M.T. Bishop

50 papers receiving 544 citations

Peers

M.T. Bishop
Comparison fields: 5 of 80
  • Electronic, Optical and Magnetic Materials 136
  • Control and Systems Engineering 167
  • Electrical and Electronic Engineering 367
  • Cognitive Neuroscience 111
  • Experimental and Cognitive Psychology 70
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Countries citing papers authored by M.T. Bishop

Since Specialization
Citations

This map shows the geographic impact of M.T. Bishop'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 M.T. Bishop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Bishop more than expected).

Fields of papers citing papers by M.T. Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.T. Bishop. 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 M.T. Bishop. The network helps show where M.T. Bishop may publish in the future.

Co-authors

The 20 scholars most cited alongside M.T. Bishop, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.T. Bishop Line = papers co-authored together M.T. Bishop links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Views into the Chinese Room: New Essays on Searle and Artificial Intelligence
2002101
2 199660
3 199656
4 200252
5 199646
6 200929
7 199529
8 200220
9 201418
10 199916
11 199415
12 198615
13 200212
14 199212
15 200211
16 201410
17 201710
18 199310
19
Stochastic Diffusion Optimisation: the application of partial function evaluation and stochastic recruitment in Swarm Intelligence optimisation
20069
20 20029

About M.T. Bishop

M.T. Bishop is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence and Cognitive Neuroscience, having authored 56 papers that have together received 648 indexed citations. Recurring topics across this work include Power Quality and Harmonics (14 papers), Power Transformer Diagnostics and Insulation (11 papers), Power System Reliability and Maintenance (11 papers), Power Systems Fault Detection (8 papers), Electrical Fault Detection and Protection (8 papers), Non-Destructive Testing Techniques (6 papers), Computability, Logic, AI Algorithms (5 papers) and High voltage insulation and dielectric phenomena (5 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (136 citations), Control and Systems Engineering (167 citations), Electrical and Electronic Engineering (367 citations), Cognitive Neuroscience (111 citations) and Experimental and Cognitive Psychology (70 citations). M.T. Bishop has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include J.F. Witte, John Preston, S.R. Mendis, Mohammad Majid al‐Rifaie, Slawomir J. Nasuto, Kerstin Dautenhahn, Frédéric Fol Leymarie, William Latham, Kris De Meyer and Ahmed Aber. Their work appears in journals such as IEEE Computer Applications in Power, IEEE Transactions on Power Delivery, IEEE Industry Applications Magazine, Connection Science and IEEE Transactions on Industry Applications.

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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