Jonas Pfeiffer

807 citations
31 papers · 396 · h-index 9

Impact in

Papers in

Jonas Pfeiffer

28 papers receiving 372 citations

Peers

Jonas Pfeiffer
Comparison fields: 5 of 63
  • Radiation 68
  • Medical Laboratory Technology 10
  • Radiology, Nuclear Medicine and Imaging 132
  • Computer Vision and Pattern Recognition 112
  • Artificial Intelligence 171
Replace Mingyan Jiang with:
Mingyan Jiang China
Laquan Li China
Jie Tian China
Serge Miguet France
Guangyuan Li China
Yoshinori Tanabe Japan
Changfa Shi China
Tian-ge Zhuang China
Mingquan Lin United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonas Pfeiffer

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Pfeiffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002135
2 202240
3 202137
4 202231
5 202222
6 201716
7 201515
8 201910
9 201610
10 20158
11 20237
12 20176
13 20236
14 20226
15 20186
16 20206
17 20235
18 20224
19 20244
20 20234

About Jonas Pfeiffer

Jonas Pfeiffer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Surgery, Biomedical Engineering and Hardware and Architecture, having authored 31 papers that have together received 396 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers), Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (6 papers), Healthcare Technology and Patient Monitoring (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Real-Time Systems Scheduling (3 papers) and Text Readability and Simplification (3 papers). The work is most often cited by research in Radiation (68 citations), Medical Laboratory Technology (10 citations), Radiology, Nuclear Medicine and Imaging (132 citations), Computer Vision and Pattern Recognition (112 citations) and Artificial Intelligence (171 citations). Jonas Pfeiffer has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Steven R. Meikle, Chris Constable, Roger Fulton, Stefan Eberl, Ivan Vulić, Iryna Gurevych, Tim C. Lueth, Christian Dietz, Sebastian Ruder and Edoardo Maria Ponti. Their work appears in journals such as Transactions of the Association for Computational Linguistics, IEEE Transactions on Nuclear Science, Biomedizinische Technik/Biomedical Engineering, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Edinburgh Research Explorer.

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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