Keith Cressman

952 total citations
23 papers, 616 citations indexed

About

Keith Cressman is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Ecology. According to data from OpenAlex, Keith Cressman has authored 23 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, Evolution, Behavior and Systematics, 9 papers in Genetics and 7 papers in Ecology. Recurrent topics in Keith Cressman's work include Insect and Arachnid Ecology and Behavior (8 papers), Plant and animal studies (8 papers) and Remote Sensing in Agriculture (5 papers). Keith Cressman is often cited by papers focused on Insect and Arachnid Ecology and Behavior (8 papers), Plant and animal studies (8 papers) and Remote Sensing in Agriculture (5 papers). Keith Cressman collaborates with scholars based in Italy, United Kingdom and United States. Keith Cressman's co-authors include Pietro Ceccato, J. I. Magor, A. van Huis, Pierre Defourny, François Waldner, Tufa Dinku, Stephen J. Connor, Alessandra Giannini, S. Trzaska and Damien Jacques and has published in prestigious journals such as Scientific Reports, Journal of Applied Ecology and PLoS Computational Biology.

In The Last Decade

Keith Cressman

22 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith Cressman Italy 13 242 199 147 142 136 23 616
Lili Li China 18 308 1.3× 209 1.1× 170 1.2× 73 0.5× 127 0.9× 39 867
Cyril Piou France 18 314 1.3× 309 1.6× 239 1.6× 147 1.0× 482 3.5× 60 1.0k
Federico Vessella Italy 16 145 0.6× 204 1.0× 242 1.6× 228 1.6× 220 1.6× 33 765
Katsuhiro Nakao Japan 18 165 0.7× 194 1.0× 233 1.6× 318 2.2× 234 1.7× 38 790
Rui B. Elias Portugal 17 126 0.5× 271 1.4× 187 1.3× 185 1.3× 178 1.3× 60 831
Catarina Melo Portugal 12 97 0.4× 232 1.2× 185 1.3× 163 1.1× 187 1.4× 22 635
Laura L. Fagan New Zealand 11 118 0.5× 260 1.3× 107 0.7× 79 0.6× 138 1.0× 17 575
Petri Ahlroth Finland 9 107 0.4× 170 0.9× 70 0.5× 106 0.7× 205 1.5× 14 489
Dennis J. Fielding United States 14 69 0.3× 223 1.1× 118 0.8× 77 0.5× 150 1.1× 36 549
Laura K. Gray Canada 11 202 0.8× 148 0.7× 151 1.0× 240 1.7× 281 2.1× 12 978

Countries citing papers authored by Keith Cressman

Since Specialization
Citations

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

Fields of papers citing papers by Keith Cressman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Cressman

This figure shows the co-authorship network connecting the top 25 collaborators of Keith Cressman. A scholar is included among the top collaborators of Keith Cressman 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 Keith Cressman. Keith Cressman 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.
Retkutė, Renata, William P. Thurston, Keith Cressman, & Christopher A. Gilligan. (2024). A framework for modelling desert locust population dynamics and large-scale dispersal. PLoS Computational Biology. 20(12). e1012562–e1012562. 6 indexed citations
2.
Meyer, Marcel, William P. Thurston, Sarah Millington, et al.. (2023). Three-Dimensional Visualization of Long-Range Atmospheric Transport of Crop Pathogens and Insect Pests. Atmosphere. 14(6). 910–910. 3 indexed citations
3.
Ellenburg, W. L., Vikalp Mishra, J. Brent Roberts, et al.. (2021). Detecting Desert Locust Breeding Grounds: A Satellite-Assisted Modeling Approach. Remote Sensing. 13(7). 1276–1276. 19 indexed citations
4.
Retkutė, Renata, et al.. (2021). Regional Differences in Control Operations during the 2019–2021 Desert Locust Upsurge. Agronomy. 11(12). 2529–2529. 12 indexed citations
5.
Kimathi, Emily, Henri E. Z. Tonnang, Sevgan Subramanian, et al.. (2020). Prediction of breeding regions for the desert locust Schistocerca gregaria in East Africa. Scientific Reports. 10(1). 11937–11937. 72 indexed citations
6.
Buchaillot, Ma. Luisa, Jill E. Cairns, Kenneth Wilson, et al.. (2020). Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems. 8 indexed citations
7.
Cheke, Robert, Stephen Young, Xia Wang, et al.. (2020). Evidence for a Causal Relationship between the Solar Cycle and Locust Abundance. Agronomy. 11(1). 69–69. 8 indexed citations
8.
Piou, Cyril, et al.. (2018). Soil moisture from remote sensing to forecast desert locust presence. Journal of Applied Ecology. 56(4). 966–975. 40 indexed citations
9.
Cressman, Keith, et al.. (2015). Using the enhanced vegetation index for deriving risk maps of desert locust (Schistocerca gregaria, Forskal) breeding areas in Egypt. Journal of Applied Remote Sensing. 8(1). 84897–84897. 8 indexed citations
10.
Waldner, François, et al.. (2015). Operational Monitoring of the Desert Locust Habitat with Earth Observation: An Assessment. ISPRS International Journal of Geo-Information. 4(4). 2379–2400. 46 indexed citations
11.
Waldner, François, et al.. (2015). A Dynamic Vegetation Senescence Indicator for Near-Real-Time Desert Locust Habitat Monitoring with MODIS. Remote Sensing. 7(6). 7545–7570. 46 indexed citations
12.
Pekel, Jean‐François, Pietro Ceccato, Christelle Vancutsem, et al.. (2010). Development and Application of Multi-Temporal Colorimetric Transformation to Monitor Vegetation in the Desert Locust Habitat. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 4(2). 318–326. 3 indexed citations
13.
Dinku, Tufa, Pietro Ceccato, Keith Cressman, & Stephen J. Connor. (2010). Evaluating Detection Skills of Satellite Rainfall Estimates over Desert Locust Recession Regions. Journal of Applied Meteorology and Climatology. 49(6). 1322–1332. 70 indexed citations
14.
Cressman, Keith & David Hodson. (2009). Surveillance, information sharing and early warning systems for transboundary plant pests diseases: the FAO experience.. Arab Journal Of Plant Protection. 27(2). 226–232. 11 indexed citations
15.
Cressman, Keith. (2008). The Use of New Technologies in Desert Locust Early Warning. Outlooks on Pest Management. 19(2). 55–59. 23 indexed citations
16.
Huis, A. van, Keith Cressman, & J. I. Magor. (2007). Preventing desert locust plagues: optimizing management interventions. Entomologia Experimentalis et Applicata. 122(3). 191–214. 80 indexed citations
17.
Ceccato, Pietro, Keith Cressman, Alessandra Giannini, & S. Trzaska. (2006). The desert locust upsurge in West Africa (2003 – 2005): Information on the desert locust early warning system and the prospects for seasonal climate forecasting. International Journal of Pest Management. 53(1). 7–13. 65 indexed citations
18.
Cressman, Keith. (1996). Current methods of desert locust forecasting at FAO 1. EPPO Bulletin. 26(3-4). 577–585. 14 indexed citations
19.
Healey, Richard, et al.. (1996). A GIS for desert locust forecasting and monitoring. International Journal of Geographical Information Systems. 10(1). 117–136. 16 indexed citations
20.
Healey, Richard, et al.. (1996). A GIS for desert locust forecasting and monitoring. International Journal of Geographical Information Systems. 10(1). 117–136. 6 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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