Mike Talbot

619 total citations
31 papers, 411 citations indexed

About

Mike Talbot is a scholar working on Plant Science, Genetics and Management Science and Operations Research. According to data from OpenAlex, Mike Talbot has authored 31 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 6 papers in Genetics and 5 papers in Management Science and Operations Research. Recurrent topics in Mike Talbot's work include Genetics and Plant Breeding (12 papers), Wheat and Barley Genetics and Pathology (7 papers) and Genetic and phenotypic traits in livestock (4 papers). Mike Talbot is often cited by papers focused on Genetics and Plant Breeding (12 papers), Wheat and Barley Genetics and Pathology (7 papers) and Genetic and phenotypic traits in livestock (4 papers). Mike Talbot collaborates with scholars based in United Kingdom, Germany and United States. Mike Talbot's co-authors include C. M. Theobald, R. A. Kempton, S. T. C. Weatherup, Matthew Reynolds, Mateo Vargas, Ken D. Sayre, Martha E. Ramírez, H. D. Patterson, José Crossa and Graham Horgan and has published in prestigious journals such as Crop Science, Computers and Electronics in Agriculture and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Mike Talbot

30 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mike Talbot United Kingdom	11	301	115	75	50	30	31	411
AC Gleeson Australia	11	259 0.9×	159 1.4×	113 1.5×	114 2.3×	57 1.9×	30	527
Ana Carolina Campana Nascimento Brazil	11	282 0.9×	159 1.4×	24 0.3×	13 0.3×	8 0.3×	63	407
Márcio Balestre Brazil	15	481 1.6×	268 2.3×	100 1.3×	14 0.3×	18 0.6×	47	545
M. Hühn Germany	11	471 1.6×	153 1.3×	135 1.8×	9 0.2×	11 0.4×	37	541
K. L. Mehra Canada	11	226 0.8×	33 0.3×	33 0.4×	66 1.3×	155 5.2×	61	509
G. V. Dyke United States	13	261 0.9×	18 0.2×	102 1.4×	77 1.5×	71 2.4×	35	512
C. M. von Krosigk United States	4	136 0.5×	221 1.9×	52 0.7×	44 0.9×	76 2.5×	6	428
Roger Mead United Kingdom	8	67 0.2×	15 0.1×	26 0.3×	109 2.2×	29 1.0×	16	267
P. N. Fox Mexico	16	978 3.2×	437 3.8×	209 2.8×	31 0.6×	8 0.3×	25	1.1k
C. G. McLaren Philippines	8	394 1.3×	158 1.4×	56 0.7×	3 0.1×	8 0.3×	15	437

Countries citing papers authored by Mike Talbot

Since Specialization

Citations

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

Fields of papers citing papers by Mike Talbot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Talbot

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

All Works

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20 of 20 papers shown

Hubwieser, Peter, et al.. (2022). Efficient Structural Analysis of Source Code for Large Scale Applications in Education. 2022 IEEE Global Engineering Education Conference (EDUCON). 24–30. 1 indexed citations

Talbot, Mike, et al.. (2020). Re-use of programming patterns or problem solving?. 1–10. 4 indexed citations

Hubwieser, Peter, et al.. (2020). Automated Measurement of Competencies and Generation of Feedback in Object-Oriented Programming Courses. Universitätsbibliographie, Universität Duisburg-Essen. 329–338. 11 indexed citations

Talbot, Mike, et al.. (2019). Aufgabe ist nicht gleich Aufgabe – Vielfältige Aufgabentypen bewusst in Scratch einsetzen. mediaTUM (Technical University of Munich). 171–190. 1 indexed citations

Talbot, Mike, et al.. (2018). Off to new shores. 1–6. 7 indexed citations

Osinski, G. R., Peter Dietrich, L. L. Tornabene, et al.. (2012). TEMMI: A Three Dimensional Exploration Multispectral Microscope Imager for Future Planetary Missions. 1683. 1081. 1 indexed citations

Pan, Shu, et al.. (2009). Case Studies on Simulation of Wax Deposition in Pipelines. 3 indexed citations

Mądry, Wiesław, et al.. (2006). Podstawy teoretyczne znaczenia efektów genotypowych i interakcyjnych w hodowli roślin na przykładzie pszenicy ozimej. Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin. 13–32. 3 indexed citations

Pange, Jenny & Mike Talbot. (2003). Literature survey and children's perception on risk. Zentralblatt für Didaktik der Mathematik. 35(4). 182–186. 8 indexed citations

10.

Theobald, C. M. & Mike Talbot. (2003). Bayesian selection of fertilizer level when crop price depends on quality. Computational Statistics & Data Analysis. 47(4). 867–880. 2 indexed citations

11.

Theobald, C. M., et al.. (2002). A bayesian approach to regional and local-area prediction from crop variety trials. Journal of Agricultural Biological and Environmental Statistics. 7(3). 403–419. 34 indexed citations

12.

Theobald, C. M. & Mike Talbot. (2002). The Bayesian Choice of Crop Variety and Fertilizer Dose. Journal of the Royal Statistical Society Series C (Applied Statistics). 51(1). 23–36. 13 indexed citations

13.

Horgan, Graham, et al.. (2001). Use of statistical image analysis to discriminate carrot cultivars. Computers and Electronics in Agriculture. 31(2). 191–199. 14 indexed citations

14.

Kempton, R. A., et al.. (1999). Analysis of Series of Trials Where Varieties Differ in Sensitivity to Locations. Journal of Agricultural Biological and Environmental Statistics. 4(3). 310–310. 22 indexed citations

15.

Vargas, Mateo, José Crossa, Ken D. Sayre, et al.. (1998). Interpreting Genotype ✕ Environment Interaction in Wheat by Partial Least Squares Regression. Crop Science. 38(3). 679–689. 81 indexed citations

16.

Horgan, Graham, et al.. (1998). Towards automatic recognition of plant varieties. Electronic workshops in computing. 6 indexed citations

17.

Talbot, Mike, et al.. (1991). Inter-plot competition in spring bean variety trials: a cautionary tale.. Aspects of applied biology. 59–61. 1 indexed citations

18.

Waterworth, John & Mike Talbot. (1988). Speech and language-based interaction with machines: towards the conversational computer. 7 indexed citations

19.

Talbot, Mike. (1987). Adapting to the speaker in automatic speech recognition. International Journal of Man-Machine Studies. 27(4). 449–457. 2 indexed citations

20.

Talbot, Mike. (1984). Yield variability of crop varieties in the U.K.. The Journal of Agricultural Science. 102(2). 315–321. 66 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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