D.M. Monro

2.1k citations
93 papers · 1.4k · h-index 19

Impact in

Papers in

D.M. Monro

84 papers receiving 1.2k citations

Peers

D.M. Monro
Comparison fields: 5 of 99
  • Signal Processing 729
  • Computer Vision and Pattern Recognition 749
  • Mathematical Physics 262
  • Safety Research 147
  • Information Systems 242
Replace Rongjie Lai with:
Rongjie Lai United States
H. B. Kekre India
Pauli Kuosmanen Finland
Yu Gu China
Raghunandan H. Keshavan United States
Said Boussakta United Kingdom
Ayman Alfalou France
Lee Jones United States
Shufang Xu China
Toby Berger United States
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Citations per field
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Rongjie Lai · 1×
Citations per year

Countries citing papers authored by D.M. Monro

Since Specialization
Citations

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

Fields of papers citing papers by D.M. Monro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.M. Monro. 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.M. Monro. The network helps show where D.M. Monro may publish in the future.

Co-authors

The 25 scholars most cited alongside D.M. Monro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D.M. Monro Line = papers co-authored together D.M. Monro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007282
2 1993163
3 199268
4 199252
5 199341
6 199839
7 199838
8 199237
9 200735
10 200629
11 199523
12 200522
13 197622
14 199222
15 200221
16 197420
17
Deterministic rendering of self-affine fractals
199018
18 200218
19 200218
20 200217

About D.M. Monro

D.M. Monro is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Mathematical Physics, Artificial Intelligence and Computational Mechanics, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (26 papers), Image and Signal Denoising Methods (24 papers), Mathematical Dynamics and Fractals (20 papers), Biometric Identification and Security (16 papers), Advanced Image Processing Techniques (12 papers), Digital Filter Design and Implementation (11 papers), Algorithms and Data Compression (10 papers) and User Authentication and Security Systems (7 papers). The work is most often cited by research in Signal Processing (729 citations), Computer Vision and Pattern Recognition (749 citations), Mathematical Physics (262 citations), Safety Research (147 citations) and Information Systems (242 citations). D.M. Monro has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include B.G. Sherlock, Soumyadip Rakshit, Dexin Zhang, Frank Dudbridge, Zhengang Zha, David Zhang, Koreen Millard, Jack Tinker, Yuan Yuan and E.J. Davison. Their work appears in journals such as Fractals, Electronics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of the Royal Statistical Society Series C (Applied Statistics) and Cardiovascular Research.

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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