H. Hoffmann

23.4k citations
129 papers · 4.4k indexed · 3 hit papers · h-index 26

H. Hoffmann

118 papers receiving 4.3k citations

Hit Papers

Dynamical Movement Primitives: Learning Attractor Models ...1.1k20062026201220192505007501000

Peers

H. Hoffmann
Comparison fields: 5 of 171
  • Control and Systems Engineering 1.8k
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 729
  • Biomedical Engineering 1.0k
  • Cognitive Neuroscience 408
Replace Türker İnce with:
Türker İnce Türkiye
Ayad Q. Al-Dujaili Iraq
Kevin L. Moore United States
Omran Al-Shamma Iraq
Muthana Al‐Amidie United States
Lianyang Ma China
Karl R. Weiss United States
İnan Güler Türkiye
Bing Shuai Singapore
H. Hoffmann relative to Türker İnce Türkiye Türker İnce's profile →
Citations per field
00.5×1.5×1.8×
Türker İnce · 1×
Citations per year

Countries citing papers authored by H. Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by H. Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside H. Hoffmann, 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 H. Hoffmann Line = papers co-authored together H. Hoffmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20225
2
Pooling by Sliced-Wasserstein Embedding
20215
3 201836
4 201620
5 20151
6
Learning and generalization of motor skills by learning from demonstrationbreakdown →
2009466
7 20093
8 200737
9
Kernel PCA for novelty detectionbreakdown →
2006488
10 200644
11 200614
12 200648
13 200525
14 200520
15 20043
16 200114
17 199124
18 19906
19 19883
20 19830

About H. Hoffmann

H. Hoffmann is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Oncology, Anesthesiology and Pain Medicine and Cognitive Neuroscience, having authored 129 papers that have together received 4.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (15 papers), Lung Cancer Treatments and Mutations (12 papers), Robot Manipulation and Learning (7 papers), Cancer Diagnosis and Treatment (7 papers), Trauma Management and Diagnosis (6 papers), Medical Imaging and Pathology Studies (6 papers), Tracheal and airway disorders (6 papers) and Pleural and Pulmonary Diseases (6 papers). The work is most often cited by research in Control and Systems Engineering (1.8k citations), Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (729 citations), Biomedical Engineering (1.0k citations) and Cognitive Neuroscience (408 citations). H. Hoffmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter Pástor, Stefan Schaal, Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal, Tamim Asfour, Hans J. Vogel, Hendrik Dienemann, Soheil Kolouri and Kurt Roth. Their work appears in journals such as The Thoracic and Cardiovascular Surgeon, Physical review. C, Geoderma, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and Neural Computation.

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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