Kate Beard

34 papers receiving 425 citations

Peers

Kate Beard
Comparison fields: 5 of 90
  • Geography, Planning and Development 201
  • Signal Processing 165
  • Building and Construction 76
  • Space and Planetary Science 7
  • Computer Graphics and Computer-Aided Design 18
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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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199394
2 199069
3 201934
4 200728
5 199328
6 199727
7 199223
8 201516
9 201115
10 202113
11
Proceedings of the 5th international conference on Geographic Information Science
200813
12 198813
13
Capturing and Modeling Geographic Object Change: A SpatioTemporal Gazetteer Framework
200012
14
Generalization Operations and Supporting Structures
199112
15
Exploring the Capability of Some GIs Surface Interpolators for DEM Gap Fill
200010
16 20219
17 20209
18
QUALITY AND ACCURACY OF POSITIONAL DATA IN TRANSPORTATION
20038
19 20227
20 20126

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 37 papers that have together received 490 indexed citations. Recurring topics across this work include Data Management and Algorithms (17 papers), Geographic Information Systems Studies (17 papers), Data Visualization and Analytics (5 papers), Semantic Web and Ontologies (3 papers), Marine and fisheries research (2 papers), Marine Bivalve and Aquaculture Studies (2 papers), Time Series Analysis and Forecasting (2 papers) and Automated Road and Building Extraction (2 papers). The work is most often cited by research in Geography, Planning and Development (201 citations), Signal Processing (165 citations), Building and Construction (76 citations), Space and Planetary Science (7 citations) and Computer Graphics and Computer-Aided Design (18 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, Christopher S. Cronan, Robert J. Lilieholm and Spencer R. Meyer. Their work appears in journals such as Photogrammetric Engineering & Remote Sensing, Sensors, Sustainability, Computers Environment and Urban Systems and Bioinformatics.

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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