Gordon S. Abrams

957 total citations
17 papers, 748 citations indexed

About

Gordon S. Abrams is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gordon S. Abrams has authored 17 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gordon S. Abrams's work include AI in cancer detection (14 papers), Digital Radiography and Breast Imaging (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Gordon S. Abrams is often cited by papers focused on AI in cancer detection (14 papers), Digital Radiography and Breast Imaging (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Gordon S. Abrams collaborates with scholars based in United States. Gordon S. Abrams's co-authors include David Gur, Christiane M. Hakim, Marie A. Ganott, Jules H. Sumkin, Denise M. Chough, Andriy I. Bandos, Margarita L. Zuley, Ronald L. Perrin, Victor J. Catullo and Bin Zheng and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Medical Physics.

In The Last Decade

Gordon S. Abrams

17 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gordon S. Abrams United States 13 506 504 433 165 107 17 748
Amy Lu United States 10 491 1.0× 436 0.9× 393 0.9× 132 0.8× 79 0.7× 21 724
Luisa P. Wallace United States 12 645 1.3× 508 1.0× 488 1.1× 337 2.0× 77 0.7× 19 907
Sujata V. Ghate United States 17 402 0.8× 253 0.5× 521 1.2× 137 0.8× 90 0.8× 38 858
Ratan Shah United States 9 532 1.1× 412 0.8× 411 0.9× 285 1.7× 75 0.7× 16 772
John Papaioannou United States 16 505 1.0× 223 0.4× 446 1.0× 119 0.7× 39 0.4× 40 690
Denise M. Chough United States 14 989 2.0× 1.1k 2.1× 878 2.0× 289 1.8× 204 1.9× 22 1.4k
Judy Dean United States 4 371 0.7× 253 0.5× 226 0.5× 168 1.0× 46 0.4× 8 561
Kathryn F. O′Shaughnessy United States 11 815 1.6× 355 0.7× 466 1.1× 426 2.6× 48 0.4× 11 1.3k
Vittorio Didonna Italy 17 419 0.8× 138 0.3× 520 1.2× 89 0.5× 108 1.0× 33 726
Madhavi Raghu United States 8 511 1.0× 539 1.1× 375 0.9× 221 1.3× 85 0.8× 13 740

Countries citing papers authored by Gordon S. Abrams

Since Specialization
Citations

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

Fields of papers citing papers by Gordon S. Abrams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon S. Abrams. 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 Gordon S. Abrams. The network helps show where Gordon S. Abrams may publish in the future.

Co-authorship network of co-authors of Gordon S. Abrams

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

All Works

17 of 17 papers shown
1.
Berg, Wendie A., et al.. (2021). Impact of Original and Artificially Improved Artificial Intelligence–based Computer-aided Diagnosis on Breast US Interpretation. Journal of Breast Imaging. 3(3). 301–311. 20 indexed citations
2.
Zuley, Margarita L., Andriy I. Bandos, Gordon S. Abrams, et al.. (2019). Contrast Enhanced Digital Mammography (CEDM) Helps to Safely Reduce Benign Breast Biopsies for Low to Moderately Suspicious Soft Tissue Lesions. Academic Radiology. 27(7). 969–976. 25 indexed citations
3.
Ganott, Marie A., Margarita L. Zuley, Gordon S. Abrams, et al.. (2014). Ultrasound Guided Core Biopsy versus Fine Needle Aspiration for Evaluation of Axillary Lymphadenopathy in Patients with Breast Cancer. ISRN Oncology. 2014. 1–9. 44 indexed citations
4.
Zuley, Margarita L., Andriy I. Bandos, Gordon S. Abrams, et al.. (2009). Time to Diagnosis and Performance Levels during Repeat Interpretations of Digital Breast Tomosynthesis. Academic Radiology. 17(4). 450–455. 45 indexed citations
5.
Gur, David, Gordon S. Abrams, Denise M. Chough, et al.. (2009). Digital Breast Tomosynthesis: Observer Performance Study. American Journal of Roentgenology. 193(2). 586–591. 283 indexed citations
6.
Zheng, Bin, Margarita L. Zuley, Jules H. Sumkin, et al.. (2008). Detection of breast abnormalities using a prototype resonance electrical impedance spectroscopy system: A preliminary study. Medical Physics. 35(7Part1). 3041–3048. 11 indexed citations
7.
Good, Walter F., Gordon S. Abrams, Victor J. Catullo, et al.. (2008). Digital Breast Tomosynthesis: A Pilot Observer Study. American Journal of Roentgenology. 190(4). 865–869. 115 indexed citations
8.
Zheng, Bin, Claudia Mello‐Thoms, Xiaohui Wang, et al.. (2007). Interactive Computer-Aided Diagnosis of Breast Masses: Computerized Selection of Visually Similar Image Sets From a Reference Library. Academic Radiology. 14(8). 917–927. 36 indexed citations
9.
Zheng, Bin, Gordon S. Abrams, Lara A. Hardesty, et al.. (2007). Mass margins spiculations: agreement between ratings by observers and a computer scheme. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6514. 65141P–65141P. 7 indexed citations
10.
Zheng, Bin, Gordon S. Abrams, Cynthia A. Britton, et al.. (2007). Evaluation of an interactive computer-aided diagnosis (ICAD) system for mammography: a pilot study. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6515. 65151M–65151M. 8 indexed citations
11.
Zheng, Bin, Joseph K. Leader, Gordon S. Abrams, et al.. (2006). Multiview-based computer-aided detection scheme for breast masses. Medical Physics. 33(9). 3135–3143. 59 indexed citations
12.
Mello‐Thoms, Claudia, Cynthia A. Britton, Gordon S. Abrams, et al.. (2006). Head-mounted versus Remote Eye Tracking of Radiologists Searching for Breast Cancer. Academic Radiology. 13(2). 203–209. 14 indexed citations
13.
Zheng, Bin, Denise M. Chough, Cathy S. Cohen, et al.. (2006). Actual versus intended use of CAD systems in the clinical environment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6146. 614602–614602. 12 indexed citations
14.
Gur, David, Luisa P. Wallace, Amy H. Klym, et al.. (2005). Trends in Recall, Biopsy, and Positive Biopsy Rates for Screening Mammography in an Academic Practice. Radiology. 235(2). 396–401. 32 indexed citations
15.
Zheng, Bin, Glenn S. Maitz, Marie A. Ganott, et al.. (2005). Performance and Reproducibility of a Computerized Mass Detection Scheme for Digitized Mammography Using Rotated and Resampled Images: An Assessment. American Journal of Roentgenology. 185(1). 194–198. 1 indexed citations
16.
Zheng, Bin, Joseph K. Leader, Gordon S. Abrams, et al.. (2004). Computer-Aided Detection Schemes: The Effect of Limiting the Number of Cued Regions in Each Case. American Journal of Roentgenology. 182(3). 579–583. 24 indexed citations
17.
Abrams, Gordon S., et al.. (1997). Testicular epidermoid cysts in prepubertal children: case report and review of the world literature. Journal of Pediatric Surgery. 32(12). 1786–1789. 12 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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