Kate Beard

38 papers receiving 505 citations

Peers

Kate Beard
Comparison fields: 5 of 94
  • Geography, Planning and Development 233
  • Signal Processing 198
  • Computer Graphics and Computer-Aided Design 26
  • Building and Construction 92
  • Environmental Engineering 77
Replace Emmanuel Stefanakis with:
Emmanuel Stefanakis Canada
Yerach Doytsher Israel
Kurt E. Brassel United States
Peter Woodgate Australia
Martien Molenaar Netherlands
Jochen Schiewe Germany
M. Visvalingam United Kingdom
Haowen Yan China
David B. Kidner United Kingdom
Jibo Xie China
Kate Beard relative to Emmanuel Stefanakis Canada Emmanuel Stefanakis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kate Beard

Since Specialization
Citations

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

Fields of papers citing papers by Kate Beard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993105
2 1990101
3 201937
4 199335
5 199734
6 200729
7 199225
8 201117
9 201516
10
Proceedings of the 5th international conference on Geographic Information Science
200815
11 198814
12
Capturing and Modeling Geographic Object Change: A SpatioTemporal Gazetteer Framework
200013
13 202113
14
Generalization Operations and Supporting Structures
199113
15
Exploring the Capability of Some GIs Surface Interpolators for DEM Gap Fill
200010
16 20209
17 20219
18
QUALITY AND ACCURACY OF POSITIONAL DATA IN TRANSPORTATION
20038
19
A Framework for Meta-Information in Digital Libraries.
19988
20 20227

About Kate Beard

Kate Beard is a scholar working on Signal Processing, Geography, Planning and Development, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 43 papers that have together received 577 indexed citations. Recurring topics across this work include Data Management and Algorithms (20 papers), Geographic Information Systems Studies (18 papers), Data Visualization and Analytics (5 papers), Data Quality and Management (3 papers), Semantic Web and Ontologies (3 papers), Time Series Analysis and Forecasting (3 papers), Marine and fisheries research (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Geography, Planning and Development (233 citations), Signal Processing (198 citations), Computer Graphics and Computer-Aided Design (26 citations), Building and Construction (92 citations) and Environmental Engineering (77 citations). Kate Beard has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include William Mackaness, Gary J. Hunter, Neal R. Pettigrew, Nicholas Chrisman, Fuyu Xu, Teresa R. Johnson, Peter Doucette, Anthony Stefanidis, Spencer R. Meyer and Robert J. Lilieholm. Their work appears in journals such as Sensors, Photogrammetric Engineering & Remote Sensing, Bioinformatics, Landscape Ecology and Information Visualization.

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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