2026 Joachim M. Buhmann: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	82	973	942	23	23	357	24661

Joachim M. Buhmann publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Joachim M. Buhmann sits on this spectrum.

32 publications 991+

This scientist: 357 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Joachim M. Buhmann D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Joachim M. Buhmann sits on this spectrum.

30 D-Index 131+

This scientist: 82 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2025 - Research.com Computer Science in Switzerland Leader Award
2022 - Research.com Computer Science in Switzerland Leader Award
2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and statistical machine learning theory

Overview

Joachim M. Buhmann is affiliated with ETH Zurich in Switzerland. Their research spans a multidisciplinary intersection of computer science and medicine, with significant contributions to artificial intelligence and medical imaging.

The primary fields of study include computer science, with 55 publications, and medicine, totaling 44 publications. Within these disciplines, key subfields addressed are:

Artificial Intelligence
Computer Vision and Pattern Recognition
Radiology, Nuclear Medicine and Imaging
Cardiology and Cardiovascular Medicine
Radiation

Buhmann's research topics cover a variety of areas such as:

Medical Imaging Techniques and Applications
Medical Image Segmentation Techniques
Advanced Radiotherapy Techniques
Advanced Neural Network Applications
Complexity and Algorithms in Graphs
Cardiac Imaging and Diagnostics
Sleep and Wakefulness Research

Recent publications by Buhmann include:

"Assessment of Artificial Intelligence in Echocardiography Diagnostics in Differentiating Takotsubo Syndrome From Myocardial Infarction" (2022), published in JAMA Cardiology
"Rapid and reversible control of human metabolism by individual sleep states" (2021), published in Cell Reports
"Entrack: Probabilistic Spherical Regression with Entropy Regularization for Fiber Tractography" (2020), published in International Journal of Computer Vision
"Improving 1-year mortality prediction in ACS patients using machine learning" (2021), published in European Heart Journal Acute Cardiovascular Care
"Weakly supervised inference of personalized heart meshes based on echocardiography videos" (2022), published in Medical Image Analysis

Frequent publication venues where Buhmann's work appears include:

arXiv (Cornell University)
Radiotherapy and Oncology
European Heart Journal Acute Cardiovascular Care
Medical Image Analysis
International Journal of Computer Assisted Radiology and Surgery

Buhmann collaborates regularly with multiple researchers, among the frequent co-authors are:

Ye Zhang
Xia Li
Antony Lomax
Fabian Laumer
Luca Corinzia

In recognition of their contributions to the fields of pattern recognition and statistical machine learning theory, Joachim M. Buhmann was named a Fellow of the International Association for Pattern Recognition (IAPR) in 2020.

Best Publications

Distortion invariant object recognition in the dynamic link architecture

M. Lades;J.C. Vorbruggen;J. Buhmann;J. Lange

2831
Citations
The Balanced Accuracy and Its Posterior Distribution

Kay Henning Brodersen;Cheng Soon Ong;Klaas Enno Stephan;Joachim M. Buhmann

1778
Citations
Stability-based validation of clustering solutions

Tilman Lange;Volker Roth;Mikio L. Braun;Joachim M. Buhmann

674
Citations
Pairwise data clustering by deterministic annealing

T. Hofmann;J.M. Buhmann

636
Citations
Empirical evaluation of dissimilarity measures for color and texture

J. Puzicha;J.M. Buhmann;Y. Rubner;C. Tomasi

498
Citations
Empirical Evaluation of Dissimilarity Measures for Color and Texture

Yossi Rubner;Jan Puzicha;Carlo Tomasi;Joachim M Buhmann

471
Citations
Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation.

Julian G. Zilly;Joachim M. Buhmann;Dwarikanath Mahapatra

398
Citations
Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry

Lukas Reiter;Manfred Claassen;Sabine P. Schrimpf;Marko Jovanovic

374
Citations
Crowdsourcing the creation of image segmentation algorithms for connectomics

Ignacio Arganda-Carreras;Srinivas C. Turaga;Daniel R. Berger;Dan Cireşan

367
Citations
Non-parametric similarity measures for unsupervised texture segmentation and image retrieval

J. Puzicha;T. Hofmann;J.M. Buhmann

363
Citations
Topology free hidden Markov models: application to background modeling

B. Stenger;V. Ramesh;N. Paragios;F. Coetzee

328
Citations
Unsupervised texture segmentation in a deterministic annealing framework

T. Hofmann;J. Puzicha;J.M. Buhmann

322
Citations
Sensory segmentation with coupled neural oscillators

Christoph Malsburg;Joachim Buhmann

313
Citations
Path-based clustering for grouping of smooth curves and texture segmentation

B. Fischer;J.M. Buhmann

305
Citations
Computational pathology: challenges and promises for tissue analysis.

Thomas J. Fuchs;Joachim M. Buhmann

296
Citations
The Mobile Robot Rhino

J. Buhmann;W. Burgard;A. B. Cremers;D. Fox

284
Citations
Bagging for path-based clustering

B. Fischer;J.M. Buhmann

283
Citations
Pattern segmentation in associative memory

DeLiang Wang;Joachim Buhmann;Christoph von der Malsburg

281
Citations
TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks

Dmitry Laptev;Nikolay Savinov;Joachim M. Buhmann;Marc Pollefeys

273
Citations
Optimal cluster preserving embedding of nonmetric proximity data

V. Roth;J. Laub;M. Kawanabe;J.M. Buhmann

265
Citations
Computer Vision (ICCV), 2011 IEEE International Conference on

Alexander Vezhnevets;Vittorio Ferrari;J.M. Buhmann

165
Citations
Probabilistic image registration and anomaly detection by nonlinear warping

V. Kaynig;B. Fischer;J.M. Buhmann

20
Citations

Frequent Co-Authors

Dwarikanath Mahapatra Khalifa University

Volker Roth University of Basel

Thomas Hofmann ETH Zurich

Klaas E. Stephan University of Zurich

Andreas Krause ETH Zurich

Peter J. Wild Frankfurt Institute for Advanced Studies

Ruedi Aebersold ETH Zurich

Björn Ommer Ludwig-Maximilians-Universität München

Klaus Schulten University of Illinois at Urbana-Champaign

Holger Moch University of Zurich

External Links

Personal website of Joachim M. Buhmann Google Scholar page

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