Jim Graham

1.8k total citations
39 papers, 1.2k citations indexed

About

Jim Graham is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Surgery. According to data from OpenAlex, Jim Graham has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Jim Graham's work include Medical Image Segmentation Techniques (7 papers), Gene expression and cancer classification (5 papers) and Dental Radiography and Imaging (5 papers). Jim Graham is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Gene expression and cancer classification (5 papers) and Dental Radiography and Imaging (5 papers). Jim Graham collaborates with scholars based in United Kingdom, Australia and United States. Jim Graham's co-authors include Xin Chen, Rayaz A. Malik, Mohammad A. Dabbah, Ioannis N. Petropoulos, Mike Rogers, Mitra Tavakoli, Hugh Devlin, Robert P. Tonge, Nathan Efron and Keith Horner and has published in prestigious journals such as Diabetes Care, IEEE Transactions on Image Processing and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Jim Graham

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jim Graham United Kingdom	20	303	274	260	241	145	39	1.2k
Guang Li China	22	24 0.1×	90 0.3×	316 1.2×	279 1.2×	45 0.3×	82	1.3k
Scott D. Smith United States	34	369 1.2×	2.9k 10.5×	2.3k 8.7×	361 1.5×	16 0.1×	113	4.0k
Claude Laurent Benhamou France	22	34 0.1×	13 0.0×	212 0.8×	525 2.2×	74 0.5×	59	1.8k
Jiaqi Chen China	19	354 1.2×	304 1.1×	419 1.6×	347 1.4×	4 0.0×	123	1.5k
Min Soo Kim South Korea	20	48 0.2×	15 0.1×	87 0.3×	176 0.7×	164 1.1×	109	1.1k
Hirsch Be United States	16	98 0.3×	15 0.1×	145 0.6×	80 0.3×	16 0.1×	38	1.1k
Qi Wei United States	17	19 0.1×	26 0.1×	445 1.7×	265 1.1×	29 0.2×	65	1.3k
Andrew C. Browning United Kingdom	22	126 0.4×	908 3.3×	587 2.3×	261 1.1×	7 0.0×	57	1.3k
Chao Han China	20	41 0.1×	37 0.1×	44 0.2×	157 0.7×	128 0.9×	74	1.1k

Countries citing papers authored by Jim Graham

Since Specialization

Citations

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

Fields of papers citing papers by Jim Graham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Graham

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

All Works

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20 of 20 papers shown

Devlin, Hugh, et al.. (2021). The ADEPT study: a comparative study of dentists' ability to detect enamel-only proximal caries in bitewing radiographs with and without the use of AssistDent artificial intelligence software. BDJ. 231(8). 481–485. 34 indexed citations

Chen, Xin, Jim Graham, Ioannis N. Petropoulos, et al.. (2018). Corneal Nerve Fractal Dimension: A Novel Corneal Nerve Metric for the Diagnosis of Diabetic Sensorimotor Polyneuropathy. Investigative Ophthalmology & Visual Science. 59(2). 1113–1113. 67 indexed citations

Chen, Xin, Jim Graham, Mohammad A. Dabbah, et al.. (2015). Small Nerve Fiber Quantification in the Diagnosis of Diabetic Sensorimotor Polyneuropathy: Comparing Corneal Confocal Microscopy With Intraepidermal Nerve Fiber Density. Diabetes Care. 38(6). 1138–1144. 181 indexed citations

Murphy, Philip S., et al.. (2013). The accuracy of prostate volume measurement from ultrasound images: A quasi-Monte Carlo simulation study using magnetic resonance imaging. Computerized Medical Imaging and Graphics. 37(7-8). 628–635. 2 indexed citations

Chen, Xin, et al.. (2012). Automatic Inference and Measurement of 3D Carpal Bone Kinematics From Single View Fluoroscopic Sequences. IEEE Transactions on Medical Imaging. 32(2). 317–328. 20 indexed citations

Chen, Xin, Jim Graham, Charles Hutchinson, & Lindsay Muir. (2011). Inferring 3D Kinematics of Carpal Bones from Single View Fluoroscopic Sequences. Lecture notes in computer science. 14(Pt 2). 680–687. 6 indexed citations

Horner, Keith, Philip D. Allen, Jim Graham, et al.. (2010). The relationship between the OSTEODENT index and hip fracture risk assessment using FRAX. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 110(2). 243–249. 31 indexed citations

Efron, Nathan, Katie Edwards, Nicola Pritchard, et al.. (2010). Repeatability of Measuring Corneal Subbasal Nerve Fiber Length in Individuals With Type 2 Diabetes. Eye & Contact Lens Science & Clinical Practice. 36(5). 245–248. 75 indexed citations

Nicopoulou‐Karayianni, K, Anastasia Mitsea, A. Karayiannis, et al.. (2009). Tooth loss and osteoporosis: the osteodent study. Journal Of Clinical Periodontology. 36(3). 190–197. 91 indexed citations

10.

Bowen, Audrey, et al.. (2005). Developing functional outcome measures for unilateral neglect: A pilot study. Neuropsychological Rehabilitation. 15(2). 97–113. 11 indexed citations

11.

Rogers, Mike, Jim Graham, & Robert P. Tonge. (2003). Statistical models of shape for the analysis of protein spots in two‐dimensional electrophoresis gel images. PROTEOMICS. 3(6). 887–896. 43 indexed citations

12.

Rogers, Mike, Jim Graham, & Robert P. Tonge. (2003). Using statistical image models for objective evaluation of spot detection in two‐dimensional gels. PROTEOMICS. 3(6). 879–886. 39 indexed citations

13.

Graham, Jim & Jim Piper. (2003). Automatic Karyotype Analysis. Humana Press eBooks. 29. 141–186. 38 indexed citations

14.

Graham, Jim, et al.. (2002). LONG-TERM PAVEMENT MARKING PRACTICES. 29 indexed citations

15.

Graham, Jim. (2000). Image Processing and Analysis: A Practical Approach. Research Explorer (The University of Manchester). 27 indexed citations

16.

Graham, Jim, et al.. (1999). Trainable grey-level models for disentangling overlapping chromosomes. Pattern Recognition. 32(8). 1335–1349. 19 indexed citations

17.

Graham, Jim, et al.. (1995). User programmable visual inspection. Image and Vision Computing. 13(8). 623–628. 6 indexed citations

18.

Graham, Jim, et al.. (1994). User Programmable Visual Inspection. 65.1–65.10. 1 indexed citations

19.

Graham, Jim, et al.. (1993). Application of artificial neural networks to chromosome classification. Cytometry. 14(6). 627–639. 46 indexed citations

20.

Graham, Jim, et al.. (1992). A Neural Network Chromosome Classifier. Journal of Radiation Research. 33(SUPPLEMENT). 250–257. 18 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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