Kate M. Beard

37 papers receiving 494 citations

Peers

Kate M. Beard
Comparison fields: 5 of 93
  • Geography, Planning and Development 193
  • Virology 76
  • Signal Processing 174
  • Transportation 34
  • Building and Construction 68
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Countries citing papers authored by Kate M. Beard

Since Specialization
Citations

This map shows the geographic impact of Kate M. 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 M. 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 M. Beard more than expected).

Fields of papers citing papers by Kate M. Beard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993101
2 202282
3 201944
4 199336
5 199733
6 200731
7 199224
8 201517
9 198814
10
Proceedings of the 5th international conference on Geographic Information Science
200814
11 202113
12
Capturing and Modeling Geographic Object Change: A SpatioTemporal Gazetteer Framework
200013
13
Generalization Operations and Supporting Structures
199111
14 202011
15
Exploring the Capability of Some GIs Surface Interpolators for DEM Gap Fill
200011
16 20219
17 20228
18
Digital Spatial Libraries: A Context for Engineering and Library Collaboration
19957
19
QUALITY AND ACCURACY OF POSITIONAL DATA IN TRANSPORTATION
20037
20 20127

About Kate M. Beard

Kate M. Beard is a scholar working on Geography, Planning and Development, Signal Processing, Computer Vision and Pattern Recognition, Environmental Engineering and Artificial Intelligence, having authored 42 papers that have together received 545 indexed citations. Recurring topics across this work include Data Management and Algorithms (19 papers), Geographic Information Systems Studies (17 papers), Data Visualization and Analytics (5 papers), Semantic Web and Ontologies (3 papers), Data Quality and Management (3 papers), Time Series Analysis and Forecasting (3 papers), Marine and fisheries research (2 papers) and Automated Road and Building Extraction (2 papers). The work is most often cited by research in Geography, Planning and Development (193 citations), Virology (76 citations), Signal Processing (174 citations), Transportation (34 citations) and Building and Construction (68 citations). Kate M. Beard has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include William Mackaness, Gary J. Hunter, Neal R. Pettigrew, Nicholas Chrisman, Fuyu Xu, Teresa R. Johnson, Peter J. Doucette, Damian Coman Brady, Kevin Duffy and Terence R. Smith. Their work appears in journals such as Photogrammetric Engineering & Remote Sensing, PLoS ONE, International Journal on Digital Libraries, Landscape Ecology 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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