Richard J. Lederman

2.6k total citations
59 papers, 1.6k citations indexed

About

Richard J. Lederman is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Rehabilitation. According to data from OpenAlex, Richard J. Lederman has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Neurology and 16 papers in Rehabilitation. Recurrent topics in Richard J. Lederman's work include Musicians’ Health and Performance (16 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Peripheral Nerve Disorders (8 papers). Richard J. Lederman is often cited by papers focused on Musicians’ Health and Performance (16 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Peripheral Nerve Disorders (8 papers). Richard J. Lederman collaborates with scholars based in United States and Israel. Richard J. Lederman's co-authors include Stephan Schuele, Asa J. Wilbourn, David Vogt, William D. Carey, Thomas A. Broughan, Anthony C. Breuer, Maurice R. Hanson, Anthony J. Furlan, Hans‐Christian Jabusch and Eckart Altenmüller and has published in prestigious journals such as New England Journal of Medicine, JAMA and Annals of Internal Medicine.

In The Last Decade

Richard J. Lederman

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard J. Lederman United States 22 452 386 283 235 225 59 1.6k
Martin A. Samuels United States 17 591 1.3× 276 0.7× 121 0.4× 239 1.0× 194 0.9× 55 1.9k
Sabine Fitzek Germany 18 368 0.8× 153 0.4× 105 0.4× 236 1.0× 188 0.8× 40 1.3k
Maren L. Mahowald United States 25 279 0.6× 350 0.9× 97 0.3× 160 0.7× 113 0.5× 65 1.9k
Udo Zifko Austria 22 581 1.3× 236 0.6× 140 0.5× 253 1.1× 75 0.3× 55 1.4k
Massimiliano Mangone Italy 26 302 0.7× 596 1.5× 251 0.9× 272 1.2× 144 0.6× 108 1.9k
Barry S. Russman United States 31 817 1.8× 543 1.4× 248 0.9× 763 3.2× 99 0.4× 74 2.5k
Jun Lee South Korea 20 365 0.8× 159 0.4× 267 0.9× 154 0.7× 309 1.4× 71 1.6k
Frank Spaans Netherlands 30 645 1.4× 1.2k 3.2× 155 0.5× 251 1.1× 897 4.0× 65 3.1k
J. Gordon Boyd Canada 22 266 0.6× 659 1.7× 130 0.5× 86 0.4× 195 0.9× 75 2.8k
Alessandra Borgheresi Italy 24 326 0.7× 171 0.4× 109 0.4× 137 0.6× 643 2.9× 89 2.0k

Countries citing papers authored by Richard J. Lederman

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. Lederman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Lederman. 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 Richard J. Lederman. The network helps show where Richard J. Lederman may publish in the future.

Co-authorship network of co-authors of Richard J. Lederman

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

All Works

20 of 20 papers shown
1.
2.
Lederman, Richard J., et al.. (2024). A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging. Medical Image Analysis. 97. 103268–103268.
3.
Joskowicz, Leo, et al.. (2023). Follow-up of liver metastases: a comparison of deep learning and RECIST 1.1. European Radiology. 33(12). 9320–9327. 11 indexed citations
4.
Szeskin, Adi, et al.. (2023). Graph-based automatic detection and classification of lesion changes in pairs of CT studies for oncology follow-up. International Journal of Computer Assisted Radiology and Surgery. 19(2). 241–251. 4 indexed citations
5.
Leichter, Isaac, et al.. (2022). Quantitative assessment of renal obstruction in multi-phase CTU using automatic 3D segmentation of the renal parenchyma and renal pelvis: A proof of concept. European Journal of Radiology Open. 9. 100458–100458. 2 indexed citations
6.
Szeskin, Adi, et al.. (2022). Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net. Medical Image Analysis. 83. 102675–102675. 15 indexed citations
7.
Lederman, Richard J., et al.. (2021). A novel method for estimating the urine drainage time from the renal collecting system. Abdominal Radiology. 46(6). 2647–2655. 1 indexed citations
8.
Lederman, Richard J.. (2006). Focal Peripheral Neuropathies in Instrumental Musicians. Physical Medicine and Rehabilitation Clinics of North America. 17(4). 761–779. 13 indexed citations
9.
Schuele, Stephan & Richard J. Lederman. (2004). Long‐term outcome of focal dystonia in string instrumentalists. Movement Disorders. 19(1). 43–48. 55 indexed citations
10.
Lederman, Richard J.. (2003). Neuromuscular and musculoskeletal problems in instrumental musicians. Muscle & Nerve. 27(5). 549–561. 117 indexed citations
11.
Lederman, Richard J.. (2002). Neuromuscular Problems in Musicians. The Neurologist. 8(3). 163–174. 16 indexed citations
12.
Leichter, Isaac, et al.. (2000). Quantitative Characterization of Mass Lesions on Digitized Mammograms for Computer-Assisted Diagnosis. Investigative Radiology. 35(6). 366–372. 17 indexed citations
13.
Leichter, Isaac, et al.. (2000). Optimizing parameters for computer-aided diagnosis of microcalcifications at mammography. Academic Radiology. 7(6). 406–412. 26 indexed citations
14.
Leichter, Isaac, et al.. (1999). The Use of an Interactive Software Program for Quantitative Characterization of Microcalcifications on Digitized Film-Screen Mammograms. Investigative Radiology. 34(6). 394–394. 8 indexed citations
15.
Buchbinder, Shalom, et al.. (1998). Analysis of clustered microcalcifications by using a single numeric classifier extracted from mammographic digital images. Academic Radiology. 5(11). 779–784. 11 indexed citations
16.
Lederman, Richard J. & Asa J. Wilbourn. (1996). Postpartum neuralgic amyotrophy. Neurology. 47(5). 1213–1219. 21 indexed citations
17.
Lederman, Richard J.. (1994). AAEM minimonograph #43: Neuromuscular problems in the performing arts. Muscle & Nerve. 17(6). 569–577. 29 indexed citations
18.
Stein, Daniel P., Richard J. Lederman, David Vogt, William D. Carey, & Thomas A. Broughan. (1992). Neurological complications following liver transplantation. Annals of Neurology. 31(6). 644–649. 97 indexed citations
19.
Vogt, David, Richard J. Lederman, William D. Carey, & Thomas A. Broughan. (1988). NEUROLOGIC COMPLICATIONS OF LIVER TRANSPLANTATION. Transplantation. 45(6). 1057–1061. 101 indexed citations
20.
Pillay, Prem K., Russell W. Hardy, Asa J. Wilbourn, Raymond R. Tubbs, & Richard J. Lederman. (1988). Solitary Primary Lymphoma of the Sciatic Nerve: Case Report. Neurosurgery. 23(3). 370–371. 43 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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