Dirk Padfield

753 citations
38 papers · 534 · h-index 11

Impact in

  • Biophysics top 1%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Image Processing Techniques and Applications

Papers in

Dirk Padfield

37 papers receiving 510 citations

Peers

Dirk Padfield
Comparison fields: 5 of 84
  • Biophysics 256
  • Media Technology 112
  • Computer Vision and Pattern Recognition 236
  • Structural Biology 6
  • Artificial Intelligence 137
Replace Cher-Keng Heng with:
Cher-Keng Heng China
Oren Kraus Canada
Seungil Huh United States
Tomasz Macura United States
Nikita Moshkov Hungary
Saurav Basu United States
Nikita Orlov United States
Mary M. Maleckar Norway
Sumit K. Nath United States
Amit Suveer Sweden
Dirk Padfield relative to Cher-Keng Heng China Cher-Keng Heng's profile →
Citations per field
00.5×
Cher-Keng Heng · 1×
Citations per year

Countries citing papers authored by Dirk Padfield

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Padfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010109
2 2008104
3 201145
4 200841
5 200834
6 202128
7 200924
8 200623
9 201012
10 201512
11 200411
12 20129
13 20109
14 20038
15 20227
16 20136
17 20136
18 20105
19 20215
20 20115

About Dirk Padfield

Dirk Padfield is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Artificial Intelligence, Media Technology and Molecular Biology, having authored 38 papers that have together received 534 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (16 papers), Medical Image Segmentation Techniques (10 papers), Image Processing Techniques and Applications (8 papers), Advanced Vision and Imaging (8 papers), Single-cell and spatial transcriptomics (6 papers), AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Biophysics (256 citations), Media Technology (112 citations), Computer Vision and Pattern Recognition (236 citations), Structural Biology (6 citations) and Artificial Intelligence (137 citations). Dirk Padfield has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Jens Rittscher, Badrinath Roysam, Nick Thomas, Manasi Datar, H. E. Cline, Fadi Biadsy, Paulo R. S. Mendonça, Katrin Tomanek, Thomas Sebastian and William E. Higgins. Their work appears in journals such as Medical Image Analysis, Circulation, IEEE Transactions on Image Processing, Lecture notes in computer science and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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