Jim Diamond

430 total citations
9 papers, 292 citations indexed

About

Jim Diamond is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology. According to data from OpenAlex, Jim Diamond has authored 9 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Oncology. Recurrent topics in Jim Diamond's work include AI in cancer detection (4 papers), Digital Imaging for Blood Diseases (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Jim Diamond is often cited by papers focused on AI in cancer detection (4 papers), Digital Imaging for Blood Diseases (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Jim Diamond collaborates with scholars based in United Kingdom, Ireland and China. Jim Diamond's co-authors include Peter Hamilton, Adrian Ion‐Mărgineanu, Paul G. O’Reilly, Hammad Qureshi, Ahmed Serag, Danny Crookes, Yinhai Wang, Shilan Wang, John S. McCartney and B.K. Hinds and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Selected Topics in Signal Processing and Frontiers in Medicine.

In The Last Decade

Jim Diamond

9 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jim Diamond United Kingdom	7	162	103	66	56	38	9	292
Thomas E. Tavolara United States	12	157 1.0×	134 1.3×	81 1.2×	55 1.0×	29 0.8×	36	336
Hammad Qureshi Pakistan	8	167 1.0×	107 1.0×	39 0.6×	83 1.5×	34 0.9×	24	321
Emmanuel Agosto‐Arroyo United States	5	207 1.3×	148 1.4×	81 1.2×	47 0.8×	51 1.3×	11	327
Jesper Molin Sweden	8	242 1.5×	123 1.2×	40 0.6×	68 1.2×	63 1.7×	18	318
W. Roger Williams United States	2	201 1.2×	156 1.5×	52 0.8×	65 1.2×	37 1.0×	2	360
Peter Truszkowski United States	2	211 1.3×	187 1.8×	60 0.9×	41 0.7×	24 0.6×	2	341
Nick Weiss Germany	10	176 1.1×	151 1.5×	49 0.7×	104 1.9×	53 1.4×	16	353
Carlos F. Villamil Canada	8	152 0.9×	102 1.0×	52 0.8×	40 0.7×	15 0.4×	19	310
Zhaoxuan Ma United States	8	254 1.6×	182 1.8×	64 1.0×	84 1.5×	53 1.4×	9	377
Mostafa Jahanifar United Kingdom	10	256 1.6×	177 1.7×	87 1.3×	109 1.9×	45 1.2×	20	376

Countries citing papers authored by Jim Diamond

Since Specialization

Citations

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

Fields of papers citing papers by Jim Diamond

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Diamond

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

All Works

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9 of 9 papers shown

1.

Serag, Ahmed, Adrian Ion‐Mărgineanu, Hammad Qureshi, et al.. (2019). Translational AI and Deep Learning in Diagnostic Pathology. Frontiers in Medicine. 6. 185–185. 168 indexed citations

2.

Crookes, Danny, et al.. (2016). Multi-scale Colorectal Tumour Segmentation Using a Novel Coarse to Fine Strategy. 97.1–97.12. 1 indexed citations

3.

Koo, Vincent, Peter Hamilton, Perry Maxwell, et al.. (2010). Novel In Vitro Assays for the Characterization of EMT in Tumourigenesis. Analytical Cellular Pathology. 32(1-2). 67–76. 5 indexed citations

4.

Koo, Vincent, Peter Hamilton, Perry Maxwell, et al.. (2010). Novel in vitro assays for the characterization of EMT in tumourigenesis.. SHILAP Revista de lepidopterología. 32(1-2). 67–76. 14 indexed citations

5.

Wang, Yinhai, et al.. (2009). Assisted Diagnosis of Cervical Intraepithelial Neoplasia (CIN). IEEE Journal of Selected Topics in Signal Processing. 3(1). 112–121. 61 indexed citations

6.

Wang, Yinhai, et al.. (2007). Segmentation of Squamous Epithelium from Ultra-large Cervical Histological Virtual Slides. Conference proceedings. 2007. 775–778. 9 indexed citations

7.

Wang, Yinhai, et al.. (2007). Investigation of Methodologies for the Segmentation of Squamous Epithelium from Cervical Histological Virtual Slides. 2. 83–90. 9 indexed citations

8.

Rajab, Nor Fadilah, Declan J. McKenna, Jim Diamond, et al.. (2006). Prediction of radiosensitivity in human bladder cell lines using nuclear chromatin phenotype. Cytometry Part A. 69A(10). 1077–1085. 9 indexed citations

9.

Hinds, B.K., et al.. (1992). 3D CAD for Garment Design. International Journal of Clothing Science and Technology. 4(4). 6–14. 16 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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