Geoffrey Brian Groom

1.7k total citations
38 papers, 1.3k citations indexed

About

Geoffrey Brian Groom is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Geoffrey Brian Groom has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ecology, 15 papers in Global and Planetary Change and 13 papers in Environmental Engineering. Recurrent topics in Geoffrey Brian Groom's work include Remote Sensing in Agriculture (12 papers), Land Use and Ecosystem Services (12 papers) and Geographic Information Systems Studies (10 papers). Geoffrey Brian Groom is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Land Use and Ecosystem Services (12 papers) and Geographic Information Systems Studies (10 papers). Geoffrey Brian Groom collaborates with scholars based in Denmark, Germany and United Kingdom. Geoffrey Brian Groom's co-authors include R. M. Fuller, Arwyn Jones, C.A. Mücher, Wolfgang Schwanghart, Goswin Johann Heckrath, Thomas Wrbka, Margareta Ihse, Robin M. Fuller, R Malinowski and Rasmus Ejrnæs and has published in prestigious journals such as Biological Conservation, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Geoffrey Brian Groom

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Geoffrey Brian Groom Denmark 18 740 554 351 250 248 38 1.3k
Jonathan H. Smith United States 13 781 1.1× 792 1.4× 328 0.9× 125 0.5× 221 0.9× 22 1.3k
Valerie J. Pasquarella United States 13 758 1.0× 673 1.2× 345 1.0× 186 0.7× 156 0.6× 27 1.3k
Mark Jakubauskas United States 18 1.1k 1.5× 691 1.2× 394 1.1× 370 1.5× 435 1.8× 37 1.6k
Sunil Narumalani United States 20 894 1.2× 576 1.0× 284 0.8× 118 0.5× 130 0.5× 38 1.5k
R. Douglas Ramsey United States 21 736 1.0× 627 1.1× 370 1.1× 138 0.6× 221 0.9× 70 1.3k
Kim Lowell United States 21 586 0.8× 484 0.9× 530 1.5× 108 0.4× 297 1.2× 97 1.4k
David J. Paull Australia 25 917 1.2× 414 0.7× 242 0.7× 371 1.5× 307 1.2× 100 1.7k
Raymond L. Czaplewski United States 17 892 1.2× 752 1.4× 547 1.6× 136 0.5× 303 1.2× 53 1.5k
René Beuchle Italy 20 910 1.2× 1.2k 2.2× 354 1.0× 156 0.6× 331 1.3× 33 1.9k
Roger F. Auch United States 16 634 0.9× 995 1.8× 364 1.0× 112 0.4× 195 0.8× 35 1.5k

Countries citing papers authored by Geoffrey Brian Groom

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey Brian Groom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey Brian Groom. 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 Geoffrey Brian Groom. The network helps show where Geoffrey Brian Groom may publish in the future.

Co-authorship network of co-authors of Geoffrey Brian Groom

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Brian Groom. A scholar is included among the top collaborators of Geoffrey Brian Groom 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 Geoffrey Brian Groom. Geoffrey Brian Groom 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
1.
2.
Kryger, Per, Joana Alves, Marianne Bruus, et al.. (2021). Research project on field data collection for honey bee colony model evaluation. EFSA Supporting Publications. 18(7). 8 indexed citations
3.
Groom, Geoffrey Brian, et al.. (2021). Dune Sand – Object based image analysis for vectorization of a dotted signature in Danish late 1800s maps. Ministry of Culture Research Portal. 2 indexed citations
4.
Groom, Geoffrey Brian, et al.. (2015). Flock distributions of Lesser Flamingos Phoeniconaias minor as potential responses to food abundance-predation risk trade-offs at Kamfers Dam, South Africa. Wildfowl (Wildfowl & Wetlands Trust). 65(65). 3–18. 14 indexed citations
5.
Schwanghart, Wolfgang, Geoffrey Brian Groom, Nikolaus J. Kuhn, & Goswin Johann Heckrath. (2013). Flow network derivation from a high resolution DEM in a low relief, agrarian landscape. Earth Surface Processes and Landforms. 38(13). 1576–1586. 50 indexed citations
6.
7.
Jansen, Louisa J. M., et al.. (2008). Land-cover harmonisation and semantic similarity: some methodological issues. Journal of Land Use Science. 3(2-3). 131–160. 23 indexed citations
8.
Bunce, R. G. H., Marc J. Metzger, R.H.G. Jongman, et al.. (2007). A standardized procedure for surveillance and monitoring European habitats and provision of spatial data. Landscape Ecology. 23(1). 11–25. 138 indexed citations
9.
Groom, Geoffrey Brian, C.A. Mücher, Margareta Ihse, & Thomas Wrbka. (2005). Remote Sensing in Landscape Ecology: Experiences and Perspectives in a European Context. Landscape Ecology. 20(6). 773–773. 8 indexed citations
10.
Bunce, R.G.H., et al.. (2005). Handbook for Surveillance and Monitoring of European Habitats. First Edition. Data Archiving and Networked Services (DANS). 2 indexed citations
11.
Groom, Geoffrey Brian, et al.. (2002). Comparability and subjectivity of land cover maps produced with digital image classification techniques: some recent experiences from Denmark and northern Germany. Geografisk Tidsskrift-Danish Journal of Geography. 102(1). 59–77. 9 indexed citations
12.
Jacobsen, A., et al.. (2000). Spectral Identification of Plant Communities for Mapping of Semi-Natural Grasslands. Canadian Journal of Remote Sensing. 26(5). 370–383. 7 indexed citations
13.
Groom, Geoffrey Brian, et al.. (1999). Image analysis and GIS Integration for land use and habitat map update application: The MoBio project.. elib (German Aerospace Center). 2 indexed citations
14.
Luckman, Adrian, et al.. (1997). Texture in airborne SAR imagery of tropical forest and its relationship to forest regeneration stage. International Journal of Remote Sensing. 18(6). 1333–1349. 44 indexed citations
15.
Fuller, R. M., Geoffrey Brian Groom, & Arwyn Jones. (1994). The Land Cover Map of Great Britain: an automated classification of Landsat Thematic Mapper data. Photogrammetric Engineering & Remote Sensing. 60(5). 553–562. 328 indexed citations
16.
Baker, John, et al.. (1994). Relationships between physical characteristics and polarimetric radar backscatter for Corsican pine stands in Thetford Forest, U.K.. International Journal of Remote Sensing. 15(14). 2827–2849. 34 indexed citations
17.
Barr, Colin, R. G. H. Bunce, R. T. Clarke, et al.. (1993). Countryside Survey 1990: main report. (Countryside 1990 vol.2). NERC Open Research Archive (Natural Environment Research Council). 16 indexed citations
18.
Fuller, R. M., et al.. (1993). Countryside Survey 1990: mapping the land cover of Great Britain using Landsat imagery: a demonstrator project in remote sensing. Final report on pattern analysis and GIS. 6 indexed citations
19.
Fuller, Robin M. & Geoffrey Brian Groom. (1993). The Land Cover Map of Great Britain. 54 indexed citations
20.
Foody, Giles M., Paul J. Curran, Geoffrey Brian Groom, & D. C. Munro. (1989). Multi‐temporal airborne synthetic aperture radar data for crop classification. Geocarto International. 4(3). 19–29. 30 indexed citations

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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