Peter Bult

126 papers receiving 8.8k citations

Peter Bult's Hit Papers

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge 2018 · 418 citations
4180+3+6Years since publication5001k1.5k2k2.5k

Peers

Peter Bult
Comparison fields: 5 of 148
  • Health Informatics 529
  • Cancer Research 1.4k
  • Artificial Intelligence 3.4k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Pathology and Forensic Medicine 657
Replace Navneet Narula with:
Navneet Narula United States
Andrew H. Beck United States
Lianghong Zheng China
Daisuke Komura Japan
Alexander Marx Germany
Long P. Le United States
Kurt Alex Schalper United States
Carola Berking Germany
Johan Bussink Netherlands
Clare L. Verrill United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Peter Bult

Since Specialization
Citations

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

Fields of papers citing papers by Peter Bult

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Hit paper breakdown →
20172514
2
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Hit paper breakdown →
2016876
3
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
Hit paper breakdown →
2018418
4 2009414
5 2018304
6 2020279
7 2001254
8
Three dimensional imaging of mammary ductal carcinoma in situ: clinical implications.
1994220
9 2010190
10 2012187
11 2009176
12 2017156
13 2002110
14 2019103
15 2004101
16 201995
17 200694
18 200892
19 201189
20 201786

About Peter Bult

Peter Bult is a scholar working on Cancer Research, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 132 papers that have together received 9.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (40 papers), Breast Lesions and Carcinomas (24 papers), MRI in cancer diagnosis (23 papers), AI in cancer detection (15 papers), Digital Radiography and Breast Imaging (10 papers), BRCA gene mutations in cancer (6 papers), Breast Implant and Reconstruction (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Health Informatics (529 citations), Cancer Research (1.4k citations), Artificial Intelligence (3.4k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Pathology and Forensic Medicine (657 citations). Peter Bult has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Jeroen A. W. M. van der Laak, Geert J. S. Litjens, Vivianne C. G. Tjan‐Heijnen, Meyke Hermsen, Carla Boetes, Theo Wobbes, P. J. van Diest, Bram van Ginneken, Maaike de Boer and Ritse M. Mann. Their work appears in journals such as Breast Cancer Research and Treatment, European Radiology, European Journal of Surgical Oncology, Cellular Oncology and JNCI Journal of the National Cancer Institute.

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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