David Monaghan

1.5k citations
44 papers · 1.0k · h-index 17

Impact in

Papers in

David Monaghan

44 papers receiving 981 citations

Peers

David Monaghan
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 677
  • Acoustics and Ultrasonics 19
  • Human-Computer Interaction 114
  • Media Technology 145
  • Atomic and Molecular Physics, and Optics 244
Replace Qibin Sun with:
Qibin Sun China
Amar Aggoun United Kingdom
Hui Ye China
Jinwoong Kim South Korea
Jean-Bernard Martens Netherlands
Quan Li China
Bo Sun China
Ruofei Du United States
Danielle Albers Szafir United States
Gaurav Garg India
David Monaghan relative to Qibin Sun China Qibin Sun's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Monaghan

Since Specialization
Citations

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

Fields of papers citing papers by David Monaghan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Monaghan, 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 David Monaghan Line = papers co-authored together David Monaghan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006191
2 2013119
3 201496
4 200781
5 200773
6 201640
7 201036
8 201835
9 200832
10 200830
11 200927
12 202026
13
Data Mining for the Social Sciences: An Introduction
201526
14 201524
15 200822
16 201318
17 200816
18 201714
19 200914
20 202113

About David Monaghan

David Monaghan is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Media Technology, Artificial Intelligence and Human-Computer Interaction, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (11 papers), Digital Holography and Microscopy (9 papers), Advanced Optical Imaging Technologies (9 papers), Advanced Vision and Imaging (8 papers), Virtual Reality Applications and Impacts (4 papers), Human Motion and Animation (4 papers), Video Analysis and Summarization (4 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (677 citations), Acoustics and Ultrasonics (19 citations), Human-Computer Interaction (114 citations), Media Technology (145 citations) and Atomic and Molecular Physics, and Optics (244 citations). David Monaghan has collaborated with scholars based in Ireland, United States and Spain. Frequent co-authors include John T. Sheridan, Unnikrishnan Gopinathan, Thomas J. Naughton, Noel E. O’Connor, Edmond Mitchell, Guohai Situ, Peter Novitzky, Tim Jacquemard, Bryan M. Hennelly and Bert Gordijn. Their work appears in journals such as Optics Communications, International Journal of Digital Multimedia Broadcasting, Science and Engineering Ethics, Leonardo and Optics Express.

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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