John MacIntyre

887 citations
65 papers · 697 · h-index 15

Impact in

Papers in

John MacIntyre

62 papers receiving 633 citations

Peers

John MacIntyre
Comparison fields: 5 of 116
  • Medical Laboratory Technology 17
  • Artificial Intelligence 341
  • Health Informatics 12
  • Computational Theory and Mathematics 84
  • Control and Systems Engineering 88
Replace Christopher Irgens with:
Christopher Irgens United Kingdom
Daniele Apiletti Italy
Alican Doğan Türkiye
Vijender Kumar Solanki India
Pankaj Bhambri India
Humaira Ashraf Pakistan
Adrian R. Pearce Australia
Aniekan Essien United Kingdom
Adam Berry Australia
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Citations per field
00.5×4.7×
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Citations per year

Countries citing papers authored by John MacIntyre

Since Specialization
Citations

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

Fields of papers citing papers by John MacIntyre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John MacIntyre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John MacIntyre Line = papers co-authored together John MacIntyre links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002114
2
Hybrid neural systems: from simple coupling to fully integrated neural networks
199982
3 200342
4 202125
5 200125
6 200625
7 199824
8
A multi-objective genetic algorithm approach to feature selection in neural and fuzzy modeling
200122
9 201918
10 202116
11 200316
12 201915
13
Knowledge extraction from local function networks
200114
14 202214
15 202014
16 201313
17 199910
18 199910
19 202110
20 20199

About John MacIntyre

John MacIntyre is a scholar working on Artificial Intelligence, Control and Systems Engineering, Automotive Engineering, Civil and Structural Engineering and Management Information Systems, having authored 65 papers that have together received 697 indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Fuzzy Logic and Control Systems (12 papers), Fault Detection and Control Systems (10 papers), Machine Fault Diagnosis Techniques (6 papers), Vehicle Dynamics and Control Systems (6 papers), Quality and Supply Management (6 papers), Rough Sets and Fuzzy Logic (4 papers) and Transportation Safety and Impact Analysis (4 papers). The work is most often cited by research in Medical Laboratory Technology (17 citations), Artificial Intelligence (341 citations), Health Informatics (12 citations), Computational Theory and Mathematics (84 citations) and Control and Systems Engineering (88 citations). John MacIntyre has collaborated with scholars based in United Kingdom, Greece and Egypt. Frequent co-authors include Kenneth McGarry, Christos Emmanouilidis, Stefan Wermter, Andrew Hunter, Ilias Maglogiannis, Lazaros Iliadis, Ahmed Elmarakbi, C.S. Cox, Erkki Jantunen and Elias Pimenidis. Their work appears in journals such as Neural Computing and Applications, Journal of Quality in Maintenance Engineering, Blood, Computers in Industry and Knowledge-Based 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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