Mike Talbot

626 citations
36 papers · 501 · h-index 13

Impact in

Papers in

    • Genetics and Plant Breeding 13
    • Wheat and Barley Genetics and Pathology 7
    • Genetic and phenotypic traits in livestock 4
    • Genetic Mapping and Diversity in Plants and Animals 3

Mike Talbot

34 papers receiving 423 citations

Peers

Mike Talbot
Comparison fields: 5 of 87
  • Plant Science 330
  • Agronomy and Crop Science 79
  • Genetics 128
  • Computer Science Applications 27
  • Environmental Chemistry 43
Replace AC Gleeson with:
AC Gleeson Australia
G. V. Dyke United States
Ana Carolina Campana Nascimento Brazil
R. R. Corbeil United States
Larry Bernstein United States
K. L. Mehra Canada
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R. A. Daamen Netherlands
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Mike Talbot, 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 Mike Talbot Line = papers co-authored together Mike Talbot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199885
2 198472
3 197757
4 198538
5 200234
6 199922
7 198819
8 199715
9 202015
10 199514
11 200214
12 200114
13 199212
14 200610
15 20039
16 20189
17 19969
18
Speech and language-based interaction with machines: towards the conversational computer
19888
19 19997
20 19987

About Mike Talbot

Mike Talbot is a scholar working on Plant Science, Genetics, Statistics and Probability, Management Science and Operations Research and Artificial Intelligence, having authored 36 papers that have together received 501 indexed citations. Recurring topics across this work include Genetics and Plant Breeding (13 papers), Wheat and Barley Genetics and Pathology (7 papers), Teaching and Learning Programming (4 papers), Genetic and phenotypic traits in livestock (4 papers), Optimal Experimental Design Methods (4 papers), Crop Yield and Soil Fertility (3 papers), Statistics Education and Methodologies (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Plant Science (330 citations), Agronomy and Crop Science (79 citations), Genetics (128 citations), Computer Science Applications (27 citations) and Environmental Chemistry (43 citations). Mike Talbot has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include C. M. Theobald, R. A. Kempton, H. D. Patterson, José Crossa, Matthew Reynolds, Mateo Vargas, Martha E. Ramírez, S. T. C. Weatherup, Ken D. Sayre and Martin Hovland. Their work appears in journals such as The Journal of Agricultural Science, Journal of the Royal Statistical Society Series C (Applied Statistics), Journal of Agricultural Biological and Environmental Statistics, Computational Statistics & Data Analysis and Experimental Agriculture.

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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