Mitchell M. Goodsitt

5.9k total citations
131 papers, 4.3k citations indexed

About

Mitchell M. Goodsitt is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Mitchell M. Goodsitt has authored 131 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Radiology, Nuclear Medicine and Imaging, 54 papers in Pulmonary and Respiratory Medicine and 41 papers in Artificial Intelligence. Recurrent topics in Mitchell M. Goodsitt's work include Digital Radiography and Breast Imaging (46 papers), Medical Imaging Techniques and Applications (44 papers) and AI in cancer detection (41 papers). Mitchell M. Goodsitt is often cited by papers focused on Digital Radiography and Breast Imaging (46 papers), Medical Imaging Techniques and Applications (44 papers) and AI in cancer detection (41 papers). Mitchell M. Goodsitt collaborates with scholars based in United States, South Korea and China. Mitchell M. Goodsitt's co-authors include Heang‐Ping Chan, Berkman Sahiner, Mark A. Helvie, Nicholas Petrick, Dorit D. Adler, Emmanuel Christodoulou, Sandra C. Larson, Lubomir M. Hadjiiski, Chuan Zhou and Paul L. Carson and has published in prestigious journals such as Ecology, Radiology and The Journal of the Acoustical Society of America.

In The Last Decade

Mitchell M. Goodsitt

126 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitchell M. Goodsitt United States 36 2.7k 1.5k 1.3k 1.2k 611 131 4.3k
Michael Pringle United Kingdom 9 2.0k 0.7× 919 0.6× 567 0.4× 989 0.8× 727 1.2× 9 3.8k
Andrew D. A. Maidment United States 38 2.7k 1.0× 1.4k 0.9× 1.5k 1.2× 2.7k 2.2× 308 0.5× 272 4.4k
Michael B. Gotway United States 41 2.1k 0.8× 1.5k 1.0× 437 0.3× 1.8k 1.5× 1.1k 1.8× 144 6.8k
Shigehiko Katsuragawa Japan 36 2.9k 1.1× 1.4k 0.9× 502 0.4× 1.8k 1.5× 768 1.3× 129 4.1k
Samuel Kadoury Canada 30 2.0k 0.7× 585 0.4× 1.3k 1.0× 892 0.7× 611 1.0× 163 4.4k
Chandra M. Sehgal United States 37 1.7k 0.6× 488 0.3× 2.1k 1.6× 762 0.6× 244 0.4× 165 4.6k
Anne L. Martel Canada 30 1.9k 0.7× 1.4k 0.9× 481 0.4× 717 0.6× 978 1.6× 132 4.0k
Ivana Išgum Netherlands 48 4.4k 1.6× 639 0.4× 2.5k 2.0× 1.6k 1.3× 1.3k 2.2× 196 7.5k
Andrew Karellas United States 33 2.1k 0.8× 760 0.5× 1.4k 1.1× 2.0k 1.6× 128 0.2× 143 3.9k
Joon Beom Seo South Korea 46 3.7k 1.4× 738 0.5× 1.6k 1.2× 4.8k 3.9× 317 0.5× 285 8.7k

Countries citing papers authored by Mitchell M. Goodsitt

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell M. Goodsitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell M. Goodsitt

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell M. Goodsitt. A scholar is included among the top collaborators of Mitchell M. Goodsitt 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 Mitchell M. Goodsitt. Mitchell M. Goodsitt 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.
Goodsitt, Mitchell M. & Andrew D. A. Maidment. (2025). Evolution of tomosynthesis. Journal of Medical Imaging. 12(S1). S13012–S13012.
2.
Goodsitt, Mitchell M., et al.. (2019). Deformable mapping using biomechanical models to relate corresponding lesions in digital breast tomosynthesis and automated breast ultrasound images. Medical Image Analysis. 60. 101599–101599. 4 indexed citations
3.
Jeffries, Deborah O., Colleen H. Neal, Mitra Noroozian, et al.. (2015). Surgical biopsy is still necessary for BI-RADS 4 calcifications found on digital mammography that are technically too faint for stereotactic core biopsy. Breast Cancer Research and Treatment. 154(3). 557–561. 3 indexed citations
4.
Jorgensen, Jennifer, Joel H. Rubenstein, Mitchell M. Goodsitt, & Grace H. Elta. (2010). Radiation doses to ERCP patients are significantly lower with experienced endoscopists. Gastrointestinal Endoscopy. 72(1). 58–65. 62 indexed citations
5.
Blane, Caroline E., et al.. (2009). New Compression Paddle for Wire Localization in Mammography. Academic Radiology. 17(2). 142–145. 6 indexed citations
6.
Sinha, Sumedha P., Mitchell M. Goodsitt, Marilyn A. Roubidoux, et al.. (2007). Automated Ultrasound Scanning on a Dual-Modality Breast Imaging System. Journal of Ultrasound in Medicine. 26(5). 645–655. 29 indexed citations
7.
Zhang, Yiheng, Heang‐Ping Chan, Berkman Sahiner, et al.. (2006). A comparative study of limited‐angle cone‐beam reconstruction methods for breast tomosynthesis. Medical Physics. 33(10). 3781–3795. 211 indexed citations
8.
Goodsitt, Mitchell M., et al.. (2006). Accuracy of the CT numbers of simulated lung nodules imaged with multi-detector CT scanners. Medical Physics. 33(8). 3006–3017. 36 indexed citations
9.
Chan, Heang‐Ping, Mitchell M. Goodsitt, Mark A. Helvie, et al.. (2005). ROC study of the effect of stereoscopic imaging on assessment of breast lesions. Medical Physics. 32(4). 1001–1009. 16 indexed citations
10.
Goodsitt, Mitchell M., Heang‐Ping Chan, Mark A. Helvie, et al.. (2004). An observer study comparing spot imaging regions selected by radiologists and a computer for an automated stereo spot mammography technique. Medical Physics. 31(6). 1558–1567. 1 indexed citations
11.
Blane, Caroline E., et al.. (2002). The effect of screening sonography on the positive rate of enemas for intussusception. Pediatric Radiology. 33(3). 190–193. 29 indexed citations
12.
Goodsitt, Mitchell M., Emmanuel Christodoulou, Sandra C. Larson, & Ella A. Kazerooni. (2001). Assessment of Calibration Methods for Estimating Bone Mineral Densities in Trauma Patients with Quantitative CT. Academic Radiology. 8(9). 822–834. 14 indexed citations
13.
Goodsitt, Mitchell M., Heang‐Ping Chan, & Lubomir M. Hadjiiski. (2000). Stereomammography: Evaluation of depth perception using a virtual 3D cursor. Medical Physics. 27(6). 1305–1310. 14 indexed citations
14.
Chan, Heang‐Ping, Berkman Sahiner, Kwok L. Lam, et al.. (1998). Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces. Medical Physics. 25(10). 2007–2019. 154 indexed citations
15.
Chan, Heang‐Ping, Berkman Sahiner, Nicholas Petrick, et al.. (1997). Computerized classification of malignant and benign microcalcifications on mammograms: texture analysis using an artificial neural network. Physics in Medicine and Biology. 42(3). 549–567. 96 indexed citations
16.
Sahiner, Berkman, Heang‐Ping Chan, Nicholas Petrick, et al.. (1996). Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images. IEEE Transactions on Medical Imaging. 15(5). 598–610. 308 indexed citations
17.
Korobkin, Melvyn, et al.. (1996). Delayed enhanced CT for differentiation of benign from malignant adrenal masses.. Radiology. 200(3). 737–742. 110 indexed citations
18.
Chan, Heang‐Ping, Mark A. Helvie, Berkman Sahiner, et al.. (1995). Classification of mass and normal breast tissue on digital mammograms: Multiresolution texture analysis. Medical Physics. 22(9). 1501–1513. 84 indexed citations
19.
Goodsitt, Mitchell M., Roger H. Johnson, & Charles H. Chesnut. (1991). A new set of calibration standards for estimating the fat and mineral content of vertebrae via dual energy QCT. Bone and Mineral. 13(3). 217–233. 13 indexed citations
20.
Mayo-Smith, William W., et al.. (1989). Intravertebral fat measurement with quantitative CT in patients with Cushing disease and anorexia nervosa.. Radiology. 170(3). 835–838. 34 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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