George M. Coghill

1.1k total citations
74 papers, 601 citations indexed

About

George M. Coghill is a scholar working on Artificial Intelligence, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, George M. Coghill has authored 74 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 18 papers in Molecular Biology and 14 papers in Biomedical Engineering. Recurrent topics in George M. Coghill's work include AI-based Problem Solving and Planning (24 papers), Gene Regulatory Network Analysis (10 papers) and Semantic Web and Ontologies (8 papers). George M. Coghill is often cited by papers focused on AI-based Problem Solving and Planning (24 papers), Gene Regulatory Network Analysis (10 papers) and Semantic Web and Ontologies (8 papers). George M. Coghill collaborates with scholars based in United Kingdom, China and Malaysia. George M. Coghill's co-authors include Honghai Liu, David Lusseau, Francesca Mancini, Wei Pang, David Brown, Ross D. King, Qiang Shen, Simon Garrett, R.R. Leitch and Dave Barnes and has published in prestigious journals such as PLoS ONE, Tourism Management and IEEE Access.

In The Last Decade

George M. Coghill

71 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George M. Coghill United Kingdom	13	222	107	102	60	57	74	601
Gabriel Balan United States	7	171 0.8×	65 0.6×	50 0.5×	20 0.3×	120 2.1×	15	769
Pascale Kuntz France	16	204 0.9×	33 0.3×	30 0.3×	71 1.2×	44 0.8×	38	976
Sergiu M. Dascalu United States	14	183 0.8×	36 0.3×	23 0.2×	34 0.6×	39 0.7×	140	816
Min Zheng China	11	142 0.6×	53 0.5×	24 0.2×	27 0.5×	39 0.7×	29	586
Benjamin Rosman South Africa	15	367 1.7×	152 1.4×	11 0.1×	42 0.7×	32 0.6×	72	785
Nazmus Sakib Bangladesh	14	149 0.7×	27 0.3×	59 0.6×	49 0.8×	20 0.4×	80	515
Kamran Shafi Australia	16	370 1.7×	48 0.4×	49 0.5×	27 0.5×	23 0.4×	51	675
Anna Saranti Austria	12	413 1.9×	28 0.3×	63 0.6×	20 0.3×	18 0.3×	27	790
Adam C. Winstanley Ireland	16	142 0.6×	30 0.3×	19 0.2×	23 0.4×	29 0.5×	68	1.1k
Paul Richmond United Kingdom	13	56 0.3×	44 0.4×	70 0.7×	49 0.8×	14 0.2×	57	555

Countries citing papers authored by George M. Coghill

Since Specialization

Citations

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

Fields of papers citing papers by George M. Coghill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George M. Coghill. 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 George M. Coghill. The network helps show where George M. Coghill may publish in the future.

Co-authorship network of co-authors of George M. Coghill

This figure shows the co-authorship network connecting the top 25 collaborators of George M. Coghill. A scholar is included among the top collaborators of George M. Coghill 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 George M. Coghill. George M. Coghill 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

Coghill, George M.. (2023). Artificial Intelligence (and Christianity): Who? What? Where? When? Why? and How?. Studies in Christian Ethics. 36(3). 604–619. 6 indexed citations

Pang, Wei, et al.. (2020). Inferring structure and parameters of dynamic system models simultaneously using swarm intelligence approaches. Memetic Computing. 12(3). 267–282. 6 indexed citations

Pang, Wei, et al.. (2019). A Hexagonal Cell Automaton Model to Imitate Physarum Polycephalum Competitive Behaviour. Aberdeen University Research Archive (Aberdeen University). 203–210. 1 indexed citations

Pang, Wei & George M. Coghill. (2014). An immune network approach to learning qualitative models of biological pathways. Aberdeen University Research Archive (Aberdeen University). 3102. 1030–1037. 1 indexed citations

Pang, Wei, et al.. (2014). An integrative top-down and bottom-up qualitative model construction framework for exploration of biochemical systems. Soft Computing. 19(6). 1595–1610. 4 indexed citations

McCall, John, et al.. (2013). Exploring aspects of cell intelligence with artificial reaction networks. Soft Computing. 18(10). 1899–1912. 6 indexed citations

Pang, Wei & George M. Coghill. (2013). An Immune Network Approach to Qualitative System Identification of Biological Pathways. 77–84. 1 indexed citations

Coghill, George M., et al.. (2011). Diagnosis via qualitative parameter estimation.

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

10.

Pang, Wei & George M. Coghill. (2011). A fast opt-AINet approach to qualitative model learning with a modified mutation operator.. 2 indexed citations

11.

You, Tao, George M. Coghill, & Alistair J. P. Brown. (2010). A quantitative model for mRNA translation in Saccharomyces cerevisiae. Yeast. 27(10). 785–800. 13 indexed citations

12.

Pang, Wei & George M. Coghill. (2010). An immune-inspired approach to qualitative system identification of biological pathways. Natural Computing. 10(1). 189–207. 8 indexed citations

13.

Liu, Honghai, George M. Coghill, & David Brown. (2007). Qualitative kinematics of planar robots: Intelligent connection. International Journal of Approximate Reasoning. 46(3). 525–541. 10 indexed citations

14.

Khoury, Mehdi, Frank Guérin, & George M. Coghill. (2007). Learning dynamic models of compartment systems by combining symbolic regression with fuzzy vector envisionment. 2769–2776. 2 indexed citations

15.

Pang, Wei & George M. Coghill. (2006). Evolutionary approaches for learning qualitative compartment metabolic models. 11–16. 1 indexed citations

16.

King, Ross D., Simon Garrett, & George M. Coghill. (2005). On the use of qualitative reasoning to simulate and identify metabolic pathways. Computer applications in the biosciences. 21(9). 2017–2026. 36 indexed citations

17.

Liu, Honghai & George M. Coghill. (2004). Qualitative modelling of planar robots. European Conference on Artificial Intelligence. 137(3). 1051–1052. 2 indexed citations

18.

Coghill, George M., Simon Garrett, & Ross D. King. (2004). Learning qualitative metabolic models. European Conference on Artificial Intelligence. 445–449. 12 indexed citations

19.

Coghill, George M. & Qiang Shen. (2001). On the specification of multiple models for diagnosis of dynamic systems. AI Communications. 14(2). 93–104. 5 indexed citations

20.

Leitch, R.R., et al.. (1970). Qualitative model based diagnosis of a continuous process. WIT transactions on information and communication technologies. 1. 291–309. 6 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.

Explore authors with similar magnitude of impact