Laurens V. Ackerman

1.1k citations
33 papers · 822 · h-index 16

Impact in

Papers in

Laurens V. Ackerman

33 papers receiving 738 citations

Peers

Laurens V. Ackerman
Comparison fields: 5 of 100
  • Radiology, Nuclear Medicine and Imaging 292
  • Oral Surgery 85
  • Rheumatology 159
  • Pulmonary and Respiratory Medicine 290
  • Computer Vision and Pattern Recognition 194
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Alan Brett United Kingdom
Xiangrong Zhou Japan
Gwenael Guillard United Kingdom
Jifke F. Veenland Netherlands
Tatsuro Hayashi Japan
Marijn van Stralen Netherlands
Tobias Boskamp Germany
Elizabeth Guevara‐Gutiérrez Mexico
Willem Vreuls Netherlands
Jay Patel United States
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Citations per year

Countries citing papers authored by Laurens V. Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by Laurens V. Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurens V. Ackerman. 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 Laurens V. Ackerman. The network helps show where Laurens V. Ackerman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992105
2 199388
3 199184
4 199565
5 198053
6 197252
7 197945
8 197743
9 198643
10
Proliferating benign and malignant epithelial lesions of the oral cavity.
195829
11 198729
12 197327
13 198527
14 197624
15 197119
16 198519
17 19888
18 19928
19 19777
20 19827

About Laurens V. Ackerman

Laurens V. Ackerman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cancer Research, Computer Vision and Pattern Recognition and Oral Surgery, having authored 33 papers that have together received 822 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (8 papers), Radiology practices and education (7 papers), Medical Imaging Techniques and Applications (7 papers), AI in cancer detection (6 papers), Breast Cancer Treatment Studies (5 papers), Image Retrieval and Classification Techniques (4 papers), Breast Lesions and Carcinomas (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (292 citations), Oral Surgery (85 citations), Rheumatology (159 citations), Pulmonary and Respiratory Medicine (290 citations) and Computer Vision and Pattern Recognition (194 citations). Laurens V. Ackerman has collaborated with scholars based in United States and France. Frequent co-authors include Arthur Ardeshir Goshtasby, David Turner, Earl E. Gose, Michael Kyriakos, John L. Semmlow, L G Shapeero, D. Vanel, G Contesso, Dominique Valteau Couanet and Peter J. Feczko. Their work appears in journals such as Radiology, Cancer, Journal of Computer Assisted Tomography, Radiographics and IEEE Transactions on Medical Imaging.

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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