Caroline Rubin

754 total citations
28 papers, 376 citations indexed

About

Caroline Rubin is a scholar working on Pathology and Forensic Medicine, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Caroline Rubin has authored 28 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 8 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Caroline Rubin's work include AI in cancer detection (8 papers), Breast Lesions and Carcinomas (8 papers) and Medical Image Segmentation Techniques (6 papers). Caroline Rubin is often cited by papers focused on AI in cancer detection (8 papers), Breast Lesions and Carcinomas (8 papers) and Medical Image Segmentation Techniques (6 papers). Caroline Rubin collaborates with scholars based in United Kingdom and United States. Caroline Rubin's co-authors include I Taylor, Joanna Fairhurst, N.V. Freeman, I. Hyde, John D. Williams, Reyer Zwiggelaar, Robert Martí, D. Ravichandran, G T Royle and P.B. Guyer and has published in prestigious journals such as British journal of surgery, Neurosurgery and Journal of Pediatric Surgery.

In The Last Decade

Caroline Rubin

28 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Rubin United Kingdom 11 140 112 84 77 65 28 376
Mahesh K. Shetty United States 15 167 1.2× 116 1.0× 99 1.2× 55 0.7× 8 0.1× 29 435
RA Filly United States 8 65 0.5× 46 0.4× 43 0.5× 14 0.2× 40 0.6× 10 372
Javier del Riego Spain 9 47 0.3× 43 0.4× 39 0.5× 11 0.1× 74 1.1× 20 223
L. Füzesi Germany 11 44 0.3× 78 0.7× 62 0.7× 75 1.0× 6 0.1× 20 405
Fatma Tokat Türkiye 12 33 0.2× 23 0.2× 67 0.8× 13 0.2× 26 0.4× 45 378
Luca Cima Italy 10 20 0.1× 47 0.4× 59 0.7× 16 0.2× 12 0.2× 31 349
Rodrigo Menezes Jales Brazil 12 39 0.3× 34 0.3× 51 0.6× 29 0.4× 5 0.1× 37 398
Moshe Carmon Israel 9 159 1.1× 198 1.8× 71 0.8× 14 0.2× 7 0.1× 26 550
Ioannis Papapanagiotou Greece 11 37 0.3× 64 0.6× 32 0.4× 17 0.2× 7 0.1× 49 405
Ralph L. Smathers United States 12 41 0.3× 44 0.4× 35 0.4× 7 0.1× 20 0.3× 18 294

Countries citing papers authored by Caroline Rubin

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Rubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Rubin

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Rubin. A scholar is included among the top collaborators of Caroline Rubin 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 Caroline Rubin. Caroline Rubin 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.
Rubin, Caroline, et al.. (2013). Chlorhexidine Gluconate. Critical Care Nursing Quarterly. 36(2). 233–236. 5 indexed citations
2.
Rubin, Caroline, et al.. (2011). Brodie's abscess: Figure 1. Emergency Medicine Journal. 29(1). 27–27. 2 indexed citations
3.
Turner, Cortney A., Caroline Rubin, G T Royle, Michael A. Flynn, & Jeffrey Theaker. (2005). Screen detected sclerosing lymphocytic lobulitis and amyloid of the breast in the same patient—a possible causal link. The Breast. 15(2). 281–283. 3 indexed citations
4.
Martí, Robert, Reyer Zwiggelaar, Caroline Rubin, & Erika Denton. (2004). TWO-DIMENSIONAL–THREE-DIMENSIONAL CORRESPONDENCE IN MAMMOGRAPHY. Cybernetics & Systems. 35(1). 85–105. 8 indexed citations
5.
Martí, Robert, Reyer Zwiggelaar, Caroline Rubin, & Erika Denton. (2004). TWO-DIMENSIONAL-THREE-DIMENSIONAL CORRESPONDENCE IN MAMMOGRAPHY. Cybernetics & Systems. 35(1). 85–105. 3 indexed citations
6.
Martí, Robert, Reyer Zwiggelaar, Caroline Rubin, & Erika Denton. (2002). 2D-3D correspondence in mammography. UEA Digital Repository (University of East Anglia). 6 indexed citations
7.
Martí, Robert, Reyer Zwiggelaar, & Caroline Rubin. (2002). AUTOMATIC POINT CORRESPONDENCE AND REGISTRATION BASED ON LINEAR STRUCTURES. International Journal of Pattern Recognition and Artificial Intelligence. 16(3). 331–340. 7 indexed citations
8.
Coombs, Nathan, et al.. (2001). Improving the sensitivity of stereotactic core biopsy to diagnose ductal carcinomain situof the breast: a mathematical model. British Journal of Radiology. 74(878). 123–126. 2 indexed citations
9.
Martí, Robert, Reyer Zwiggelaar, & Caroline Rubin. (2001). Automatic mammographic registration: Towards the detection of abnormalities. UEA Digital Repository (University of East Anglia). 3 indexed citations
10.
Rubin, Caroline, et al.. (1995). Sclerosing lymphocytic lobulitis of the breast. Clinical Radiology. 50(3). 165–167. 21 indexed citations
11.
Brown, Jacqueline, J Chamberlain, J P Sloane, et al.. (1994). The effect of fine needle aspiration cytology on the number of diagnostic biopsies and time to diagnosis in a breast screening programme. The Breast. 3(2). 103–108. 1 indexed citations
12.
Ravichandran, D., et al.. (1994). Sclerosing lymphocytic lobulitis. A benign breast condition simulating carcinoma. The Breast. 3(2). 113–115. 1 indexed citations
13.
Campbell, Ian, G T Royle, Annie Herbert, et al.. (1993). Management of screen-detected breast cancer: audit of the first 100 cases in the Southampton and Salisbury breast screening programme.. PubMed. 75(1). 13–7. 5 indexed citations
14.
Guyer, P.B., et al.. (1992). Ultrasonic attenuation in fibroadenoma of the breast. Clinical Radiology. 45(3). 175–178. 11 indexed citations
15.
Nelson, R. J., Jane E. Roberts, Caroline Rubin, et al.. (1991). Association of Hypovolemia after Subarachnoid Hemorrhage with Computed Tomographic Scan Evidence of Raised Intracranial Pressure. Neurosurgery. 29(2). 178–182. 8 indexed citations
16.
Nelson, R. J., et al.. (1991). Association of hypovolemia after subarachnoid hemorrhage with computed tomographic scan evidence of raised intracranial pressure. Neurosurgery. 29(2). 178–178. 12 indexed citations
17.
Fairhurst, Joanna, Caroline Rubin, I. Hyde, N.V. Freeman, & John D. Williams. (1991). Bladder capacity in infants. Journal of Pediatric Surgery. 26(1). 55–57. 74 indexed citations
18.
Campbell, Ian, Jeffrey Theaker, G T Royle, et al.. (1991). Impact of an Extensive in Situ Component on the Presence of Residual Disease in Screen Detected Breast Cancer. Journal of the Royal Society of Medicine. 84(11). 652–656. 10 indexed citations
19.
Campbell, Ian, Jeffrey Theaker, G T Royle, et al.. (1991). Technique and results of localization biopsy in a breast screening programme. British journal of surgery. 78(9). 1113–1115. 12 indexed citations
20.
Rubin, Caroline & Joanna Fairhurst. (1988). Life-threatening haemorrhage from typhoid fever. British Journal of Radiology. 61(725). 415–416. 8 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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