Ralph Highnam

2.5k total citations
52 papers, 1.4k citations indexed

About

Ralph Highnam is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ralph Highnam has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 34 papers in Pulmonary and Respiratory Medicine and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ralph Highnam's work include AI in cancer detection (35 papers), Digital Radiography and Breast Imaging (34 papers) and Global Cancer Incidence and Screening (15 papers). Ralph Highnam is often cited by papers focused on AI in cancer detection (35 papers), Digital Radiography and Breast Imaging (34 papers) and Global Cancer Incidence and Screening (15 papers). Ralph Highnam collaborates with scholars based in United Kingdom, New Zealand and Japan. Ralph Highnam's co-authors include Michael Brady, B. J. Shepstone, J. Michael Brady, Ruth Warren, Mona Jeffreys, George Davey Smith, Yasuyo Kita, Valerie McCormack, Martin J. Yaffe and Isabel dos‐Santos‐Silva and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and British Journal of Cancer.

In The Last Decade

Ralph Highnam

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ralph Highnam United Kingdom 21 876 840 539 445 272 52 1.4k
Elodia B. Cole United States 18 489 0.6× 491 0.6× 361 0.7× 314 0.7× 89 0.3× 45 957
Kathryn F. O′Shaughnessy United States 11 815 0.9× 355 0.4× 466 0.9× 426 1.0× 202 0.7× 11 1.3k
Sergi Ganau Spain 14 667 0.8× 268 0.3× 682 1.3× 210 0.5× 269 1.0× 49 1.7k
Marios A. Gavrielides United States 21 416 0.5× 400 0.5× 737 1.4× 215 0.5× 187 0.7× 68 1.2k
Albert Gubern‐Mérida Netherlands 23 1.8k 2.0× 667 0.8× 2.0k 3.7× 278 0.6× 309 1.1× 50 2.7k
Guangzhi Ma China 20 254 0.3× 417 0.5× 426 0.8× 289 0.6× 255 0.9× 79 1.2k
Vitor Werneck Krauss Silva United States 6 1.1k 1.3× 209 0.2× 786 1.5× 456 1.0× 409 1.5× 6 1.7k
Jayasree Chakraborty United States 20 508 0.6× 268 0.3× 911 1.7× 544 1.2× 369 1.4× 86 1.5k
Dulcy Wolverton United States 12 798 0.9× 295 0.4× 567 1.1× 308 0.7× 244 0.9× 17 1.0k
Yeh‐Chi Lo United States 14 305 0.3× 496 0.6× 367 0.7× 356 0.8× 146 0.5× 47 1.2k

Countries citing papers authored by Ralph Highnam

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Highnam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralph Highnam

This figure shows the co-authorship network connecting the top 25 collaborators of Ralph Highnam. A scholar is included among the top collaborators of Ralph Highnam 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 Ralph Highnam. Ralph Highnam 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.
Hofvind, Solveig, et al.. (2016). Development of a phantom to test fully automated breast density software – A work in progress. Radiography. 23(1). e14–e19. 3 indexed citations
2.
Branderhorst, Woutjan, Ralph Highnam, Marcela Böhm-Vélez, et al.. (2014). Mammographic compression – A need for mechanical standardization. European Journal of Radiology. 84(4). 596–602. 50 indexed citations
3.
Highnam, Ralph, Marianne J. Brady, Martin J. Yaffe, N. Karssemeijer, & James Harvey. (2010). Robust breast composition measurement - Volpara™. Lecture notes in computer science. 342–349. 80 indexed citations
4.
Kataoka, Masako, Charlotte Atkinson, Ruth Warren, et al.. (2008). Mammographic density using two computer-based methods in an isoflavone trial. Maturitas. 59(4). 350–357. 12 indexed citations
5.
Rajagopal, Vijay, Angela Lee, Jae Hoon Chung, et al.. (2008). Creating Individual-specific Biomechanical Models of the Breast for Medical Image Analysis. Academic Radiology. 15(11). 1425–1436. 50 indexed citations
6.
Kataoka, Masako, B.B. Muir, Elaine Anderson, et al.. (2008). Does a short cessation of HRT decrease mammographic density?. Maturitas. 59(4). 315–322. 5 indexed citations
7.
Warren, Richard J., Tony Solomonides, Iqbal Warsi, et al.. (2007). A prototype distributed mammographic database for Europe. UWE Research Repository (UWE Bristol). 2 indexed citations
8.
Jeffreys, Mona, Ruth Warren, Ralph Highnam, & George Davey Smith. (2007). Breast cancer risk factors and a novel measure of volumetric breast density: cross-sectional study. British Journal of Cancer. 98(1). 210–216. 37 indexed citations
9.
Warren, Ruth, Deborah J. Thompson, Chiara Del Frate, et al.. (2007). A comparison of some anthropometric parameters between an Italian and a UK population: “proof of principle” of a European project using MammoGrid. Clinical Radiology. 62(11). 1052–1060. 12 indexed citations
10.
Rajagopal, Vijay, Angela Lee, Jae Hoon Chung, et al.. (2007). Towards Tracking Breast Cancer Across Medical Images Using Subject-Specific Biomechanical Models. Lecture notes in computer science. 10(Pt 1). 651–658. 20 indexed citations
11.
Jeffreys, Mona, Ruth Warren, Ralph Highnam, & George Davey Smith. (2006). Initial experiences of using an automated volumetric measure of breast density: the standard mammogram form. British Journal of Radiology. 79(941). 378–382. 43 indexed citations
12.
Highnam, Ralph, et al.. (2006). Breast composition measurements using retrospective standard mammogram form (SMF). Physics in Medicine and Biology. 51(11). 2695–2713. 56 indexed citations
13.
Marias, Kostas, Christian Behrenbruch, Ralph Highnam, et al.. (2004). A mammographic image analysis method to detect and measure changes in breast density. European Journal of Radiology. 52(3). 276–282. 25 indexed citations
14.
Kita, Yasuyo, Eriko Tohno, Ralph Highnam, & Michael Brady. (2002). A CAD system for the 3D location of lesions in mammograms. Medical Image Analysis. 6(3). 267–273. 16 indexed citations
15.
Tchou, Julia, Ruth English, Ralph Highnam, et al.. (2001). A mammographic dilemma: calcification or haemosiderin as a cause of opacities? Validation of a new digital diagnostic tool. British Journal of Radiology. 74(887). 1048–1051. 2 indexed citations
16.
Brady, J. Michael, et al.. (2000). Reconstructing microcalcification clusters in 3-D using a parameterised breast compression model. 1214. 723–728. 1 indexed citations
17.
Brady, J. Michael, et al.. (1999). Detecting calcifications in mammograms using the h(int) representation. 1191. 373–377.
18.
Highnam, Ralph, J. Michael Brady, & B. J. Shepstone. (1998). Estimation of compressed breast thickness during mammography.. British Journal of Radiology. 71(846). 646–653. 26 indexed citations
19.
Highnam, Ralph, J. Michael Brady, & B. J. Shepstone. (1997). Mammographic image analysis. European Journal of Radiology. 24(1). 20–32. 126 indexed citations
20.
Highnam, Ralph, J. Michael Brady, & B. J. Shepstone. (1994). Computing the scatter component of mammographic images. IEEE Transactions on Medical Imaging. 13(2). 301–313. 17 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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