Fred Nugen

3.3k total citations
10 papers, 174 citations indexed

About

Fred Nugen is a scholar working on Biomedical Engineering, Health Informatics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fred Nugen has authored 10 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Health Informatics and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fred Nugen's work include Artificial Intelligence in Healthcare and Education (4 papers), Medical Imaging and Analysis (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Fred Nugen is often cited by papers focused on Artificial Intelligence in Healthcare and Education (4 papers), Medical Imaging and Analysis (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Fred Nugen collaborates with scholars based in United States and Egypt. Fred Nugen's co-authors include Bradley J. Erickson, Bardia Khosravi, Pouria Rouzrokh, Mana Moassefi, Seyed Moein Rassoulinejad-Mousavi, Shahriar Faghani, Jaidip Jagtap, Yashbir Singh, Diana V. Vera-Garcia and Shiba Kuanar and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Experimental Eye Research and The Journal of Arthroplasty.

In The Last Decade

Fred Nugen

10 papers receiving 171 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fred Nugen United States	6	93	74	46	36	21	10	174
Diana V. Vera-Garcia United States	7	106 1.1×	97 1.3×	61 1.3×	57 1.6×	38 1.8×	12	252
Feyisope Eweje United States	6	138 1.5×	57 0.8×	71 1.5×	78 2.2×	28 1.3×	9	239
Prasanth Prasanna United States	9	160 1.7×	58 0.8×	61 1.3×	37 1.0×	17 0.8×	15	239
Krishna Nand Keshava Murthy United States	5	61 0.7×	47 0.6×	22 0.5×	35 1.0×	9 0.4×	10	134
Yaser Ali Alhazmi Saudi Arabia	8	81 0.9×	34 0.5×	22 0.5×	69 1.9×	8 0.4×	20	258
Cedric Bohyn Belgium	5	170 1.8×	186 2.5×	40 0.9×	78 2.2×	7 0.3×	10	278
Saad Khan United Kingdom	5	157 1.7×	50 0.7×	16 0.3×	37 1.0×	16 0.8×	7	263
Stephanie Sauer Germany	6	130 1.4×	85 1.1×	50 1.1×	56 1.6×	9 0.4×	24	201
Jinchi Wei United States	11	144 1.5×	99 1.3×	84 1.8×	55 1.5×	90 4.3×	22	316

Countries citing papers authored by Fred Nugen

Since Specialization

Citations

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

Fields of papers citing papers by Fred Nugen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Nugen

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Nugen. A scholar is included among the top collaborators of Fred Nugen 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 Fred Nugen. Fred Nugen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Wong, Karen K., Jia Lu, Jasen Kunz, et al.. (2024). Automated cooling tower detection through deep learning for Legionnaires’ disease outbreak investigations: a model development and validation study. The Lancet Digital Health. 6(7). e500–e506. 1 indexed citations

Nugen, Fred, et al.. (2024). Heterogenous thinning of peripapillary tissues occurs early during high myopia development in juvenile tree shrews. Experimental Eye Research. 240. 109824–109824. 4 indexed citations

Vera-Garcia, Diana V., Fred Nugen, Bardia Khosravi, et al.. (2023). An Overview of Machine Learning in Orthopedic Surgery: An Educational Paper. The Journal of Arthroplasty. 38(10). 1938–1942. 16 indexed citations

Nugen, Fred, et al.. (2023). Longitudinal Changes of Bruch's Membrane Opening, Anterior Scleral Canal Opening, and Border Tissue in Experimental Juvenile High Myopia. Investigative Ophthalmology & Visual Science. 64(4). 2–2. 4 indexed citations

Takahashi, Hiroaki, Fred Nugen, William R. Bamlet, et al.. (2023). Artificial intelligence assisted whole organ pancreatic fat estimation on magnetic resonance imaging and correlation with pancreas attenuation on computed tomography. Pancreatology. 23(5). 556–562. 11 indexed citations

Khosravi, Bardia, Alexander D. Weston, Fred Nugen, et al.. (2023). Demystifying Statistics and Machine Learning in Analysis of Structured Tabular Data. The Journal of Arthroplasty. 38(10). 1943–1947. 7 indexed citations

Nugen, Fred, Diana V. Vera-Garcia, Sunghwan Sohn, et al.. (2023). Application of Natural Language Processing in Total Joint Arthroplasty: Opportunities and Challenges. The Journal of Arthroplasty. 38(10). 1948–1953. 6 indexed citations

Vera-Garcia, Diana V., Fred Nugen, Bardia Khosravi, et al.. (2023). Educational Overview of the Concept and Application of Computer Vision in Arthroplasty. The Journal of Arthroplasty. 38(10). 1954–1958. 3 indexed citations

Faghani, Shahriar, Bardia Khosravi, Mana Moassefi, et al.. (2022). Mitigating Bias in Radiology Machine Learning: 3. Performance Metrics. Radiology Artificial Intelligence. 4(5). e220061–e220061. 63 indexed citations

10.

Khosravi, Bardia, Shahriar Faghani, Fred Nugen, et al.. (2022). Mitigating Bias in Radiology Machine Learning: 2. Model Development. Radiology Artificial Intelligence. 4(5). e220010–e220010. 59 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.

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