K. D. Tocher

2.0k citations
39 papers · 1.2k · 1 hit paper · h-index 14

Impact in

Papers in

K. D. Tocher

38 papers receiving 880 citations

Hit Papers

Statistical Theory of Extreme Values and Some Practical Applications. 1955 · 431 citations
4310+23+47Years since publication100200300400

Peers

K. D. Tocher
Comparison fields: 5 of 142
  • Numerical Analysis 112
  • Management Science and Operations Research 212
  • Computational Theory and Mathematics 202
  • Statistics and Probability 76
  • Statistics, Probability and Uncertainty 61
Replace Robert G. Bartle with:
Robert G. Bartle United States
E. F. Beckenbach United States
Selmer Martin Johnson United States
J. R. Blum United States
David D. Sworder United States
Dale E. Varberg United States
Patrick L. Odell United States
V. Černý Slovakia
János Galambos United States
A. Dvoretzky Israel
K. D. Tocher relative to Robert G. Bartle United States Robert G. Bartle's profile →
Citations per field
00.5×1.5×2.3×
Robert G. Bartle · 1×
Citations per year

Countries citing papers authored by K. D. Tocher

Since Specialization
Citations

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

Fields of papers citing papers by K. D. Tocher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. D. Tocher. 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 K. D. Tocher. The network helps show where K. D. Tocher may publish in the future.

Co-authors

The 16 scholars most cited alongside K. D. Tocher, 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 K. D. Tocher Line = papers co-authored together K. D. Tocher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Statistical Theory of Extreme Values and Some Practical Applications.
Hit paper breakdown →
1955431
2 1953148
3 1952119
4 195878
5 196074
6 195432
7 196532
8 195427
9 200826
10 195325
11 197017
12 195216
13 195715
14 196114
15 195913
16 197612
17 196010
18 19778
19 19555
20 19635

About K. D. Tocher

K. D. Tocher is a scholar working on Management Science and Operations Research, Artificial Intelligence, Control and Systems Engineering, Software and Numerical Analysis, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Simulation Techniques and Applications (5 papers), Complex Systems and Decision Making (5 papers), Model-Driven Software Engineering Techniques (2 papers), Optimal Experimental Design Methods (2 papers), Numerical methods for differential equations (1 paper), Semantic Web and Ontologies (1 paper), Business Strategy and Innovation (1 paper) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Numerical Analysis (112 citations), Management Science and Operations Research (212 citations), Computational Theory and Mathematics (202 citations), Statistics and Probability (76 citations) and Statistics, Probability and Uncertainty (61 citations). K. D. Tocher has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include E. J. Gumbel, W. E. Milne, Marvin Marcus, David G. Owen, Phil Mellor, J. C. P. Miller, Simon French, W.N. JESSOP, Dimitris N. Chorafas and Willard H. Clatworthy. Their work appears in journals such as Journal of the Operational Research Society, Journal of Simulation, Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The Quarterly Journal of Mechanics and Applied Mathematics.

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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