John McCall

7.3k total citations · 1 hit paper
212 papers, 4.9k citations indexed

About

John McCall is a scholar working on Artificial Intelligence, Nutrition and Dietetics and Computational Theory and Mathematics. According to data from OpenAlex, John McCall has authored 212 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 34 papers in Nutrition and Dietetics and 21 papers in Computational Theory and Mathematics. Recurrent topics in John McCall's work include Trace Elements in Health (28 papers), Metaheuristic Optimization Algorithms Research (26 papers) and Evolutionary Algorithms and Applications (21 papers). John McCall is often cited by papers focused on Trace Elements in Health (28 papers), Metaheuristic Optimization Algorithms Research (26 papers) and Evolutionary Algorithms and Applications (21 papers). John McCall collaborates with scholars based in United Kingdom, United States and Australia. John McCall's 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 and has published in prestigious journals such as New England Journal of Medicine, Circulation and Gastroenterology.

In The Last Decade

John McCall

192 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genetic algorithms for modelling and optimisation

2005 685 citations John McCall profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John McCall United Kingdom	36	1.3k	763	566	528	520	212	4.9k
Pei‐Chun Chen Taiwan	46	509 0.4×	169 0.2×	422 0.7×	200 0.4×	1.0k 2.0×	273	6.9k
Chih‐Cheng Chen Taiwan	48	508 0.4×	111 0.1×	697 1.2×	177 0.3×	894 1.7×	394	8.7k
Jin Hee Kim South Korea	50	355 0.3×	482 0.6×	1.4k 2.5×	74 0.1×	844 1.6×	389	10.1k
Weidong Liu China	48	272 0.2×	725 1.0×	159 0.3×	137 0.3×	652 1.3×	498	11.6k
Hui Lin China	39	234 0.2×	1.1k 1.4×	395 0.7×	766 1.5×	2.0k 3.9×	150	7.3k
Lifeng Wang China	37	308 0.2×	1.5k 1.9×	66 0.1×	475 0.9×	993 1.9×	172	10.0k
Lü Tian United States	67	433 0.3×	403 0.5×	208 0.4×	234 0.4×	1.4k 2.6×	619	17.6k
Shashank Joshi India	45	513 0.4×	155 0.2×	91 0.2×	160 0.3×	1.6k 3.0×	428	10.0k
Guy Brock United States	39	125 0.1×	211 0.3×	366 0.6×	555 1.1×	968 1.9×	236	5.6k
Zhongheng Zhang China	42	219 0.2×	723 0.9×	211 0.4×	115 0.2×	2.1k 4.1×	222	8.2k

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-authorship network of co-authors of John McCall

This figure shows the co-authorship network connecting the top 25 collaborators of John McCall. A scholar is included among the top collaborators of John McCall 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 John McCall. John McCall 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:

20 of 20 papers shown

Bacardit, Jaume, Alexander E. I. Brownlee, Stefano Cagnoni, et al.. (2024). Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems. IEEE Transactions on Evolutionary Computation. 29(5). 2213–2228. 6 indexed citations

Brownlee, Alexander E. I., et al.. (2024). Mining Potentially Explanatory Patterns via Partial Solutions. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 567–570. 1 indexed citations

Asiedu, Gladys B., Mary Ellen Young, Folakemi T. Odedina, et al.. (2024). Abstract 1310: Social determinants of migrant health factors impacting prostate cancer care and survivorship among sub-Saharan African immigrant men diagnosed with prostate cancer. Cancer Research. 84(6_Supplement). 1310–1310. 1 indexed citations

Nguyen, Tien Thanh, et al.. (2024). Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation. Cognitive Computation. 16(3). 1141–1160. 24 indexed citations

Rotimi, Solomon O., Folakemi T. Odedina, Roxana Dronca, et al.. (2023). Abstract A045: Investigating the biological determinants of poor mental health among ethnically diverse Black prostate cancer survivors: An iCCaRE consortium for prostate cancer in Black men project. Cancer Epidemiology Biomarkers & Prevention. 32(1_Supplement). A045–A045.

Odedina, Folakemi T., Roxana Dronca, Kimlin Ashing, et al.. (2023). Abstract A042: Addressing prostate cancer disparities through the Inclusive Cancer Care Research Equity (iCCaRE) for Black men consortium. Cancer Epidemiology Biomarkers & Prevention. 32(1_Supplement). A042–A042.

Nguyen, Tien Thanh, et al.. (2020). WEC: Weighted Ensemble of Text Classifiers. Open Access Institutional Repository at Robert Gordon University (Robert Gordon University). 1–8. 2 indexed citations

McCall, John. (2011). Business and Corporate Ethics after Auschwitz. Journal of ecumenical studies. 46(4). 520.

McCall, John, et al.. (2011). Artificial reaction networks. Open Access Institutional Repository at Robert Gordon University (Robert Gordon University). 5 indexed citations

10.

Porth, Stephen J. & John McCall. (2001). Contemporary Management Theories and Catholic Social Teaching: Similarities and Differences. 22(3). 8. 9 indexed citations

11.

Garmendia-Doval, A. Beatriz, et al.. (2001). Markov random field modelling of royal road genetic algorithms.

12.

McCall, John. (1996). Statistics : a guide for therapists. Butterworth-Heinemann eBooks.

13.

Boosalis, Maria G., Lynn D. Solem, John McCall, David H. Ahrenholz, & Craig J. McClain. (1988). Serum zinc response in thermal injury.. Journal of the American College of Nutrition. 7(1). 69–76. 34 indexed citations

14.

Versieck, Jacques & John McCall. (1985). Trace Elements in Human Body Fluids and Tissues. CRC Critical Reviews in Clinical Laboratory Sciences. 22(2). 97–184. 142 indexed citations

15.

Carlson, Gerald, et al.. (1979). Fate of oral neutralizing antacid and its effect on postprandial gastric secretion and emptying.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 77(5). 986–90. 16 indexed citations

16.

Hays, V. W., et al.. (1966). Effect of Dietary Fat, Protein and Cholesterol on Atherosclerosis in Swine. Journal of Nutrition. 90(2). 183–190. 14 indexed citations

17.

Connell, Alastair M., et al.. (1963). Obsevations on the Clinical Use of Radio Pills. BMJ. 2(5360). 771–774. 31 indexed citations

18.

McCall, John, et al.. (1961). Effect of Source and Level of Dietary Protein on the Toxicity of Zinc to the Rat. Journal of Nutrition. 74(1). 51–57. 15 indexed citations

19.

McCall, John & George K. Davis. (1961). Effect of Dietary Protein and Zinc on the Absorption and Liver Deposition of Radioactive and Total Copper. Journal of Nutrition. 74(1). 45–50. 19 indexed citations

20.

Shirley, R. L., et al.. (1954). Placental Transfer of Mo99 and Ca45 in Swine. Journal of Nutrition. 54(1). 59–64. 8 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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