T. Heimann

1.3k total citations
9 papers, 134 citations indexed

About

T. Heimann is a scholar working on Computer Vision and Pattern Recognition, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, T. Heimann has authored 9 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in T. Heimann's work include Medical Image Segmentation Techniques (3 papers), Organ Donation and Transplantation (2 papers) and Organ Transplantation Techniques and Outcomes (2 papers). T. Heimann is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Organ Donation and Transplantation (2 papers) and Organ Transplantation Techniques and Outcomes (2 papers). T. Heimann collaborates with scholars based in Germany, Algeria and Denmark. T. Heimann's co-authors include Ivo Wolf, Hans‐Peter Meinzer, Peter Schemmer, Tobias Kunert, Markus W. Büchler, Hans-Peter Meinzer, Boris Radeleff, Jan‐Oliver Neumann, L. Fischer and Jan Schmidt and has published in prestigious journals such as Annals of the Rheumatic Diseases, IEEE Transactions on Medical Imaging and Transplantation.

In The Last Decade

T. Heimann

9 papers receiving 130 citations

Peers

T. Heimann

CVPR

SURGE

RNMI

HEPAT

BE

Milo Hindennach Germany

Oliver Gloger Germany

Philipp Schad Germany

Jianwei Lin China

László Ruskó Hungary

Ali Emre Kavur Türkiye

Benjamin Irving United Kingdom

Kinda Anna Saddi United Kingdom

Senhu Li United States

Caroline Kühnel Germany

Milo Hindennach Germany

T. Heimann

162 ×2.5

CVPR

58 ×1.7

SURGE

140 ×4.2

RNMI

34 ×1.5

HEPAT

63 ×3.1

BE

Citations per year, relative to T. Heimann T. Heimann (= 1×) peers Milo Hindennach

Countries citing papers authored by T. Heimann

Since Specialization

Citations

This map shows the geographic impact of T. Heimann'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 T. Heimann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Heimann more than expected).

Fields of papers citing papers by T. Heimann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Heimann

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

All Works

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9 of 9 papers shown

1.

Kleyer, Arnd, Sara Bayat, Filippo Fagni, et al.. (2023). POS0900 AUTOMATIC SCORING OF EROSION, SYNOVITIS AND BONE OEDEMA IN RHEUMATOID ARTHRITIS USING DEEP LEARNING ON HAND MAGNETIC RESONANCE IMAGING. Annals of the Rheumatic Diseases. 82. 758–759. 1 indexed citations

2.

Thamsen, Bente, Pavlo Yevtushenko, Arnaud A. A. Setio, et al.. (2021). Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability. IEEE Transactions on Medical Imaging. 40(5). 1438–1449. 22 indexed citations

3.

Wang, Xuan, et al.. (2012). Statistical tracking of tree-like tubular structures with efficient branching detection in 3D medical image data. Physics in Medicine and Biology. 57(16). 5325–5342. 15 indexed citations

4.

Heimann, T., et al.. (2008). Prostate segmentation from 3D transrectal ultrasound using statistical shape models and various appearance models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6914. 69141P–69141P. 6 indexed citations

5.

Wolf, Ivo, et al.. (2007). Automatic Generation of 3D Statistical Shape Models with Optimal Landmark Distributions. Methods of Information in Medicine. 46(3). 275–281. 18 indexed citations

6.

Schwarz, Tobias, T. Heimann, Ivo Wolf, & Hans-Peter Meinzer. (2007). 3D heart segmentation and volumetry using deformable shape models. 741–744. 8 indexed citations

7.

Neumann, Jan‐Oliver, L. Fischer, T. Heimann, et al.. (2006). Branching Patterns and Drainage Territories of the Middle Hepatic Vein in Computer-Simulated Right Living-Donor Hepatectomies. American Journal of Transplantation. 6(6). 1407–1415. 28 indexed citations

8.

Heimann, T., et al.. (2004). New methods for leak detection and contour correction in seeded region growing segmentation. 35. 317–322. 19 indexed citations

9.

Schemmer, Peter, T. Heimann, Marco Nolden, et al.. (2004). COMPUTER-BASED SURGERY PLANNING FOR LIVING LIVER DONATION. Transplantation. 78. 173–174. 17 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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