Simon Moncrieff

506 citations
34 papers · 419 · h-index 12

Impact in

Papers in

Simon Moncrieff

32 papers receiving 397 citations

Peers

Simon Moncrieff
Comparison fields: 5 of 86
  • Signal Processing 117
  • Computer Vision and Pattern Recognition 205
  • Transportation 37
  • Geography, Planning and Development 29
  • Computer Science Applications 18
Replace José M. Noguera with:
José M. Noguera Spain
Rolando Quintero Mexico
Cyril de Runz France
Wouter Meulemans Netherlands
Pekka Peltola United Kingdom
Susanne Bleisch Switzerland
Theresa-Marie Rhyne United States
Pragya Agarwal India
Tumasch Reichenbacher Switzerland
Hannah Dee United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Simon Moncrieff

Since Specialization
Citations

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

Fields of papers citing papers by Simon Moncrieff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Simon Moncrieff, 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 Simon Moncrieff Line = papers co-authored together Simon Moncrieff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200144
2 200841
3 201336
4 200130
5 201929
6 200927
7 200326
8 200625
9 200723
10 200717
11 200917
12 201313
13 200712
14 20057
15 20166
16 20166
17 20056
18 20086
19 20155
20 20165

About Simon Moncrieff

Simon Moncrieff is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Geography, Planning and Development, Information Systems and Information Systems and Management, having authored 34 papers that have together received 419 indexed citations. Recurring topics across this work include Music and Audio Processing (9 papers), Geographic Information Systems Studies (7 papers), Context-Aware Activity Recognition Systems (6 papers), Video Surveillance and Tracking Methods (5 papers), User Authentication and Security Systems (5 papers), Data-Driven Disease Surveillance (4 papers), Video Analysis and Summarization (4 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Signal Processing (117 citations), Computer Vision and Pattern Recognition (205 citations), Transportation (37 citations), Geography, Planning and Development (29 citations) and Computer Science Applications (18 citations). Simon Moncrieff has collaborated with scholars based in Australia and United States. Frequent co-authors include Svetha Venkatesh, GEOFF A. W. WEST, C. Dorai, Chitra Dorai, David S. Belton, Brett Chapman, Stewart Greenhill, David A. McMeekin, Sharon Biermann and Brett Smith. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, ISPRS Journal of Photogrammetry and Remote Sensing, Pervasive and Mobile Computing, Cartography and Geographic Information Science and International Journal of Digital Earth.

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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