Robert Dürichen

22 papers receiving 717 citations

Peers

Robert Dürichen
Comparison fields: 5 of 110
  • Radiation 120
  • Experimental and Cognitive Psychology 136
  • Computer Vision and Pattern Recognition 175
  • Health Informatics 10
  • Radiology, Nuclear Medicine and Imaging 144
Replace Giovanni Luca Masala with:
Giovanni Luca Masala Italy
Xi Wu China
Mohamed Hédi Bedoui Tunisia
Esko Alasaarela Finland
Raffaella Lanzarotti Italy
Giuliano Grossi Italy
Kai Lawonn Germany
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Citations per year

Countries citing papers authored by Robert Dürichen

Since Specialization
Citations

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

Fields of papers citing papers by Robert Dürichen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017177
2 2019144
3 2014108
4 201372
5 202163
6 201941
7 201322
8 201320
9 201815
10 201414
11 201413
12 201912
13 20147
14 20186
15 20145
16 20124
17 20143
18
Multi-modal respiratory motion prediction using sequential forward selection method.
20132
19
Efficient SVR model update approaches for respiratory motion prediction.
20121
20
Multi-target affect detection in the wild: an exploratory study.
20191

About Robert Dürichen

Robert Dürichen is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 23 papers that have together received 732 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (8 papers), Non-Invasive Vital Sign Monitoring (7 papers), Lung Cancer Diagnosis and Treatment (5 papers), Emotion and Mood Recognition (4 papers), Medical Imaging Techniques and Applications (3 papers), Healthcare Technology and Patient Monitoring (3 papers), Mental Health Research Topics (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Radiation (120 citations), Experimental and Cognitive Psychology (136 citations), Computer Vision and Pattern Recognition (175 citations), Health Informatics (10 citations) and Radiology, Nuclear Medicine and Imaging (144 citations). Robert Dürichen has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Philip Schmidt, Attila Reiss, Achim Schweikard, Kristof Van Laerhoven, Floris Ernst, Rainer Stiefelhagen, Michael Hanselmann, Marco A. F. Pimentel, David A. Clifton and Lei Clifton. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Physics in Medicine and Biology, IEEE Transactions on Biomedical Engineering, Scientific Reports and Radiotherapy and Oncology.

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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