Richard Kyle MacKinnon

502 citations
13 papers · 283 indexed · h-index 10
Topics
Data Mining Algorithms and Applications (11 papers)Data Management and Algorithms (8 papers)Rough Sets and Fuzzy Logic (6 papers)
Partner nations
CanadaItaly

In The Last Decade

Richard Kyle MacKinnon

13 papers receiving 271 citations

Peers

Richard Kyle MacKinnon
Comparison fields: 5 of 42
  • Information Systems 152
  • Artificial Intelligence 116
  • Signal Processing 87
  • Management Science and Operations Research 66
  • Computational Theory and Mathematics 48
Replace Adam G.M. Pazdor with:
Adam G.M. Pazdor Canada
Douglas Burdick United States
Chedy Raïssi France
Xiaoying Wu China
Md. Samiullah Bangladesh
Jianhan Zhu United Kingdom
Vasudha Bhatnagar India
Vito Claudio Ostuni Italy
Ali Mamat Malaysia
Robert Meusel Germany
Richard Kyle MacKinnon relative to Adam G.M. Pazdor Canada Adam G.M. Pazdor's profile →
Citations per field
00.5×2.9×
Adam G.M. Pazdor · 1×
Citations per year

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
#WorkIndexed citations
1 13
2 11
3 19
4 1
5 9
6 5
7 5
8 39
9 12
10 44
11 65
12 11
13 49

About Richard Kyle MacKinnon

Richard Kyle MacKinnon is a scholar working on Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 13 papers that have together received 283 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (11 papers), Data Management and Algorithms (8 papers) and Rough Sets and Fuzzy Logic (6 papers). The work is most often cited by research in Signal Processing (87 citations), Information Systems (152 citations) and Management Science and Operations Research (66 citations). Richard Kyle MacKinnon has collaborated with scholars based in Canada and Italy. Frequent co-authors include Carson K. Leung, Fan Jiang, Yan Wang, Alfredo Cuzzocrea, Syed Khairuzzaman Tanbeer and Peter Braun. Their work appears in journals such as Future Generation Computer Systems, World Wide Web and International Journal of Knowledge-based and Intelligent Engineering Systems.

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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