D. J. Mclaughlin
Impact in
Papers in
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- Biosensors and Analytical Detection 3
- Microfluidic and Bio-sensing Technologies 1
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- Data Stream Mining Techniques 2
- Anomaly Detection Techniques and Applications 1
- Co-authors
- James McLaughlin (4 shared papers)Dewar Finlay (4 shared papers)Santhosh Kumar Medishetti (1 shared paper)Sara McNamee (3 shared papers)Brian Mac Namee (3 shared papers)David A. Steele (3 shared papers)Patrick J. Cullen (2 shared papers)Raymond Bond (1 shared paper)
- Journals
- IEEE Journal of Translational Engineering in Health and Medicine (1 paper)Ulster University Research Portal (Ulster University) (1 paper)Computing in cardiology (1 paper)Research Repository UCD (University College Dublin) (1 paper)
- Partner nations
- United KingdomIrelandSwitzerland
In The Last Decade
D. J. Mclaughlin
5 papers receiving 31 citations
Peers
Comparison fields: 5 of 24
- Computational Mathematics 1
- Health Informatics 2
- Information Systems 15
- Computer Networks and Communications 15
- Business and International Management 1
Countries citing papers authored by D. J. Mclaughlin
This map shows the geographic impact of D. J. Mclaughlin'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 D. J. Mclaughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. J. Mclaughlin more than expected).
Fields of papers citing papers by D. J. Mclaughlin
This network shows the impact of papers produced by D. J. Mclaughlin. 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 D. J. Mclaughlin. The network helps show where D. J. Mclaughlin may publish in the future.
Co-authors
The 10 scholars most cited alongside D. J. Mclaughlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 16 | |
| 2 | 2021 | 13 | |
| 3 | 2020 | 4 | |
| 4 | 2019 | 3 | |
| 5 | 2020 | 2 |
About D. J. Mclaughlin
D. J. Mclaughlin is a scholar working on Biomedical Engineering, Artificial Intelligence, Molecular Biology, Cardiology and Cardiovascular Medicine and Information Systems, having authored 5 papers that have together received 38 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (3 papers), Data Stream Mining Techniques (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Cloud Computing and Resource Management (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Anomaly Detection Techniques and Applications (1 paper), Sepsis Diagnosis and Treatment (1 paper) and ECG Monitoring and Analysis (1 paper). The work is most often cited by research in Computational Mathematics (1 citation), Health Informatics (2 citations), Information Systems (15 citations), Computer Networks and Communications (15 citations) and Business and International Management (1 citation). D. J. Mclaughlin has collaborated with scholars based in United Kingdom, Ireland and Switzerland. Frequent co-authors include James McLaughlin, Dewar Finlay, Santhosh Kumar Medishetti, Sara McNamee, Brian Mac Namee, David A. Steele, Patrick J. Cullen, Raymond Bond, Kok Yew Ng and Alan R. Kennedy. Their work appears in journals such as IEEE Journal of Translational Engineering in Health and Medicine, Ulster University Research Portal (Ulster University), Computing in cardiology and Research Repository UCD (University College Dublin).
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.