Dirk Padfield

747 citations
34 papers · 476 · h-index 10

Impact in

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

Papers in

Dirk Padfield

32 papers receiving 454 citations

Peers

Dirk Padfield
Comparison fields: 5 of 84
  • Biophysics 244
  • Media Technology 100
  • Computer Vision and Pattern Recognition 221
  • Structural Biology 6
  • Artificial Intelligence 129
Replace Cher-Keng Heng with:
Cher-Keng Heng China
Oren Kraus Canada
Pinky A. Bautista United States
Tomasz Macura United States
Saurav Basu United States
Amit Suveer Sweden
Baris Sumengen United States
Nikita Moshkov Hungary
Seungil Huh United States
Ahmed Fakhry United States
Dirk Padfield relative to Cher-Keng Heng China Cher-Keng Heng's profile →
Citations per field
00.5×7.2×
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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200899
2 201097
3 201143
4 200839
5 200831
6 202127
7 200922
8 200619
9 201010
10 201510
11 20128
12 20108
13 20038
14 20136
15 20136
16 20226
17 20105
18 20115
19 20214
20 20053

About Dirk Padfield

Dirk Padfield is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Artificial Intelligence, Molecular Biology and Media Technology, having authored 34 papers that have together received 476 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (13 papers), Medical Image Segmentation Techniques (8 papers), Image Processing Techniques and Applications (6 papers), AI in cancer detection (6 papers), Advanced Vision and Imaging (6 papers), Single-cell and spatial transcriptomics (5 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 (244 citations), Media Technology (100 citations), Computer Vision and Pattern Recognition (221 citations), Structural Biology (6 citations) and Artificial Intelligence (129 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, H. E. Cline, Manasi Datar, Katrin Tomanek, Fadi Biadsy, Thomas Sebastian, Alberto Santamaría-Pang and Dashan Gao. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Image Processing, Circulation, 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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