Thomas Blaffert

912 citations
36 papers · 667 · h-index 13

Impact in

Papers in

Thomas Blaffert

36 papers receiving 639 citations

Peers

Thomas Blaffert
Comparison fields: 5 of 66
  • Radiology, Nuclear Medicine and Imaging 293
  • Analytical Chemistry 98
  • Media Technology 85
  • Computer Vision and Pattern Recognition 186
  • Radiation 64
Replace Pablo G. Tahoces with:
Pablo G. Tahoces Spain
J. Hiller Australia
Maria Kallergi United States
Amit Chakraborty India
Na Qi China
Sundar C. Amartur United States
Wenqing Sun China
Feiyan Li China
B. Dolenko Canada
Teresa Laudadio Italy
Thomas Blaffert relative to Pablo G. Tahoces Spain Pablo G. Tahoces's profile →
Citations per field
00.5×10×12.8×
Pablo G. Tahoces · 1×
Citations per year

Countries citing papers authored by Thomas Blaffert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Blaffert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002140
2 200572
3 201163
4 198456
5 200545
6 200239
7 200533
8 198833
9 198624
10 198722
11 200418
12 201016
13 200715
14 198912
15 200411
16 200310
17 20088
18 20055
19 20115
20 19915

About Thomas Blaffert

Thomas Blaffert is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Spectroscopy and Biomedical Engineering, having authored 36 papers that have together received 667 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (14 papers), Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Analytical Chemistry and Chromatography (6 papers), Medical Image Segmentation Techniques (6 papers), Spectroscopy and Chemometric Analyses (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (293 citations), Analytical Chemistry (98 citations), Media Technology (85 citations), Computer Vision and Pattern Recognition (186 citations) and Radiation (64 citations). Thomas Blaffert has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Rafael Wiemker, Sabine Dippel, Martin Ståhl, P. Rogalla, Steffen Renisch, Thomas Bülow, Christian D. Lorenz, Peter J. Schoenmakers, Jens von Berg and Sven Kabus. Their work appears in journals such as Analytica Chimica Acta, Chromatographia, Journal of Chromatography A, IEEE Transactions on Medical Imaging and Medical Physics.

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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