Alexander Tack

12 papers receiving 803 citations

Alexander Tack's Hit Papers

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images 2021 · 256 citations
2560+1+3Years since publication50100150200250

Peers

Alexander Tack
Comparison fields: 5 of 74
  • Health Informatics 30
  • Rheumatology 178
  • Oral Surgery 67
  • Biomedical Engineering 337
  • Radiology, Nuclear Medicine and Imaging 155
Replace Felix Ambellan with:
Felix Ambellan Germany
Moritz Ehlke Germany
G.R. Vincent United Kingdom
Zhaoye Zhou United States
Berk Norman United States
Gengyan Zhao United States
Hans Liebl Germany
Hiroyuki Sugimori Japan
Jérôme Schmid Switzerland
Jukka Hirvasniemi Finland
Alexander Tack relative to Felix Ambellan Germany Felix Ambellan's profile →
Citations per field
00.5×2×3×3.7×
Felix Ambellan · 1×
Citations per year

Countries citing papers authored by Alexander Tack

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Tack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alexander Tack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alexander Tack Line = papers co-authored together Alexander Tack links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2018288
2
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images
Hit paper breakdown →
2021256
3 201899
4 202144
5 201735
6 202125
7 201919
8 202118
9 202416
10 20255
11 20175
12
Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative
20184

About Alexander Tack

Alexander Tack is a scholar working on Rheumatology, Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery and Oral Surgery, having authored 12 papers that have together received 814 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (4 papers), Medical Imaging and Analysis (2 papers), Total Knee Arthroplasty Outcomes (2 papers), Human Pose and Action Recognition (2 papers), Digital Imaging for Blood Diseases (1 paper), Dental Radiography and Imaging (1 paper), Knee injuries and reconstruction techniques (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Health Informatics (30 citations), Rheumatology (178 citations), Oral Surgery (67 citations), Biomedical Engineering (337 citations) and Radiology, Nuclear Medicine and Imaging (155 citations). Alexander Tack has collaborated with scholars based in Germany, China and Luxembourg. Frequent co-authors include Stefan Zachow, Felix Ambellan, Moritz Ehlke, Anirban Mukhopadhyay, Bernhard Preim, Johan Thunberg, Peter Gemmar, Florian Bernard, Frank Hertel and Jorge Gonçalves. Their work appears in journals such as Medical Image Analysis, Osteoarthritis and Cartilage, Frontiers in Bioengineering and Biotechnology, PLoS Medicine and Arthritis & Rheumatology.

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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