Angus G. Forbes

1.3k citations
87 papers · 754 indexed · h-index 16
Topics
Data Visualization and Analytics (33 papers)Interactive and Immersive Displays (11 papers)Computer Graphics and Visualization Techniques (10 papers)

In The Last Decade

Angus G. Forbes

82 papers receiving 728 citations

Peers

Angus G. Forbes
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 427
  • Cognitive Neuroscience 119
  • Artificial Intelligence 107
  • Human-Computer Interaction 105
  • Molecular Biology 100
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Citations per field
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Citations per year

Countries citing papers authored by Angus G. Forbes

Since Specialization
Citations

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

Fields of papers citing papers by Angus G. Forbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angus G. Forbes. 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 Angus G. Forbes. The network helps show where Angus G. Forbes may publish in the future.

Co-authorship network of co-authors of Angus G. Forbes

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 7
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Disentangling the Cosmic Web toward FRB 190608
29
5 16
6 2
7 30
8
A Web-based System for Designing Interactive Virtual Soundscapes.
1
9 2
10 0
11 2
12
ProvenanceMatrix: A visualization tool for multi-taxonomy alignments
7
13 12
14 16
15 4
16 6
17
Iterative Synaesthetic Composing with Multimedia signals.
7
18 20
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Visually Browsing Georeferenced Digital Libraries
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20 1

About Angus G. Forbes

Angus G. Forbes is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 754 indexed citations. Recurring topics across this work include Data Visualization and Analytics (33 papers), Interactive and Immersive Displays (11 papers) and Computer Graphics and Visualization Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (427 citations), Human-Computer Interaction (105 citations) and Computer Graphics and Computer-Aided Design (62 citations). Angus G. Forbes has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Tommy Dang, Paul Murray, Tobias Höllerer, Manu Mathew Thomas, JoAnn Kuchera-Morin, Başak Alper, Andrew Johnson, Fintan McGee, Marco Cavallo and G. Elisabeta Marai. Their work appears in journals such as Bioinformatics, Journal of Clinical Epidemiology and ACM Transactions on Graphics.

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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