John McCall

7.3k citations
212 papers · 4.9k · 1 hit paper · h-index 36

Impact in

Papers in

    • Metaheuristic Optimization Algorithms Research 26
    • Evolutionary Algorithms and Applications 21
    • Bayesian Modeling and Causal Inference 15
    • Machine Learning and Data Classification 7
    • Trace Elements in Health 28

John McCall

192 papers receiving 4.4k citations

John McCall's Hit Papers

Genetic algorithms for modelling and optimisation 2005 · 685 citations
6850+7+14Years since publication200400600

Peers

John McCall
Comparison fields: 5 of 209
  • Nutrition and Dietetics 1.3k
  • Hepatology 528
  • Health, Toxicology and Mutagenesis 566
  • Animal Science and Zoology 248
  • Artificial Intelligence 763
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Citations per year

Countries citing papers authored by John McCall

Since Specialization
Citations

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

Fields of papers citing papers by John McCall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic algorithms for modelling and optimisation
Hit paper breakdown →
2005685
2 1981248
3 1980172
4 1982169
5 1985142
6 2013135
7 1987134
8 1983123
9 1985121
10 1974101
11 198384
12 198071
13
Serum and urinary silver levels in thermal injury patients.
198771
14 198268
15 198564
16 197463
17 197861
18 198260
19
The liver in the inherited copper disease of Bedlington terriers.
198058
20
Effect of D-penicillamine on copper retention in patients with primary billiary cirrhosis.
197755

About John McCall

John McCall is a scholar working on Artificial Intelligence, Nutrition and Dietetics, Computational Theory and Mathematics, Animal Science and Zoology and Management Science and Operations Research, having authored 212 papers that have together received 4.9k indexed citations. Recurring topics across this work include Trace Elements in Health (28 papers), Metaheuristic Optimization Algorithms Research (26 papers), Evolutionary Algorithms and Applications (21 papers), Advanced Multi-Objective Optimization Algorithms (20 papers), Bayesian Modeling and Causal Inference (15 papers), Animal Nutrition and Physiology (15 papers), Heavy Metal Exposure and Toxicity (10 papers) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Nutrition and Dietetics (1.3k citations), Hepatology (528 citations), Health, Toxicology and Mutagenesis (566 citations), Animal Science and Zoology (248 citations) and Artificial Intelligence (763 citations). John McCall has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include C. Richard Fleming, Jürgen Ludwig, E. Rolland Dickson, Nicholas F. LaRusso, Andrei Petrovski, Russell H. Wiesner, Jacques Versieck, Archie H. Baggenstoss, Siddhartha Shakya and Lila R. Elveback. Their work appears in journals such as Journal of Animal Science, Gastroenterology, Cancer Epidemiology Biomarkers & Prevention, Poultry Science and Journal of Nutrition.

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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