Malcolm J. Hawksford

124 total papers · 551 total citations
76 papers, 336 citations indexed

About

Malcolm J. Hawksford is a scholar working on Biomedical Engineering, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Malcolm J. Hawksford has authored 76 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Biomedical Engineering, 30 papers in Signal Processing and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Malcolm J. Hawksford's work include Acoustic Wave Phenomena Research (21 papers), Speech and Audio Processing (20 papers) and Advanced Adaptive Filtering Techniques (18 papers). Malcolm J. Hawksford is often cited by papers focused on Acoustic Wave Phenomena Research (21 papers), Speech and Audio Processing (20 papers) and Advanced Adaptive Filtering Techniques (18 papers). Malcolm J. Hawksford collaborates with scholars based in United Kingdom, Iran and Botswana. Malcolm J. Hawksford's co-authors include T. H. Pearce, M. P. Hollier, Jin‐Woo Jung, Martin J. Reed, David J. Robinson, R. M. Howe, Sheila Flanagan, Michael P. Hollier and John Vanderkooy and has published in prestigious journals such as Journal of the Audio Engineering Society, Proceedings of the Institution of Electrical Engineers and Electronics and Power.

In The Last Decade

Malcolm J. Hawksford

58 papers receiving 236 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Malcolm J. Hawksford	169	161	132	99	55	76	336
Sérgio Almeida	92 0.5×	221 1.4×	91 0.7×	162 1.6×	35 0.6×	50	365
I‐Hung Khoo	105 0.6×	141 0.9×	61 0.5×	101 1.0×	20 0.4×	38	307
Mark Kahrs	66 0.4×	166 1.0×	107 0.8×	56 0.6×	56 1.0×	27	332
Saeid R. Seydnejad	77 0.5×	128 0.8×	63 0.5×	58 0.6×	39 0.7×	38	346
O.E. Herrmann	85 0.5×	66 0.4×	73 0.6×	41 0.4×	38 0.7×	34	340
Masahide Abe	125 0.7×	177 1.1×	50 0.4×	188 1.9×	15 0.3×	73	378
Xiefeng Cheng	73 0.4×	67 0.4×	44 0.3×	92 0.9×	34 0.6×	46	382
S.V. Narasimhan	51 0.3×	147 0.9×	99 0.8×	86 0.9×	12 0.2×	53	317
Laurent Fesquet	103 0.6×	55 0.3×	214 1.6×	32 0.3×	18 0.3×	60	362
Cheung-Fat Chan	87 0.5×	191 1.2×	152 1.2×	96 1.0×	16 0.3×	88	385

Countries citing papers authored by Malcolm J. Hawksford

Since Specialization

Citations

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

Fields of papers citing papers by Malcolm J. Hawksford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm J. Hawksford. 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 Malcolm J. Hawksford. The network helps show where Malcolm J. Hawksford may publish in the future.

Co-authorship network of co-authors of Malcolm J. Hawksford

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

All Works

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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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