Richard Kyle MacKinnon

502 total citations
13 papers, 283 citations indexed

About

Richard Kyle MacKinnon is a scholar working on Information Systems, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Richard Kyle MacKinnon has authored 13 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 9 papers in Signal Processing and 6 papers in Computational Theory and Mathematics. Recurrent topics in Richard Kyle MacKinnon's work include Data Mining Algorithms and Applications (11 papers), Data Management and Algorithms (8 papers) and Rough Sets and Fuzzy Logic (6 papers). Richard Kyle MacKinnon is often cited by papers focused on Data Mining Algorithms and Applications (11 papers), Data Management and Algorithms (8 papers) and Rough Sets and Fuzzy Logic (6 papers). Richard Kyle MacKinnon collaborates with scholars based in Canada and Italy. Richard Kyle MacKinnon's co-authors include Carson K. Leung, Fan Jiang, Yan Wang, Alfredo Cuzzocrea, Syed Khairuzzaman Tanbeer and Peter Braun and has published in prestigious journals such as Future Generation Computer Systems, World Wide Web and International Journal of Knowledge-based and Intelligent Engineering Systems.

In The Last Decade

Richard Kyle MacKinnon

13 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Kyle MacKinnon Canada 10 152 116 87 66 48 13 283
Adam G.M. Pazdor Canada 11 142 0.9× 174 1.5× 69 0.8× 38 0.6× 26 0.5× 35 317
Md. Samiullah Bangladesh 10 186 1.2× 125 1.1× 126 1.4× 13 0.2× 85 1.8× 27 308
Katerina Potika United States 10 76 0.5× 73 0.6× 35 0.4× 30 0.5× 8 0.2× 41 211
Yantao Jia China 14 169 1.1× 508 4.4× 47 0.5× 84 1.3× 11 0.2× 40 649
Steve Chien United States 8 155 1.0× 119 1.0× 82 0.9× 117 1.8× 61 1.3× 12 432
Sam Yuan Sung Singapore 10 97 0.6× 158 1.4× 65 0.7× 18 0.3× 52 1.1× 36 287
Vasudha Bhatnagar India 12 198 1.3× 287 2.5× 40 0.5× 14 0.2× 20 0.4× 38 472
Silviu Maniu France 10 68 0.4× 185 1.6× 72 0.8× 43 0.7× 19 0.4× 20 335
Chedy Raïssi France 12 163 1.1× 186 1.6× 98 1.1× 23 0.3× 89 1.9× 29 361
Gordon Sun United States 12 301 2.0× 422 3.6× 77 0.9× 74 1.1× 17 0.4× 18 614

Countries citing papers authored by Richard Kyle MacKinnon

Since Specialization
Citations

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

Fields of papers citing papers by Richard Kyle MacKinnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard Kyle MacKinnon. 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 Richard Kyle MacKinnon. The network helps show where Richard Kyle MacKinnon may publish in the future.

Co-authorship network of co-authors of Richard Kyle MacKinnon

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

All Works

13 of 13 papers shown
1.
Leung, Carson K., Richard Kyle MacKinnon, & Fan Jiang. (2016). Finding efficiencies in frequent pattern mining from big uncertain data. World Wide Web. 20(3). 571–594. 11 indexed citations
2.
Leung, Carson K., Syed Khairuzzaman Tanbeer, Alfredo Cuzzocrea, Peter Braun, & Richard Kyle MacKinnon. (2016). Interactive mining of diverse social entities. International Journal of Knowledge-based and Intelligent Engineering Systems. 20(2). 97–111. 13 indexed citations
3.
MacKinnon, Richard Kyle & Carson K. Leung. (2015). Stock Price Prediction in Undirected Graphs Using a Structural Support Vector Machine. 6. 548–555. 19 indexed citations
4.
Cuzzocrea, Alfredo, Carson K. Leung, & Richard Kyle MacKinnon. (2015). Approximation to Expected Support of Frequent Itemsets in Mining Probabilistic Sets of Uncertain Data. Procedia Computer Science. 60. 613–622. 1 indexed citations
5.
MacKinnon, Richard Kyle, et al.. (2014). DISC: Efficient Uncertain Frequent Pattern Mining with Tightened Upper Bounds. 1. 1038–1045. 9 indexed citations
6.
Braun, Peter, Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon, & Syed Khairuzzaman Tanbeer. (2014). A Tree-based Algorithm for Mining Diverse Social Entities. Procedia Computer Science. 35. 223–232. 5 indexed citations
7.
Leung, Carson K., Richard Kyle MacKinnon, & Fan Jiang. (2014). Distributed Uncertain Data Mining for Frequent Patterns Satisfying Anti-monotonic Constraints. 1–6. 5 indexed citations
8.
Leung, Carson K. & Richard Kyle MacKinnon. (2014). Fast Algorithms for Frequent Itemset Mining from Uncertain Data. 893–898. 39 indexed citations
9.
Leung, Carson K., Richard Kyle MacKinnon, & Yan Wang. (2014). A machine learning approach for stock price prediction. 274–277. 65 indexed citations
10.
Leung, Carson K., Richard Kyle MacKinnon, & Syed Khairuzzaman Tanbeer. (2014). Tightening Upper Bounds to the Expected Support for Uncertain Frequent Pattern Mining. Procedia Computer Science. 35. 328–337. 12 indexed citations
11.
Leung, Carson K., Richard Kyle MacKinnon, & Fan Jiang. (2014). Reducing the Search Space for Big Data Mining for Interesting Patterns from Uncertain Data. 315–322. 44 indexed citations
12.
Tanbeer, Syed Khairuzzaman, et al.. (2013). Finding groups of friends who are significant across multiple domains in social networks. 21–26. 11 indexed citations
13.
Cuzzocrea, Alfredo, Carson K. Leung, & Richard Kyle MacKinnon. (2013). Mining constrained frequent itemsets from distributed uncertain data. Future Generation Computer Systems. 37. 117–126. 49 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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