Donn Morrison

535 citations
27 papers · 410 · h-index 7

Impact in

Papers in

Donn Morrison

26 papers receiving 386 citations

Peers

Donn Morrison
Comparison fields: 5 of 53
  • Experimental and Cognitive Psychology 246
  • Signal Processing 183
  • Pharmacy 31
  • Computer Vision and Pattern Recognition 144
  • Artificial Intelligence 173
Replace France Mihelič with:
France Mihelič Slovenia
Alexander I. Iliev Bulgaria
Artur Janicki Poland
Charlie K. Dagli United States
Joachim Stegmann Germany
John Dines Switzerland
Fabio Brugnara Italy
Monorama Swain India
Haiyang Xu China
R. Bakis United States
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Citations per field
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Citations per year

Countries citing papers authored by Donn Morrison

Since Specialization
Citations

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

Fields of papers citing papers by Donn Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Donn Morrison, 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 Donn Morrison Line = papers co-authored together Donn Morrison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006259
2 201538
3 200623
4 200919
5 200512
6 20058
7 20077
8 20146
9
Here, have an upvote: Communication behaviour and karma on Reddit
20135
10 20135
11 20085
12 20104
13 20202
14
Modelling long-term relevance feedback
20092
15 20112
16 20122
17 20152
18 20111
19 20241
20 20121

About Donn Morrison

Donn Morrison is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology, Statistical and Nonlinear Physics and Information Systems, having authored 27 papers that have together received 410 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (5 papers), Emotion and Mood Recognition (5 papers), Complex Network Analysis Techniques (5 papers), Speech and Audio Processing (4 papers), Opinion Dynamics and Social Influence (3 papers), Caching and Content Delivery (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (246 citations), Signal Processing (183 citations), Pharmacy (31 citations), Computer Vision and Pattern Recognition (144 citations) and Artificial Intelligence (173 citations). Donn Morrison has collaborated with scholars based in Switzerland, Norway and New Zealand. Frequent co-authors include Ruili Wang, Stéphane Marchand‐Maillet, Magnus Jahre, Éric Bruno, Yaman Umuroglu, Weiliang Xu, Conor Hayes, Bahareh Rahmanzadeh Heravi, Afra J. Mashhadi and Alessandra Sala. Their work appears in journals such as Speech Communication, Future Internet, Computer Communications, Multimedia Tools and Applications and Journal of Network and Computer Applications.

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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