Jonas Pfeiffer

843 citations
31 papers · 408 · h-index 9

Impact in

Papers in

Jonas Pfeiffer

29 papers receiving 383 citations

Peers

Jonas Pfeiffer
Comparison fields: 5 of 60
  • Radiation 61
  • Radiology, Nuclear Medicine and Imaging 128
  • Artificial Intelligence 176
  • Computer Vision and Pattern Recognition 109
  • Medical Laboratory Technology 7
Replace Mingyan Jiang with:
Mingyan Jiang China
Markus Nagel Germany
Laquan Li China
Hajar Emami United States
Jie Tian China
Guangyuan Li China
Serge Miguet France
Yoshinori Tanabe Japan
N. Makni France
Jonas Pfeiffer relative to Mingyan Jiang China Mingyan Jiang's profile →
Citations per field
00.5×5.3×
Mingyan Jiang · 1×
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 2002137
2 202242
3 202139
4 202231
5 202223
6 201716
7 201515
8 201610
9 201910
10 20158
11 20237
12 20237
13 20206
14 20176
15 20226
16 20186
17 20236
18 20245
19 20224
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 408 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 (61 citations), Radiology, Nuclear Medicine and Imaging (128 citations), Artificial Intelligence (176 citations), Computer Vision and Pattern Recognition (109 citations) and Medical Laboratory Technology (7 citations). Jonas Pfeiffer has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Roger Fulton, Stefan Eberl, Chris Constable, Steven R. Meikle, Ivan Vulić, Iryna Gurevych, Tim C. Lueth, Christian Dietz, Sebastian Ruder and Goran Glavašš. 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 Findings of the Association for Computational Linguistics: ACL 2022.

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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