David Mulvaney

732 total citations
62 papers, 502 citations indexed

About

David Mulvaney is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, David Mulvaney has authored 62 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in David Mulvaney's work include Evolutionary Algorithms and Applications (9 papers), Embedded Systems Design Techniques (8 papers) and Speech and Audio Processing (7 papers). David Mulvaney is often cited by papers focused on Evolutionary Algorithms and Applications (9 papers), Embedded Systems Design Techniques (8 papers) and Speech and Audio Processing (7 papers). David Mulvaney collaborates with scholars based in United Kingdom, India and Malaysia. David Mulvaney's co-authors include António Coutinho, Pierre‐André Cazenave, Max D. Cooper, Mohd Zamri Ibrahim, V.A. Chouliaras, A. L. Vyas, David E. Newland, Omar Farooq, K. F. Gill and Yang Wang and has published in prestigious journals such as Nature, The Journal of the Acoustical Society of America and Sensors.

In The Last Decade

David Mulvaney

58 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Mulvaney United Kingdom	13	167	90	84	71	68	62	502
Zhuo Wei Singapore	12	81 0.5×	41 0.5×	45 0.5×	131 1.8×	65 1.0×	31	772
Lawson L. S. Wong United States	12	167 1.0×	175 1.9×	19 0.2×	60 0.8×	22 0.3×	29	561
Zhong Liu China	14	233 1.4×	74 0.8×	17 0.2×	91 1.3×	39 0.6×	55	657
Jiantao Wang China	14	44 0.3×	59 0.7×	56 0.7×	95 1.3×	137 2.0×	61	597
Weidong Zhang China	13	180 1.1×	44 0.5×	107 1.3×	24 0.3×	42 0.6×	24	566
Fan Zhou China	14	194 1.2×	52 0.6×	132 1.6×	35 0.5×	36 0.5×	62	555
Ali Ghaffari Iran	17	104 0.6×	97 1.1×	117 1.4×	320 4.5×	17 0.3×	81	1.1k
Siyamalan Manivannan Sri Lanka	13	193 1.2×	217 2.4×	46 0.5×	45 0.6×	111 1.6×	38	586
Hanzhao Li China	12	129 0.8×	113 1.3×	63 0.8×	24 0.3×	14 0.2×	36	660

Countries citing papers authored by David Mulvaney

Since Specialization

Citations

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

Fields of papers citing papers by David Mulvaney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mulvaney

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

All Works

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20 of 20 papers shown

Ibrahim, Mohd Zamri, et al.. (2019). WADA-W: A Modified WADA SNR Estimator for Audio-Visual Speech Recognition. International Journal of Machine Learning and Computing. 9(4). 446–451. 3 indexed citations

Ibrahim, Mohd Zamri, et al.. (2019). Image Fusion based Multi Resolution and Frequency Partition Discrete Cosine Transform for Palm Vein Recognition. Loughborough University Institutional Repository (Loughborough University). 367–371. 7 indexed citations

Hu, Sijung, et al.. (2018). An applicable approach for extracting human heart rate and oxygen saturation during physical movements using a multi-wavelength illumination optoelectronic sensor system. Loughborough University Institutional Repository (Loughborough University). 27–27. 7 indexed citations

Ibrahim, Mohd Zamri & David Mulvaney. (2014). A lip geometry approach for feature-fusion based audio-visual speech recognition. 644–647. 4 indexed citations

Mulvaney, David, et al.. (2013). Architecture, performance modeling and VLSI implementation methodologies for ASIC vector processors: A case study in telephony workloads. Microprocessors and Microsystems. 37(8). 1122–1143. 1 indexed citations

Mulvaney, David, B. Woodward, Samir Datta, et al.. (2012). Development of m-health monitoring systems in India and Iraq. PubMed. 2012. 288–291. 11 indexed citations

Mulvaney, David, B. Woodward, Paul Harvey, et al.. (2012). Monitoring Heart Disease and Diabetes with Mobile Internet Communications. International Journal of Telemedicine and Applications. 2012. 1–12. 9 indexed citations

Harvey, Paul, B. Woodward, Samir Datta, & David Mulvaney. (2011). Data acquisition in a wireless diabetic and cardiac monitoring system. PubMed. 55. 3154–3157. 7 indexed citations

Ahmad, Musheer, et al.. (2011). Chaos-based encryption of biomedical EEG signals using random quantization technique. 1471–1475. 13 indexed citations

10.

Mulvaney, David, B. Woodward, Suman Datta, et al.. (2010). Mobile communications for monitoring heart disease and diabetes. PubMed. 2010. 2208–2210. 6 indexed citations

11.

Wang, Yang, et al.. (2008). Robot Navigation by Waypoints. Journal of Intelligent & Robotic Systems. 52(2). 175–207. 21 indexed citations

12.

Mulvaney, David, et al.. (2007). A Novel Genetic Algorithm Designed For Hardware Implementation. International Journal of Electrical and Computer Engineering (IJECE). 1(12). 1842–1849. 8 indexed citations

13.

Chouliaras, V.A., et al.. (2006). SystemC-defined SIMD instructions for a CMP/SMT ASIC platform. 285–288. 1 indexed citations

14.

Chouliaras, V.A., et al.. (2006). Thread-Parallel MPEG-4 and H. 264 Coders for System-on-Chip Multi-Processor Architectures. uwt96. 91–92. 2 indexed citations

15.

West, Andrew, et al.. (2003). Hybrid representations of real-time control rules for manufacturing process control in electronics manufacture. 7. 745–750.

16.

Mulvaney, David, et al.. (2002). Batch-mode decision tree learning applied to intelligent reactive robot control. 12. 416–420. 4 indexed citations

17.

Mulvaney, David, et al.. (2002). Self-organising fuzzy decision trees for robot navigation: An online learning approach. 3. 2332–2337. 1 indexed citations

18.

Mulvaney, David, et al.. (1999). Multi-Layer Hierarchical Rule Learning in Reactive Robot Control Using Incremental Decision Trees. Journal of Intelligent & Robotic Systems. 24(2). 99–124. 2 indexed citations

19.

Mulvaney, David, David E. Newland, & K. F. Gill. (1986). A Characterization of Surface Texture Profiles. Proceedings of the Institution of Mechanical Engineers Part C Mechanical Engineering Science. 200(3). 167–178. 3 indexed citations

20.

Mulvaney, David, David E. Newland, & K. F. Gill. (1985). Identification of Surface Roughness. Proceedings of the Institution of Mechanical Engineers Part C Mechanical Engineering Science. 199(4). 281–286. 8 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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