Ben Aldridge

422 total citations
7 papers, 87 citations indexed

About

Ben Aldridge is a scholar working on Oncology, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Ben Aldridge has authored 7 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Surgery. Recurrent topics in Ben Aldridge's work include Cutaneous Melanoma Detection and Management (5 papers), melanin and skin pigmentation (1 paper) and Reconstructive Facial Surgery Techniques (1 paper). Ben Aldridge is often cited by papers focused on Cutaneous Melanoma Detection and Management (5 papers), melanin and skin pigmentation (1 paper) and Reconstructive Facial Surgery Techniques (1 paper). Ben Aldridge collaborates with scholars based in United Kingdom and Italy. Ben Aldridge's co-authors include Robert B. Fisher, Jonathan Rees, Lucia Ballerini, Xiang Li, Nikolaos Laskaris, Vitoantonio Bevilacqua, Konstantinos Katsanos, Narayan Karunanithy, Martin Wiener and Andrew Davies and has published in prestigious journals such as Plastic & Reconstructive Surgery, Lecture notes in computer science and Discovery Research Portal (University of Dundee).

In The Last Decade

Ben Aldridge

7 papers receiving 77 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Aldridge United Kingdom	5	48	36	24	19	13	7	87
Sergey Demyanov Australia	5	87 1.8×	92 2.6×	14 0.6×	25 1.3×	22 1.7×	6	143
Neda Zamani Tajeddin Iran	4	86 1.8×	62 1.7×	10 0.4×	15 0.8×	28 2.2×	4	100
Zahra Mirikharaji Canada	5	85 1.8×	101 2.8×	50 2.1×	53 2.8×	29 2.2×	5	168
Alceu Bissoto Brazil	4	61 1.3×	66 1.8×	20 0.8×	28 1.5×	22 1.7×	7	106
G. Surówka Poland	6	62 1.3×	54 1.5×	5 0.2×	11 0.6×	13 1.0×	15	82
Jacob Pfau United States	3	90 1.9×	66 1.8×	25 1.0×	8 0.4×	28 2.2×	4	175
Tathagat Banerjee India	7	16 0.3×	25 0.7×	24 1.0×	47 2.5×	9 0.7×	21	105
Ashi Agarwal India	4	26 0.5×	20 0.6×	12 0.5×	15 0.8×	9 0.7×	8	60
Saif Ur-Rehman United States	3	20 0.4×	20 0.6×	22 0.9×	6 0.3×	5 0.4×	4	77
Calvin Ku China	3	23 0.5×	98 2.7×	66 2.8×	70 3.7×	7 0.5×	3	126

Countries citing papers authored by Ben Aldridge

Since Specialization

Citations

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

Fields of papers citing papers by Ben Aldridge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Aldridge

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

All Works

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7 of 7 papers shown

1.

Wiener, Martin, Narayan Karunanithy, Andrew Davies, et al.. (2018). A New Approach to an Old Flap: A Technique to Augment Venous Drainage from the Paramedian Forehead Flap. Plastic & Reconstructive Surgery. 143(1). 269–271. 3 indexed citations

2.

Bevilacqua, Vitoantonio, et al.. (2015). Hierarchical Classification of Ten Skin Lesion Classes. 5 indexed citations

3.

Ballerini, Lucia, Robert B. Fisher, Ben Aldridge, & Jonathan Rees. (2012). Non-melanoma skin lesion classification using colour image data in a hierarchical K-NN classifier. Discovery Research Portal (University of Dundee). 358–361. 25 indexed citations

4.

Li, Xiang, Ben Aldridge, Robert B. Fisher, & Jonathan Rees. (2011). Estimating the ground truth from multiple individual segmentations incorporating prior pattern analysis with application to skin lesion segmentation. Edinburgh Research Explorer. 1438–1441. 27 indexed citations

5.

Ballerini, Lucia, et al.. (2011). Visual cues do not improve skin lesion ABC(D) grading. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7966. 79660U–79660U. 3 indexed citations

6.

Laskaris, Nikolaos, Lucia Ballerini, Robert B. Fisher, Ben Aldridge, & Jonathan Rees. (2010). Fuzzy description of skin lesions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 11 indexed citations

7.

Li, Xiang, Ben Aldridge, Lucia Ballerini, Robert B. Fisher, & Jonathan Rees. (2009). Depth Data Improves Skin Lesion Segmentation. Lecture notes in computer science. 12(Pt 2). 1100–1107. 13 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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