Peter Hufnagl

7.6k total citations
135 papers, 3.1k citations indexed

About

Peter Hufnagl is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Peter Hufnagl has authored 135 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 30 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Cancer Research. Recurrent topics in Peter Hufnagl's work include AI in cancer detection (35 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Blood Coagulation and Thrombosis Mechanisms (13 papers). Peter Hufnagl is often cited by papers focused on AI in cancer detection (35 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Blood Coagulation and Thrombosis Mechanisms (13 papers). Peter Hufnagl collaborates with scholars based in Germany, Austria and United States. Peter Hufnagl's co-authors include Bernd R. Binder, Johann Wojta, Norman Zerbe, Olaf Hellwich, Harshita Sharma, Manfred Dietel, Weijian Zhang, Stephan Wienert, Frederick Klauschen and Kai Saeger and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Peter Hufnagl

129 papers receiving 3.0k citations

Peers

Peter Hufnagl
Comparison fields: 5 of 153
  • Artificial Intelligence 701
  • Molecular Biology 641
  • Radiology, Nuclear Medicine and Imaging 467
  • Cancer Research 456
  • Immunology and Allergy 371
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Citations per field, relative to Peter Hufnagl
Peter Hufnagl · 1×
Citations per year, relative to Peter Hufnagl
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Countries citing papers authored by Peter Hufnagl

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hufnagl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Hufnagl

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Hufnagl. A scholar is included among the top collaborators of Peter Hufnagl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Hufnagl. Peter Hufnagl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 6
4 4
5 0
6 23
7 6
8 1
9 44
10 31
11
Das UICC-Telepathologie-Konsultationszentrum “Second opinion”über Internet für Pathologen
1
12 30
13 5
14 6
15 56
16 0
17
[AgNOR analysis of astrocytoma in childhood].
1
18
Automated grading in breast cancer by image analysis of histological sections
1
19 21
20
Karyometric data by image analysis and their use in pathology
1

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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