Pascal Bamford

543 citations
15 papers · 396 · h-index 8

Impact in

Papers in

Pascal Bamford

14 papers receiving 362 citations

Peers

Pascal Bamford
Comparison fields: 5 of 60
  • Biophysics 122
  • Computer Vision and Pattern Recognition 234
  • Artificial Intelligence 197
  • Media Technology 43
  • Cancer Research 65
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Citations per year

Countries citing papers authored by Pascal Bamford

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Bamford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Pascal Bamford, 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 Pascal Bamford Line = papers co-authored together Pascal Bamford links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1998170
2 201794
3
A Water Immersion Algorithm for Cytological Image Segmentation
199641
4
A One-Pass Extended Depth of Field Algorithm Based on the Over-Complete Discrete Wavelet Transform
200425
5 200416
6 200513
7 19989
8
Segmentation of Cell Images with Application to Cervical Cancer Screening
19998
9
Automating cell segmentation evaluation with annotated examples
20035
10 20024
11 19994
12
A methodology for quality control in cell nucleus segmentation
19993
13 20023
14
Method for Accurate Unsupervised Cell Nucleus Segmentation
20011
15 20020

About Pascal Bamford

Pascal Bamford is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Artificial Intelligence, Media Technology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 396 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), AI in cancer detection (8 papers), Medical Image Segmentation Techniques (8 papers), Image Processing Techniques and Applications (3 papers), Digital Imaging for Blood Diseases (2 papers), Cancer Genomics and Diagnostics (1 paper), Optical Coherence Tomography Applications (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Biophysics (122 citations), Computer Vision and Pattern Recognition (234 citations), Artificial Intelligence (197 citations), Media Technology (43 citations) and Cancer Research (65 citations). Pascal Bamford has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Brian C. Lovell, Andrew P. Bradley, Hebert Alberto Vargas, Mark Landers, Yipeng Wang, Ryon P. Graf, Nicole A. Schreiber, Martin Fleisher, Lyndsey Dugan and Adam Jendrisak. Their work appears in journals such as Signal Processing, Cancer Research, Defense Technical Information Center (DTIC), Queensland's institutional digital repository (The University of Queensland) and Explore Bristol Research.

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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