John MacIntyre

884 total citations
57 papers, 556 citations indexed

About

John MacIntyre is a scholar working on Artificial Intelligence, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, John MacIntyre has authored 57 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Control and Systems Engineering and 6 papers in Automotive Engineering. Recurrent topics in John MacIntyre's work include Neural Networks and Applications (13 papers), Fuzzy Logic and Control Systems (11 papers) and Fault Detection and Control Systems (9 papers). John MacIntyre is often cited by papers focused on Neural Networks and Applications (13 papers), Fuzzy Logic and Control Systems (11 papers) and Fault Detection and Control Systems (9 papers). John MacIntyre collaborates with scholars based in United Kingdom, Greece and Egypt. John MacIntyre's co-authors include Kenneth McGarry, Stefan Wermter, Christos Emmanouilidis, Andrew Hunter, Lazaros Iliadis, Ilias Maglogiannis, Ahmed Elmarakbi, C.S. Cox, Elias Pimenidis and Erkki Jantunen and has published in prestigious journals such as Blood, Knowledge-Based Systems and Neural Computing and Applications.

In The Last Decade

John MacIntyre

55 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John MacIntyre United Kingdom 13 267 72 72 55 50 57 556
Saptarshi Sengupta United States 10 206 0.8× 75 1.0× 55 0.8× 70 1.3× 37 0.7× 29 588
Daqing Wu China 6 123 0.5× 103 1.4× 54 0.8× 40 0.7× 52 1.0× 11 400
Esra’a Alkafaween Jordan 7 118 0.4× 57 0.8× 46 0.6× 54 1.0× 43 0.9× 9 499
Chao-Lung Yang Taiwan 13 207 0.8× 61 0.8× 31 0.4× 122 2.2× 29 0.6× 56 615
Praveen Kumar Tripathi India 7 258 1.0× 99 1.4× 176 2.4× 43 0.8× 38 0.8× 27 582
Juxia Xiong China 6 118 0.4× 96 1.3× 53 0.7× 38 0.7× 47 0.9× 16 387
Devinder Kaur United States 13 211 0.8× 45 0.6× 24 0.3× 74 1.3× 23 0.5× 49 508
Daqing Wu China 11 150 0.6× 70 1.0× 41 0.6× 40 0.7× 39 0.8× 21 466
Raj Subbu United States 13 274 1.0× 97 1.3× 159 2.2× 30 0.5× 43 0.9× 36 587
Laura I. Burke United States 13 246 0.9× 68 0.9× 34 0.5× 44 0.8× 91 1.8× 21 706

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-authorship network of co-authors of John MacIntyre

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

All Works

20 of 20 papers shown
1.
Maglogiannis, Ilias, Lazaros Iliadis, John MacIntyre, & Manuel Domí­nguez. (2023). Artificial Intelligence Applications and Innovations. IFIP advances in information and communication technology. 7 indexed citations
2.
Maglogiannis, Ilias, Lazaros Iliadis, John MacIntyre, & Manuel Domí­nguez. (2023). Artificial Intelligence Applications and Innovations. IFIP advances in information and communication technology. 5 indexed citations
3.
Maglogiannis, Ilias, John MacIntyre, & Lazaros Iliadis. (2021). Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops. IFIP advances in information and communication technology. 8 indexed citations
4.
MacIntyre, John, et al.. (2019). Engineering Applications of Neural Networks. Communications in computer and information science. 9 indexed citations
5.
MacIntyre, John, Ilias Maglogiannis, Lazaros Iliadis, & Elias Pimenidis. (2019). Artificial Intelligence Applications and Innovations. IFIP advances in information and communication technology. 17 indexed citations
6.
Haran, Martin, et al.. (2019). CREATING A more effective and sustainable housing development model FOR NORTHERN IRELAND. Ulster University Research Portal (Ulster University). 2 indexed citations
7.
Elmarakbi, Ahmed, et al.. (2015). Integration of vehicle dynamics control systems with an extendable bumper for collision mitigation. International Journal of Automotive and Mechanical Engineering. 12. 2893–2913. 8 indexed citations
8.
MacIntyre, John. (2013). Applications of neural computing in the twenty-first century and 21 years of Neural Computing & Applications. Neural Computing and Applications. 23(3-4). 657–665. 9 indexed citations
9.
MacIntyre, John, et al.. (2013). The inhibitors and enablers of maintenance and manufacturing strategy: a cross-case analysis. International Journal of Systems Assurance Engineering and Management. 5(1). 107–117. 3 indexed citations
10.
Elmarakbi, Ahmed, et al.. (2013). Numerical analysis of vehicle-to-vehicle impact using vehicle dynamics control systems for collision mitigation. International Journal of Dynamics and Control. 1(2). 172–191. 6 indexed citations
11.
MacIntyre, John, et al.. (2013). Towards a Simpler Selection Process for Maintenance Strategies. International Journal of Business and Management. 8(6). 1 indexed citations
12.
Elmarakbi, Ahmed, et al.. (2012). The influence of a vehicle dynamics control system on the occupant’s dynamic response during a vehicle collision. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 226(11). 1454–1471. 5 indexed citations
13.
Emmanouilidis, Christos, Erkki Jantunen, & John MacIntyre. (2006). Flexible software for condition monitoring, incorporating novelty detection and diagnostics. Computers in Industry. 57(6). 516–527. 18 indexed citations
14.
Wermter, Stefan, et al.. (2002). Methods for Integrating Memory into Neural Networks Applied to Condition Monitoring. Terapevticheskii arkhiv. 77(7). 5–11. 3 indexed citations
15.
McGarry, Kenneth, et al.. (2002). Integrating RBF networks with domain knowledge. 3. 1902–1907. 2 indexed citations
16.
McGarry, Kenneth, Stefan Wermter, & John MacIntyre. (2001). Knowledge extraction from local function networks. International Joint Conference on Artificial Intelligence. 765–770. 11 indexed citations
17.
MacIntyre, John, et al.. (1999). Improved classification for a data fusing Kohonen self organizing map using a dynamic thresholding technique. International Joint Conference on Artificial Intelligence. 828–832. 5 indexed citations
18.
MacIntyre, John, et al.. (1999). Adaptive Fusion Devices for Condition Monitoring: Local Fusion Systems of the NEURAL-MAINE Project. Key engineering materials. 167-168. 205–216. 4 indexed citations
19.
McGarry, Kenneth & John MacIntyre. (1999). Hybrid diagnostic system based upon simulation and artificial intelligence. Sunderland Repository (University of Sunderland). 2 indexed citations
20.
MacIntyre, John, Peter Smith, & John Tait. (1994). Determination of machine condition using neural networks. National Conference on Artificial Intelligence. 1472–1472. 1 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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