C.M. Bishop

1.6k total citations
13 papers, 1.1k citations indexed

About

C.M. Bishop is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, C.M. Bishop has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Nuclear and High Energy Physics. Recurrent topics in C.M. Bishop's work include Magnetic confinement fusion research (3 papers), Image Retrieval and Classification Techniques (3 papers) and Ionosphere and magnetosphere dynamics (2 papers). C.M. Bishop is often cited by papers focused on Magnetic confinement fusion research (3 papers), Image Retrieval and Classification Techniques (3 papers) and Ionosphere and magnetosphere dynamics (2 papers). C.M. Bishop collaborates with scholars based in United Kingdom, United States and South Africa. C.M. Bishop's co-authors include B. D. Ripley, Nicholas Lange, Julia Lasserre, Michael E. Tipping, Thomas P. Minka, İlkay Ulusoy, Geoffrey E. Hinton, Markus Svensén, Adnan Ćustović and Danielle Belgrave and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Allergy.

In The Last Decade

C.M. Bishop

13 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
C.M. Bishop United Kingdom	11	379	358	114	114	103	13	1.1k
Massimo Ferri Italy	18	211 0.6×	248 0.7×	17 0.1×	36 0.3×	35 0.3×	87	1.2k
Ali Mohammad‐Djafari France	24	323 0.9×	327 0.9×	309 2.7×	11 0.1×	39 0.4×	196	1.8k
Andreas Müller Germany	13	270 0.7×	236 0.7×	275 2.4×	400 3.5×	10 0.1×	44	1.7k
Elizabeth Bradley United States	19	260 0.7×	98 0.3×	141 1.2×	14 0.1×	17 0.2×	87	1.7k
Ranjan Maitra United States	20	472 1.2×	111 0.3×	117 1.0×	22 0.2×	46 0.4×	73	1.3k
A. L. Graps United States	14	161 0.4×	405 1.1×	195 1.7×	22 0.2×	15 0.1×	36	1.7k
Shinjae Yoo United States	22	951 2.5×	266 0.7×	72 0.6×	32 0.3×	13 0.1×	140	1.9k
Vladimir G. Ivancevic Australia	17	119 0.3×	114 0.3×	43 0.4×	12 0.1×	33 0.3×	86	877
M. Urban Czechia	12	242 0.6×	3.0k 8.3×	51 0.4×	172 1.5×	12 0.1×	60	3.8k
Darren J. Kerbyson United States	26	186 0.5×	352 1.0×	44 0.4×	56 0.5×	6 0.1×	117	2.6k

Countries citing papers authored by C.M. Bishop

Since Specialization

Citations

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

Fields of papers citing papers by C.M. Bishop

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C.M. Bishop

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Bishop, C.M., et al.. (2024). Light and Dark Mode. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(1). 1–23. 7 indexed citations

2.

Roberts, Graham, Adnan Ćustović, Danielle Belgrave, et al.. (2013). Multiple atopy phenotypes and their associations with asthma: similar findings from two birth cohorts. Allergy. 68(6). 764–770. 124 indexed citations

3.

Lasserre, Julia, C.M. Bishop, & Thomas P. Minka. (2006). Principled Hybrids of Generative and Discriminative Models. 1. 87–94. 193 indexed citations

4.

Ulusoy, İlkay & C.M. Bishop. (2005). Generative versus Discriminative Methods for Object Recognition. OpenMETU (Middle East Technical University). 2. 258–265. 97 indexed citations

5.

Rowstron, Antony, Neil D. Lawrence, & C.M. Bishop. (2005). Probabilistic modelling of replica divergence. 55–60. 1 indexed citations

6.

Bishop, C.M., Markus Svensén, & Geoffrey E. Hinton. (2004). Distinguishing Text from Graphics in On-Line Handwritten Ink. 142–147. 46 indexed citations

7.

Krishnapuram, Balaji, C.M. Bishop, & Martin Szummer. (2004). Generative Models and Bayesian Model Comparison for Shape Recognition. 20–25. 13 indexed citations

8.

Bishop, C.M. & Michael E. Tipping. (1998). A hierarchical latent variable model for data visualization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3). 281–293. 128 indexed citations

9.

Lange, Nicholas, C.M. Bishop, & B. D. Ripley. (1997). Neural Networks for Pattern Recognition.. Journal of the American Statistical Association. 92(440). 1642–1642. 362 indexed citations

10.

Bishop, C.M.. (1997). GTM through time. 1997. 111–116. 34 indexed citations

11.

Bishop, C.M., et al.. (1992). Neural network approach to energy confinement scaling in Tokamaks. Plasma Physics and Controlled Fusion. 34(7). 1291–1302. 19 indexed citations

12.

Bishop, C.M.. (1987). Bifurcated temperature profiles and the H-mode. Nuclear Fusion. 27(11). 1765–1771. 13 indexed citations

13.

Bishop, C.M.. (1986). Stability of localized MHD modes in divertor tokamaks – a picture of the H-mode. Nuclear Fusion. 26(8). 1063–1072. 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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