Nigel John

6.5k total citations
15 papers, 169 citations indexed

About

Nigel John is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Nigel John has authored 15 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Neurology. Recurrent topics in Nigel John's work include Medical Image Segmentation Techniques (8 papers), Neural Networks and Applications (4 papers) and Brain Tumor Detection and Classification (4 papers). Nigel John is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Neural Networks and Applications (4 papers) and Brain Tumor Detection and Classification (4 papers). Nigel John collaborates with scholars based in United States and India. Nigel John's co-authors include Mansur R. Kabuka, Akmal A. Younis, Mohamed Ibrahim, Nooshin Nabizadeh, Clinton B. Wright, Jia Xu, Ubbo Visser, Miroslav Kubát, Nirmal Varghese Babu and Xiaohong Li and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Computers and Image and Vision Computing.

In The Last Decade

Nigel John

14 papers receiving 157 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel John United States 7 106 59 43 29 18 15 169
Yong Fan China 7 208 2.0× 17 0.3× 41 1.0× 28 1.0× 15 0.8× 18 346
Mahesh Pawar India 8 69 0.7× 63 1.1× 79 1.8× 52 1.8× 24 1.3× 25 230
D. Satyanarayana India 5 70 0.7× 29 0.5× 98 2.3× 19 0.7× 32 1.8× 22 198
Petru-Daniel Tudosiu United Kingdom 6 72 0.7× 40 0.7× 93 2.2× 73 2.5× 12 0.7× 11 187
László Lefkovits Romania 7 106 1.0× 80 1.4× 43 1.0× 13 0.4× 11 0.6× 24 165
Zuojin Hu China 6 65 0.6× 20 0.3× 81 1.9× 68 2.3× 18 1.0× 19 217
Menglin Jiang China 9 206 1.9× 13 0.2× 118 2.7× 54 1.9× 11 0.6× 17 270
Tanvir Fatima Naik Bukht Pakistan 7 103 1.0× 35 0.6× 84 2.0× 71 2.4× 35 1.9× 15 228
Umarani Jayaraman India 10 194 1.8× 16 0.3× 44 1.0× 18 0.6× 7 0.4× 34 291
Minakshi Banerjee India 8 173 1.6× 63 1.1× 33 0.8× 35 1.2× 18 1.0× 20 227

Countries citing papers authored by Nigel John

Since Specialization
Citations

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

Fields of papers citing papers by Nigel John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nigel John

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

All Works

15 of 15 papers shown
1.
2.
Xu, Jia, et al.. (2015). Module Extraction for Efficient Object Queries over Ontologies with Large ABoxes. PubMed Central. 2015(1). 8–31. 4 indexed citations
3.
Nabizadeh, Nooshin, Nigel John, & Clinton B. Wright. (2014). Histogram-based gravitational optimization algorithm on single MR modality for automatic brain lesion detection and segmentation. Expert Systems with Applications. 41(17). 7820–7836. 31 indexed citations
4.
Nabizadeh, Nooshin, Miroslav Kubát, Nigel John, & Clinton B. Wright. (2013). Automatic ischemic stroke lesion segmentation using single MR modality and gravitational histogram optimization based brain segmentation. 207–213. 3 indexed citations
5.
Nabizadeh, Nooshin, Miroslav Kubát, Nigel John, & Clinton B. Wright. (2013). Efficacy of Gabor-Wavelet versus statistical features for brain tumor classification in MRI: A comparative study. 242–247. 2 indexed citations
6.
Younis, Akmal A., et al.. (2012). Multi-Sectional Views Textural Based SVM for MS Lesion Segmentation in Multi-Channels MRIs. The Open Biomedical Engineering Journal. 6(1). 56–72. 14 indexed citations
7.
Younis, Akmal A., Mohamed Ibrahim, Mansur R. Kabuka, & Nigel John. (2007). An Artificial Immune-Activated Neural Network Applied to Brain 3D MRI Segmentation. Journal of Digital Imaging. 21(S1). 69–88. 17 indexed citations
8.
Younis, Akmal A., et al.. (2007). Co-segmentation of MR and MR spectroscopy imaging using hidden markov models. 52. 188–191. 3 indexed citations
9.
Younis, Akmal A., et al.. (2007). MS Lesions Detection in MRI Using Grouping Artificial Immune Networks. 3. 1139–1146. 8 indexed citations
10.
Ibrahim, Mohamed, Nigel John, Mansur R. Kabuka, & Akmal A. Younis. (2006). Hidden Markov models-based 3D MRI brain segmentation. Image and Vision Computing. 24(10). 1065–1079. 47 indexed citations
11.
John, Nigel, et al.. (2003). Multivariate Statistical Model for 3D Image Segmentation with Application to Medical Images. Journal of Digital Imaging. 16(4). 365–377. 8 indexed citations
12.
John, Nigel, et al.. (2002). A real-time solution for the traveling salesman problem using a Boolean neural network. IEEE International Conference on Neural Networks. 52. 1096–1103. 3 indexed citations
13.
John, Nigel. (1999). A three-dimensional statistical model for image segmentation and its application to MR brain images. 2 indexed citations
14.
John, Nigel, Xiaohong Li, Akmal A. Younis, & Mansur R. Kabuka. (1994). <title>Automatic segmentation of MR brain images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2167. 65–76. 1 indexed citations
15.
John, Nigel, et al.. (1993). A Boolean neural network approach for the traveling salesman problem. IEEE Transactions on Computers. 42(10). 1271–1278. 26 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yong Fan Breakdown of academic impact, for papers by Mahesh Pawar Breakdown of academic impact, for papers by D. Satyanarayana Breakdown of academic impact, for papers by Petru-Daniel Tudosiu Breakdown of academic impact, for papers by László Lefkovits Breakdown of academic impact, for papers by Zuojin Hu Breakdown of academic impact, for papers by Menglin Jiang Breakdown of academic impact, for papers by Tanvir Fatima Naik Bukht Breakdown of academic impact, for papers by Umarani Jayaraman Breakdown of academic impact, for papers by Minakshi Banerjee
Rankless by CCL
2026