David Randell

3.0k total citations · 1 hit paper
30 papers, 1.5k citations indexed

About

David Randell is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Randell has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Randell's work include Constraint Satisfaction and Optimization (14 papers), Semantic Web and Ontologies (6 papers) and AI in cancer detection (5 papers). David Randell is often cited by papers focused on Constraint Satisfaction and Optimization (14 papers), Semantic Web and Ontologies (6 papers) and AI in cancer detection (5 papers). David Randell collaborates with scholars based in United Kingdom. David Randell's co-authors include Anthony G. Cohn, Zhanfeng Cui, Gabriel Landini, Antony Galton, Mark Witkowski, Murray Shanahan, Shereen Fouad, Ji Han, Toby P. Breckon and AG Cohn and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

In The Last Decade

David Randell

30 papers receiving 1.3k citations

Hit Papers

A Spatial Logic based on Regions and Connection. 1992 2026 2003 2014 1992 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Randell United Kingdom 13 905 748 734 383 229 30 1.5k
Antony Galton United Kingdom 20 484 0.5× 384 0.5× 687 0.9× 225 0.6× 174 0.8× 74 1.5k
M. Andrea Rodríguez Chile 14 318 0.4× 374 0.5× 672 0.9× 290 0.8× 120 0.5× 53 1.2k
Qiang Gao China 18 184 0.2× 201 0.3× 220 0.3× 62 0.2× 130 0.6× 97 1.1k
Jizhong Han China 23 579 0.6× 350 0.5× 660 0.9× 59 0.2× 623 2.7× 119 1.8k
Lihua Yue China 16 350 0.4× 136 0.2× 281 0.4× 19 0.0× 195 0.9× 101 889
Ji Ming United Kingdom 19 77 0.1× 864 1.2× 846 1.2× 35 0.1× 431 1.9× 136 1.6k
Min Lü China 14 162 0.2× 195 0.3× 77 0.1× 66 0.2× 342 1.5× 54 823
Adrian Popescu France 17 147 0.2× 148 0.2× 512 0.7× 97 0.3× 504 2.2× 114 1.2k
Christophe Hurter France 21 32 0.0× 392 0.5× 190 0.3× 195 0.5× 966 4.2× 77 1.5k
Dong Hyun Jeong United States 15 237 0.3× 158 0.2× 337 0.5× 22 0.1× 360 1.6× 60 811

Countries citing papers authored by David Randell

Since Specialization
Citations

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

Fields of papers citing papers by David Randell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Randell

This figure shows the co-authorship network connecting the top 25 collaborators of David Randell. A scholar is included among the top collaborators of David Randell 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 David Randell. David Randell 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.
Landini, Gabriel, Antony Galton, David Randell, & Shereen Fouad. (2019). Novel applications of discrete mereotopology to mathematical morphology. Signal Processing Image Communication. 76. 109–117. 4 indexed citations
2.
Fouad, Shereen, et al.. (2018). Imaging and machine learning methods for assessing HPV in situ hybridisation patterns in oropharyngeal carcinomas. BCU Open Access Repository (Birmingham City University). 2 indexed citations
3.
Fouad, Shereen, David Randell, Antony Galton, Hisham Mehanna, & Gabriel Landini. (2017). Unsupervised morphological segmentation of tissue compartments in histopathological images. PLoS ONE. 12(11). e0188717–e0188717. 24 indexed citations
4.
Fouad, Shereen, David Randell, Antony Galton, Hisham Mehanna, & Gabriel Landini. (2017). Epithelium and Stroma Identification in Histopathological Images Using Unsupervised and Semi-Supervised Superpixel-Based Segmentation. Journal of Imaging. 3(4). 61–61. 6 indexed citations
5.
Randell, David, Antony Galton, Shereen Fouad, Hisham Mehanna, & Gabriel Landini. (2017). Mereotopological Correction of Segmentation Errors in Histological Imaging. Journal of Imaging. 3(4). 63–63. 5 indexed citations
6.
Randell, David, Gabriel Landini, & Antony Galton. (2012). Discrete Mereotopology for Spatial Reasoning in Automated Histological Image Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(3). 568–581. 15 indexed citations
7.
Randell, David & Mark Witkowski. (2006). Using Occlusion Calculi to Interpret Digital Images. European Conference on Artificial Intelligence. 432–436. 4 indexed citations
8.
Randell, David & Mark Witkowski. (2006). Abductive visual perception with feature clouds. Principles of Knowledge Representation and Reasoning. 352–361. 3 indexed citations
9.
Shanahan, Murray & David Randell. (2004). A logic-based formulation of active visual perception. Principles of Knowledge Representation and Reasoning. 601. 64–72. 17 indexed citations
10.
Randell, David & Mark Witkowski. (2002). Building large composition tables via axiomatic theories. Principles of Knowledge Representation and Reasoning. 26–36. 14 indexed citations
11.
Randell, David, Mark Witkowski, & Murray Shanahan. (2001). From images to bodies: modelling and exploiting spatial occlusion and motion parallax. International Joint Conference on Artificial Intelligence. 22(6). 57–63. 34 indexed citations
12.
Randell, David. (2001). E-learning for continuing education: exploring a new frontier.. PubMed. 33(8). 24–8. 4 indexed citations
13.
Hammond, Peter, et al.. (1995). The RaPiD Project: Knowledge-based design of dental prostheses. Expert Systems with Applications. 9(2). 115–122. 2 indexed citations
14.
Hammond, Peter, et al.. (1993). Designing removable partial dentures with a knowledge-based system. UCL Discovery (University College London). 1 indexed citations
15.
Randell, David, AG Cohn, & Zhanfeng Cui. (1993). Naive topology: modeling the force pump. MIT Press eBooks. 177–192. 1 indexed citations
16.
Cui, Zhanfeng, Anthony G. Cohn, & David Randell. (1992). Qualitative simulation based on a logical formalism of space and time. National Conference on Artificial Intelligence. 679–684. 53 indexed citations
17.
Randell, David, et al.. (1992). An interval logic for space based on “connection”. European Conference on Artificial Intelligence. 394–398. 20 indexed citations
18.
Randell, David, Zhanfeng Cui, & Anthony G. Cohn. (1992). A Spatial Logic based on Regions and Connection.. Principles of Knowledge Representation and Reasoning. 165–176. 1046 indexed citations breakdown →
19.
Randell, David & Anthony G. Cohn. (1992). Exploiting lattices in a theory of space and time. Computers & Mathematics with Applications. 23(6-9). 459–476. 27 indexed citations
20.
Randell, David & Anthony G. Cohn. (1989). Modelling topological and metrical properties in physical processes. Principles of Knowledge Representation and Reasoning. 357–368. 81 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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