Robert M. Nishikawa

8.5k total citations · 1 hit paper
230 papers, 5.9k citations indexed

About

Robert M. Nishikawa is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Robert M. Nishikawa has authored 230 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Artificial Intelligence, 128 papers in Radiology, Nuclear Medicine and Imaging and 94 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Robert M. Nishikawa's work include AI in cancer detection (153 papers), Digital Radiography and Breast Imaging (90 papers) and Radiomics and Machine Learning in Medical Imaging (72 papers). Robert M. Nishikawa is often cited by papers focused on AI in cancer detection (153 papers), Digital Radiography and Breast Imaging (90 papers) and Radiomics and Machine Learning in Medical Imaging (72 papers). Robert M. Nishikawa collaborates with scholars based in United States, Canada and United Kingdom. Robert M. Nishikawa's co-authors include Maryellen L. Giger, Yulei Jiang, Kunio Doi, Charles E. Metz, Robert A. Schmidt, Ingrid Reiser, Yongyi Yang, Martin J. Yaffe, I. El-Naqa and Liyang Wei and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and IEEE Access.

In The Last Decade

Robert M. Nishikawa

221 papers receiving 5.6k 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.

Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis

2023 85 citations Jung Hyun Yoon, Fredrik Strand et al. Radiology profile →

Peers

Countries citing papers authored by Robert M. Nishikawa

Since Specialization

Citations

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

Fields of papers citing papers by Robert M. Nishikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Nishikawa. 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 Robert M. Nishikawa. The network helps show where Robert M. Nishikawa may publish in the future.

Co-authorship network of co-authors of Robert M. Nishikawa

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Reflection through interaction with digital twin AI in the Human-AI-Collaboration SECI Model 2024 ·Procedia Computer Science ·(unknown), Robert M. Nishikawa, (unknown)	1
2	Breast Cancer Screening Interval: Effect on Rate of Late-Stage Disease at Diagnosis and Overall Survival 2024 ·Journal of Clinical Oncology ·Margarita L. Zuley, Andriy I. Bandos, Stephen W. Duffy, (unknown), Rohit Bhargava, Priscilla F. McAuliffe, Adam Brufsky, Robert M. Nishikawa	3
3	Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis breakdown → 2023 ·Radiology ·Jung Hyun Yoon, Fredrik Strand, Pascal Baltzer, Emily F. Conant, Fiona J. Gilbert, Constance D. Lehman, Elizabeth A. Morris, Lisa A. Mullen, Robert M. Nishikawa, Nisha Sharma, Ilse Vejborg, Linda Moy, Ritse M. Mann	85
4	Improving the accuracy in detection of clustered microcalcifications with a context-sensitive classification model 2015 ·Medical Physics ·Juan Wang, Robert M. Nishikawa, Yongyi Yang	18
5	Using breast radiographers' reports as a second opinion for radiologists' readings of microcalcifications in digital mammography 2014 ·British Journal of Radiology ·Rie Tanaka, (unknown), (unknown), Robert M. Nishikawa, Junji Shiraishi	2
6	Comparison of power spectra for tomosynthesis projections and reconstructed images 2009 ·Medical Physics ·Emma Engström, Ingrid Reiser, Robert M. Nishikawa	52
7	3. Production of the Mammogram 2009 ·Journal of the ICRU ·Martin J. Yaffe, (unknown), (unknown), Roberta A. Jong, Robert M. Nishikawa, M. J. Tapiovaara, K. C. Young	0
8	Mammography – Assessment of Image Quality 2009 ·Journal of the ICRU ·Martin J. Yaffe, (unknown), (unknown), Roberta A. Jong, Robert M. Nishikawa, M. J. Tapiovaara, K. C. Young	2
9	Computerized mass detection for digital breast tomosynthesis directly from the projection images 2006 ·Medical Physics ·Ingrid Reiser, Robert M. Nishikawa, Maryellen L. Giger, (unknown), Elizabeth A. Rafferty, Richard H. Moore, Daniel B. Kopans	69
10	Identification of simulated microcalcifications in white noise and mammographic backgrounds 2006 ·Medical Physics ·Ingrid Reiser, Robert M. Nishikawa	23
11	The hypervolume under the ROC hypersurface of "Near-Guessing" and "Near-Perfect" observers in N-class classification tasks 2005 ·IEEE Transactions on Medical Imaging ·Darrin C. Edwards, Charles E. Metz, Robert M. Nishikawa	31
12	Investigation of physical image quality indices of a bone densitometry system 2004 ·Medical Physics ·(unknown), Maryellen L. Giger, (unknown), Tamara Vokes, Robert M. Nishikawa, (unknown)	7
13	Enhanced Sensitivity for Acquisition in Weak Signal Environments Through the Use of Extended Dwell Times 2001 ·Proceedings of the 14th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2001) ·(unknown), Robert M. Nishikawa, (unknown), (unknown)	8
14	Dependence of computer classification of clustered microcalcifications on the correct detection of microcalcifications 2001 ·Medical Physics ·Yulei Jiang, Robert M. Nishikawa, John Papaioannou	10
15	COMPUTER-AIDED DETECTION AND DIAGNOSIS OF BREAST CANCER 2000 ·Radiologic Clinics of North America ·Carl J. Vyborny, Maryellen L. Giger, Robert M. Nishikawa	71
16	Computer-aided diagnosis in radiology: potential and pitfalls 1999 ·European Journal of Radiology ·Kunio Doi, Heber MacMahon, Shigehiko Katsuragawa, Robert M. Nishikawa, Yulei Jiang	162
17	An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms 1996 ·Academic Radiology ·Hiroyuki Yoshida, Kunio Doi, Robert M. Nishikawa, Maryellen L. Giger, Robert A. Schmidt	68
18	Potential usefulness of digital imaging in clinical diagnostic radiology: Computer-aided diagnosis 1995 ·Journal of Digital Imaging ·Kunio Doi, Maryellen L. Giger, Robert M. Nishikawa, Kenneth R. Hoffmann, Heber MacMahon, Robert A. Schmidt	10
19	An "intelligent" workstation for computer-aided diagnosis. 1993 ·Radiographics ·Maryellen L. Giger, Kazuteru Doi, Heber MacMahon, Robert M. Nishikawa, Kenneth R. Hoffmann, Carl J. Vyborny, Robert A. Schmidt, (unknown), Kazuya Abe, (unknown)	36
20	Scanned‐projection digital mammography 1987 ·Medical Physics ·Robert M. Nishikawa, Gordon E. Mawdsley, Aaron Fenster, Martin J. Yaffe	69

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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