Bousabarah, Tal Zeevi, et al.. (2022). Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction. Frontiers in Neuroscience. 16. 860208–860208. 20 indexed citations

Aboian, Mariam, Khaled Bousabarah, Tal Zeevi, et al.. (2022). Development of a workflow efficient PACS based automated brain tumor segmentation and radiomic feature extraction for clinical implementation (N2.003). Neurology. 98(18_supplement). 1 indexed citations

Beetz, Nick Lasse, Christoph Maier, Tobias Daniel Trippel, et al.. (2021). First PACS‐integrated artificial intelligence‐based software tool for rapid and fully automatic analysis of body composition from CT in clinical routine. SHILAP Revista de lepidopterología. 7(1). 3–11. 15 indexed citations

Fouard, Céline, Grégoire Malandain, S. Prohaska, & Malte Westerhoff. (2006). Blockwise processing applied to brain microvascular network study. IEEE Transactions on Medical Imaging. 25(10). 1319–1328. 60 indexed citations

Brandt, Robert, Torsten Rohlfing, Jürgen Rybak, et al.. (2005). Three-dimensional average-shape atlas of the honeybee brain and its applications. The Journal of Comparative Neurology. 492(1). 1–19. 194 indexed citations

10.

Fouard, Céline, Grégoire Malandain, S. Prohaska, et al.. (2005). Skeletonization by blocks for large 3D datasets: application to brain microcirculation. 2. 89–92. 15 indexed citations

11.

Lamecker, Hans, Thomas Lange, Martin Seebaß, et al.. (2003). Automatic Segmentation of the Liver for Preoperative Planning of Resections. Studies in health technology and informatics. 94. 171–3. 21 indexed citations

12.

Hege, Hans‐Christian, et al.. (2002). From Image Data to Three-Dimensional Models - Case Studies on the Impact of 3D Patient Models.

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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