Niels Olson

1.6k total citations · 1 hit paper
9 papers, 734 citations indexed

About

Niels Olson is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Niels Olson has authored 9 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Niels Olson's work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Digital Imaging in Medicine (1 paper). Niels Olson is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Digital Imaging in Medicine (1 paper). Niels Olson collaborates with scholars based in United States, Austria and Canada. Niels Olson's co-authors include Lily H. Peng, Yun Liu, Arash Mohtashamian, Martin C. Stumpe, Jenny L. Smith, Jason Hipp, Timo Kohlberger, Mohammad Norouzi, George E. Dahl and Po-Hsuan Cameron Chen and has published in prestigious journals such as Scientific Reports, SLEEP and Archives of Pathology & Laboratory Medicine.

In The Last Decade

Niels Olson

9 papers receiving 712 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

2019 302 citations Kunal Nagpal, Davis Foote et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Niels Olson United States	6	467	370	137	132	99	9	734
Lily H. Peng United States	6	446 1.0×	376 1.0×	129 0.9×	134 1.0×	96 1.0×	6	689
Arash Mohtashamian United States	4	386 0.8×	312 0.8×	118 0.9×	120 0.9×	87 0.9×	11	567
Kunal Nagpal United States	5	345 0.7×	258 0.7×	113 0.8×	108 0.8×	109 1.1×	10	592
Norman Zerbe Germany	12	501 1.1×	314 0.8×	103 0.8×	88 0.7×	194 2.0×	34	780
Judy J. Wang United States	6	386 0.8×	278 0.8×	187 1.4×	42 0.3×	96 1.0×	13	779
Harshita Sharma United Kingdom	17	487 1.0×	344 0.9×	108 0.8×	91 0.7×	262 2.6×	56	905
Sharifa Sahai United States	2	299 0.6×	213 0.6×	141 1.0×	33 0.3×	76 0.8×	3	585
Esther Abels United States	9	314 0.7×	227 0.6×	69 0.5×	40 0.3×	76 0.8×	12	582
Tal Schuster United States	9	732 1.6×	493 1.3×	174 1.3×	225 1.7×	75 0.8×	17	982
Gregory Patrick Veldhuizen Germany	11	349 0.7×	292 0.8×	350 2.6×	55 0.4×	31 0.3×	24	784

Countries citing papers authored by Niels Olson

Since Specialization

Citations

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

Fields of papers citing papers by Niels Olson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niels Olson

This figure shows the co-authorship network connecting the top 25 collaborators of Niels Olson. A scholar is included among the top collaborators of Niels Olson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Niels Olson. Niels Olson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Shattuck, Nita Lewis, et al.. (2024). 0180 Crew Sleep During a 36-day Arctic Transit: Preliminary Results. SLEEP. 47(Supplement_1). A77–A78. 1 indexed citations

2.

Conroy, Bryan, Golbarg Mehraei, Robert Damiano, et al.. (2022). Real-time infection prediction with wearable physiological monitoring and AI to aid military workforce readiness during COVID-19. Scientific Reports. 12(1). 3797–3797. 33 indexed citations

3.

Thompson, Elaine E., Jared Dunnmon, Arash Mohtashamian, et al.. (2022). Independent assessment of a deep learning system for lymph node metastasis detection on the Augmented Reality Microscope. Journal of Pathology Informatics. 13. 100142–100142. 2 indexed citations

4.

Gamble, Paul, Ronnachai Jaroensri, Hongwu Wang, et al.. (2021). Determining breast cancer biomarker status and associated morphological features using deep learning. Communications Medicine. 1(1). 14–14. 86 indexed citations

5.

Harrison, James H., John R. Gilbertson, Matthew G. Hanna, et al.. (2021). Introduction to Artificial Intelligence and Machine Learning for Pathology. Archives of Pathology & Laboratory Medicine. 145(10). 1228–1254. 45 indexed citations

6.

Olson, Niels, et al.. (2021). Accelerated Progression of Disseminated Coccidioidomycosis Following SARS-CoV-2 Infection: A Case Report. Military Medicine. 186(11-12). 1254–1256. 17 indexed citations

7.

Nagpal, Kunal, Davis Foote, Yun Liu, et al.. (2019). Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. npj Digital Medicine. 2(1). 48–48. 302 indexed citations breakdown →

8.

Liu, Yun, Timo Kohlberger, Mohammad Norouzi, et al.. (2018). Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists. Archives of Pathology & Laboratory Medicine. 143(7). 859–868. 246 indexed citations

9.

Olson, Niels, et al.. (2018). SlideSeg: a Python module for the creation of annotated image repositories from whole slide images. 7. 47–47. 2 indexed citations

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.

Explore authors with similar magnitude of impact