Daniela Pfeiffer

3.0k citations
116 papers · 1.9k · 1 hit paper · h-index 26

Impact in

    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • COVID-19 diagnosis using AI
    • Radiation Dose and Imaging
  • Radiation top 2%
    • Advanced X-ray Imaging Techniques

Papers in

Daniela Pfeiffer

107 papers receiving 1.9k citations

Daniela Pfeiffer's Hit Papers

Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization 2019 · 266 citations
2660+2+4Years since publication50100150200250

Peers

Daniela Pfeiffer
Comparison fields: 5 of 117
  • Radiology, Nuclear Medicine and Imaging 897
  • Radiation 284
  • Health Informatics 33
  • Biomedical Engineering 737
  • Pulmonary and Respiratory Medicine 281
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Daniela Pfeiffer relative to Kai Yang United States Kai Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Pfeiffer

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pfeiffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization
Hit paper breakdown →
2019266
2 201989
3 201968
4 202162
5 201962
6 201862
7 201958
8 202154
9 201845
10 201840
11 201936
12 202234
13 202033
14 202032
15 201931
16 201831
17 201831
18 202030
19 202129
20 201829

About Daniela Pfeiffer

Daniela Pfeiffer is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine and Surgery, having authored 116 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (55 papers), Medical Imaging Techniques and Applications (30 papers), Advanced X-ray Imaging Techniques (24 papers), Radiation Dose and Imaging (18 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Nuclear Physics and Applications (8 papers), COVID-19 diagnosis using AI (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (897 citations), Radiation (284 citations), Health Informatics (33 citations), Biomedical Engineering (737 citations) and Pulmonary and Respiratory Medicine (281 citations). Daniela Pfeiffer has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Franz Pfeiffer, Ernst J. Rummeny, Daniel Cremers, Vladimir Golkov, Alexander A. Fingerle, Peter B. Noël, Andreas Sauter, Alexandra S. Gersing, Benedikt J. Schwaiger and Felix K. Kopp. Their work appears in journals such as Scientific Reports, European Radiology Experimental, European Radiology, PLoS ONE and European Journal of Radiology.

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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