D. J. Mclaughlin

3.2k total citations
5 papers, 38 citations indexed

About

D. J. Mclaughlin is a scholar working on Biomedical Engineering, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, D. J. Mclaughlin has authored 5 papers receiving a total of 38 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biomedical Engineering, 2 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in D. J. Mclaughlin's work include Biosensors and Analytical Detection (3 papers), Data Stream Mining Techniques (2 papers) and ECG Monitoring and Analysis (1 paper). D. J. Mclaughlin is often cited by papers focused on Biosensors and Analytical Detection (3 papers), Data Stream Mining Techniques (2 papers) and ECG Monitoring and Analysis (1 paper). D. J. Mclaughlin collaborates with scholars based in United Kingdom, Ireland and Switzerland. D. J. Mclaughlin's co-authors include Dewar Finlay, James McLaughlin, Santhosh Kumar Medishetti, Brian Mac Namee, Sara McNamee, David A. Steele, Patrick J. Cullen, Alan R. Kennedy, Kok Yew Ng and Raymond Bond and has published in prestigious journals such as IEEE Journal of Translational Engineering in Health and Medicine, Research Repository UCD (University College Dublin) and Ulster University Research Portal (Ulster University).

In The Last Decade

D. J. Mclaughlin

5 papers receiving 31 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. J. Mclaughlin United Kingdom	4	16	15	15	7	6	5	38
Tania Islam Bangladesh	4	17 1.1×	11 0.7×	8 0.5×		13 2.2×	7	40
Akinola Samson Olayinka Nigeria	5	4 0.3×	5 0.3×	11 0.7×	2 0.3×	6 1.0×	20	56
Chunhong Yoon New Zealand	3	4 0.3×	12 0.8×	5 0.3×		3 0.5×	6	36
Ali Mohd Ali Jordan	5	3 0.2×	16 1.1×	6 0.4×		2 0.3×	25	59
A. Shaji George India	4	9 0.6×	4 0.3×	5 0.3×		2 0.3×	8	34
G. M. Liu China	4	8 0.5×	19 1.3×	9 0.6×			11	33
Richard Lindner Germany	3	3 0.2×	6 0.4×	9 0.6×	3 0.4×	9 1.5×	8	36
J. L. India	4	10 0.6×	6 0.4×	2 0.1×	3 0.4×	1 0.2×	10	27
Daniel Masny Switzerland	2	14 0.9×	7 0.5×	6 0.4×			4	19

Countries citing papers authored by D. J. Mclaughlin

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of D. J. Mclaughlin

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

All Works

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5 of 5 papers shown

1.

Mclaughlin, D. J., et al.. (2024). FTTA: Optimizing Resource Utilization in Cloud Environment using Meta-Heuristic Scheduling Algorithm. 1414–1421. 16 indexed citations

2.

Mclaughlin, D. J., Sara McNamee, Brian Mac Namee, et al.. (2021). A Novel Method for Quantitative Analysis of C-Reactive Protein Lateral Flow Immunoassays Images via CMOS Sensor and Recurrent Neural Networks. IEEE Journal of Translational Engineering in Health and Medicine. 9. 1–15. 13 indexed citations

3.

Namee, Brian Mac, D. J. Mclaughlin, David A. Steele, et al.. (2020). Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping. Research Repository UCD (University College Dublin). 365–369. 4 indexed citations

4.

Mclaughlin, D. J., David A. Steele, Sara McNamee, et al.. (2020). Detection and Categorisation of Multilevel High-sensitivity Cardiovascular Biomarkers from Lateral Flow Immunoassay Images via Recurrent Neural Networks. Ulster University Research Portal (Ulster University). 177–183. 2 indexed citations

5.

Mclaughlin, D. J., Raymond Bond, Dewar Finlay, et al.. (2019). Early Prediction of Sepsis Considering Early Warning Scoring Systems. Computing in cardiology. 3 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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