Graeme Richards

932 total citations · 1 hit paper
10 papers, 561 citations indexed

About

Graeme Richards is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Graeme Richards has authored 10 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 8 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Graeme Richards's work include Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (4 papers) and Artificial Intelligence in Healthcare (2 papers). Graeme Richards is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (4 papers) and Artificial Intelligence in Healthcare (2 papers). Graeme Richards collaborates with scholars based in United Kingdom. Graeme Richards's co-authors include V. J. Rayward‐Smith, Beatriz de la Iglesia, Alan Reynolds, Peter H. Sönksen, C. Weng, Wenjia Wang, Susan Rea, Anthony Bagnall and Jon Hills and has published in prestigious journals such as European Journal of Operational Research, Artificial Intelligence in Medicine and Journal of Intelligent Information Systems.

In The Last Decade

Graeme Richards

10 papers receiving 531 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.

Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms

2006 401 citations Alan Reynolds, Graeme Richards et al. Journal of Mathematical Modelling and Algorithms profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Graeme Richards United Kingdom	7	154	116	78	53	35	10	561
Giovanna Menardi Italy	8	420 2.7×	97 0.8×	79 1.0×	59 1.1×	24 0.7×	24	1.0k
Beatriz de la Iglesia United Kingdom	16	353 2.3×	135 1.2×	102 1.3×	38 0.7×	81 2.3×	47	1.0k
Bogdan Popescu Romania	4	356 2.3×	46 0.4×	72 0.9×	18 0.3×	44 1.3×	10	788
Dimane Mpoeleng Botswana	7	194 1.3×	40 0.3×	52 0.7×	35 0.7×	14 0.4×	21	662
Stefan Coors Germany	6	200 1.3×	63 0.5×	35 0.4×	17 0.3×	37 1.1×	7	739
Martin Binder Germany	5	190 1.2×	69 0.6×	32 0.4×	15 0.3×	39 1.1×	10	693
Giuseppe Casalicchio Germany	9	180 1.2×	100 0.9×	25 0.3×	18 0.3×	29 0.8×	20	635
Luigi Ceccaroni Spain	15	173 1.1×	37 0.3×	142 1.8×	28 0.5×	11 0.3×	55	861
Evgenia Dimitriadou Austria	8	292 1.9×	120 1.0×	58 0.7×	9 0.2×	35 1.0×	14	925
Juan José del Coz Spain	18	523 3.4×	102 0.9×	128 1.6×	11 0.2×	28 0.8×	42	953

Countries citing papers authored by Graeme Richards

Since Specialization

Citations

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

Fields of papers citing papers by Graeme Richards

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graeme Richards

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

10 of 10 papers shown

1.

Hills, Jon, Anthony Bagnall, Beatriz de la Iglesia, & Graeme Richards. (2013). BruteSuppression: a size reduction method for Apriori rule sets. Journal of Intelligent Information Systems. 40(3). 431–454. 8 indexed citations

2.

Richards, Graeme & Wenjia Wang. (2012). What influences the accuracy of decision tree ensembles?. Journal of Intelligent Information Systems. 39(3). 627–650. 9 indexed citations

3.

Reynolds, Alan, Graeme Richards, Beatriz de la Iglesia, & V. J. Rayward‐Smith. (2006). Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms. Journal of Mathematical Modelling and Algorithms. 5(4). 475–504. 401 indexed citations breakdown →

4.

Richards, Graeme, et al.. (2006). Feature salience definition and estimation and its use in feature subset selection. Intelligent Data Analysis. 10(1). 3–21. 2 indexed citations

5.

Richards, Graeme, et al.. (2005). Hybrid Data Mining Ensemble for Predicting Osteoporosis Risk. PubMed. 13. 886–889. 14 indexed citations

6.

Richards, Graeme & V. J. Rayward‐Smith. (2005). The discovery of association rules from tabular databases comprising nominal and ordinal attributes. Intelligent Data Analysis. 9(3). 289–307. 5 indexed citations

7.

Richards, Graeme, et al.. (2005). A Fast Wrapper Method for Feature Subset Selection.. 54–59. 3 indexed citations

8.

Iglesia, Beatriz de la, et al.. (2004). The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification. European Journal of Operational Research. 169(3). 898–917. 29 indexed citations

9.

Richards, Graeme & V. J. Rayward‐Smith. (2002). Discovery of association rules in tabular data. UEA Digital Repository (University of East Anglia). 465–472. 8 indexed citations

10.

Richards, Graeme, et al.. (2001). Data mining for indicators of early mortality in a database of clinical records. Artificial Intelligence in Medicine. 22(3). 215–231. 82 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