Tim Pattison

551 citations
18 papers · 381 indexed · h-index 8

Tim Pattison

18 papers receiving 361 citations

Peers

Tim Pattison
Comparison fields: 5 of 65
  • Artificial Intelligence 227
  • Computer Networks and Communications 120
  • Computer Vision and Pattern Recognition 93
  • Statistical and Nonlinear Physics 46
  • Computational Mathematics 2
Replace Naum N. Aizenberg with:
Naum N. Aizenberg Ukraine
Zeyuan Allen-Zhu United States
Mohammadreza Doostmohammadian Iran
Andreas Pfadler Germany
Zixin Liu Canada
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Xu Zhu Japan
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Citations per field
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Citations per year

Countries citing papers authored by Tim Pattison

Since Specialization
Citations

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

Fields of papers citing papers by Tim Pattison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Tim Pattison, 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 Tim Pattison Line = papers co-authored together Tim Pattison links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Interactive Visualization of Formal Concept Lattices.
20141
2
Interaction Challenges for the Dynamic Construction of Partially-Ordered Sets.
20142
3 20141
4 20131
5 20111
6
Intense Collaboration: Human and Technical Requirements for Agile C2
20091
7
Speaker Localisation Using Time Difference of Arrival
20081
8
Proceedings of the Asia-Pacific symposium on Information visualisation - Volume 24
20032
9
View coordination architecture for information visualisation
200117
10
Information visualisation using composable layouts and visual sets
200115
11
Proceedings of the 2001 Asia-Pacific symposium on Information visualisation - Volume 9
20018
12
Rapid assembly and deployment of domain visualisation solutions
200110
13 200041
14 19997
15 1993257
16 19924
17 19921
18 196611

About Tim Pattison

Tim Pattison is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics, Geography, Planning and Development and Statistical and Nonlinear Physics, having authored 18 papers that have together received 381 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Rough Sets and Fuzzy Logic (3 papers), Image and Signal Denoising Methods (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Complex Network Analysis Techniques (2 papers), Neural Networks and Applications (2 papers), Data Management and Algorithms (2 papers) and Multimedia Communication and Technology (2 papers). The work is most often cited by research in Artificial Intelligence (227 citations), Computer Networks and Communications (120 citations), Computer Vision and Pattern Recognition (93 citations), Statistical and Nonlinear Physics (46 citations) and Computational Mathematics (2 citations). Tim Pattison has collaborated with scholars based in Australia and United States. Frequent co-authors include Abdesselam Bouzerdoum, Matthew Phillips, Peter Eades, Aaron Ceglar, G. R. Wendt, B.R. Davis, Bruce H. Thomas, Herchel Smith, Matthew Trinkle and E. J. Capaldi. Their work appears in journals such as Biological Cybernetics, IEEE Transactions on Aerospace and Electronic Systems, Digital Signal Processing, Journal of Medicinal Chemistry and Neural Networks.

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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