Leonard E. Trigg

1.8k total citations
5 papers, 683 citations indexed

About

Leonard E. Trigg is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Leonard E. Trigg has authored 5 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Signal Processing. Recurrent topics in Leonard E. Trigg's work include Machine Learning and Data Classification (3 papers), Data Mining Algorithms and Applications (3 papers) and Bayesian Modeling and Causal Inference (2 papers). Leonard E. Trigg is often cited by papers focused on Machine Learning and Data Classification (3 papers), Data Mining Algorithms and Applications (3 papers) and Bayesian Modeling and Causal Inference (2 papers). Leonard E. Trigg collaborates with scholars based in New Zealand. Leonard E. Trigg's co-authors include Eibe Frank, Geoffrey Holmes, Ian H. Witten, Mark A. Hall, Sally Jo Cunningham, John G. Cleary, Stuart J. Inglis, Mark Utting and Sean A. Irvine and has published in prestigious journals such as Machine Learning, Research Commons (University of Waikato) and Research Commons (The University of Waikato).

In The Last Decade

Leonard E. Trigg

5 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leonard E. Trigg New Zealand	4	315	193	90	87	74	5	683
Dharmender Kumar India	14	269 0.9×	94 0.5×	109 1.2×	41 0.5×	26 0.4×	66	832
Kevin Thompson United States	4	567 1.8×	238 1.2×	79 0.9×	98 1.1×	18 0.2×	7	845
Panayiotis Pintelas Greece	5	426 1.4×	109 0.6×	59 0.7×	38 0.4×	14 0.2×	7	702
George Almpanidis China	9	266 0.8×	134 0.7×	50 0.6×	80 0.9×	12 0.2×	14	607
Selma Ayşe Özel Türkiye	15	700 2.2×	216 1.1×	64 0.7×	80 0.9×	17 0.2×	49	938
Stuart J. Inglis New Zealand	7	166 0.5×	96 0.5×	33 0.4×	44 0.5×	50 0.7×	14	467
Shamila Nasreen Pakistan	6	377 1.2×	92 0.5×	93 1.0×	92 1.1×	14 0.2×	7	877
Hao Yang China	14	794 2.5×	232 1.2×	172 1.9×	66 0.8×	27 0.4×	90	1.1k
Márcio P. Basgalupp Brazil	14	452 1.4×	213 1.1×	34 0.4×	19 0.2×	56 0.8×	45	696

Countries citing papers authored by Leonard E. Trigg

Since Specialization

Citations

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

Fields of papers citing papers by Leonard E. Trigg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard E. Trigg. 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 Leonard E. Trigg. The network helps show where Leonard E. Trigg may publish in the future.

Co-authorship network of co-authors of Leonard E. Trigg

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard E. Trigg. A scholar is included among the top collaborators of Leonard E. Trigg 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 Leonard E. Trigg. Leonard E. Trigg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Irvine, Sean A., et al.. (2007). Jumble Java Byte Code to Measure the Effectiveness of Unit Tests. Research Commons (University of Waikato). 169–175. 48 indexed citations

2.

Frank, Eibe, Leonard E. Trigg, Geoffrey Holmes, & Ian H. Witten. (2000). Technical Note: Naive Bayes for Regression. Machine Learning. 41(1). 5–25. 161 indexed citations

3.

Witten, Ian H., Eibe Frank, Leonard E. Trigg, et al.. (1999). Weka: Practical machine learning tools and techniques with Java implementations. Research Commons (The University of Waikato). 421 indexed citations

4.

Trigg, Leonard E.. (1998). An entropy gain measure of numeric prediction performance. Research Commons (University of Waikato). 10(11). 881–2. 2 indexed citations

5.

Frank, Eibe, Leonard E. Trigg, Geoffrey Holmes, & Ian H. Witten. (1998). Naive Bayes for regression. Research Commons (University of Waikato). 51 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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