Col R. Ford

1.4k total citations
15 papers, 895 citations indexed

About

Col R. Ford is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Insect Science. According to data from OpenAlex, Col R. Ford has authored 15 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, Evolution, Behavior and Systematics, 7 papers in Genetics and 7 papers in Insect Science. Recurrent topics in Col R. Ford's work include Plant and animal studies (8 papers), Insect and Pesticide Research (7 papers) and Insect and Arachnid Ecology and Behavior (6 papers). Col R. Ford is often cited by papers focused on Plant and animal studies (8 papers), Insect and Pesticide Research (7 papers) and Insect and Arachnid Ecology and Behavior (6 papers). Col R. Ford collaborates with scholars based in United Kingdom, Denmark and United States. Col R. Ford's co-authors include Natasha de Vere, Matthew Hegarty, Laura Jones, J. Allainguillaume, Jennifer Hawkins, Les Baillie, Beverley Adams‐Groom, Matthew D. Higgins, Erik Kampert and Simon Creer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Col R. Ford

15 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Col R. Ford United Kingdom	11	485	326	259	212	200	15	895
Abdulrahman S. Aldawood Saudi Arabia	19	527 1.1×	460 1.4×	626 2.4×	94 0.4×	189 0.9×	141	1.3k
Kim Bjerge Denmark	12	240 0.5×	264 0.8×	214 0.8×	195 0.9×	80 0.4×	25	850
Marco Porporato Italy	17	715 1.5×	720 2.2×	645 2.5×	82 0.4×	32 0.2×	43	955
Agenor Mafra‐Neto United States	25	271 0.6×	1.2k 3.7×	397 1.5×	323 1.5×	127 0.6×	75	1.7k
Kun Xing China	15	95 0.2×	234 0.7×	109 0.4×	210 1.0×	130 0.7×	55	847
Panagiotis A. Eliopoulos Greece	22	268 0.6×	1.1k 3.3×	145 0.6×	174 0.8×	302 1.5×	72	1.4k
Ohseok Kwon South Korea	12	156 0.3×	235 0.7×	124 0.5×	89 0.4×	39 0.2×	73	486
Chunsheng Wu China	11	192 0.4×	112 0.3×	255 1.0×	55 0.3×	150 0.8×	92	577
Chun‐Neng Wang Taiwan	20	590 1.2×	54 0.2×	163 0.6×	79 0.4×	971 4.9×	71	1.7k
G. Polder Netherlands	23	92 0.2×	140 0.4×	68 0.3×	595 2.8×	145 0.7×	75	2.3k

Countries citing papers authored by Col R. Ford

Since Specialization

Citations

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

Fields of papers citing papers by Col R. Ford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Col R. Ford. 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 Col R. Ford. The network helps show where Col R. Ford may publish in the future.

Co-authorship network of co-authors of Col R. Ford

This figure shows the co-authorship network connecting the top 25 collaborators of Col R. Ford. A scholar is included among the top collaborators of Col R. Ford 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 Col R. Ford. Col R. Ford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Brown, Max R., Peter M. Hollingsworth, Laura L. Forrest, et al.. (2023). Genetic factors predict hybrid formation in the British flora. Proceedings of the National Academy of Sciences. 120(16). e2220261120–e2220261120. 8 indexed citations

Jones, Laura, et al.. (2022). Temporal Patterns of Honeybee Foraging in a Diverse Floral Landscape Revealed Using Pollen DNA Metabarcoding of Honey. Integrative and Comparative Biology. 62(2). 199–210. 16 indexed citations

Jones, Laura, Georgina Brennan, Abigail Lowe, et al.. (2021). Shifts in honeybee foraging reveal historical changes in floral resources. Communications Biology. 4(1). 37–37. 45 indexed citations

Jones, Laura, Alex D. Twyford, Col R. Ford, et al.. (2021). Barcode UK: A complete DNA barcoding resource for the flowering plants and conifers of the United Kingdom. Molecular Ecology Resources. 21(6). 2050–2062. 50 indexed citations

Kampert, Erik, et al.. (2020). 3D Mapping Methods and Consistency Checks to Exclude GNSS Multipath/NLOS Effects. Warwick Research Archive Portal (University of Warwick). 1–4. 2 indexed citations

Kampert, Erik, et al.. (2020). GNSS Vulnerabilities and Existing Solutions: A Review of the Literature. IEEE Access. 9. 153960–153976. 107 indexed citations

Griffith, Gareth, Caitlin Potter, Natasha de Vere, et al.. (2019). High-throughput DNA sequencing defines spatiotemporal shifts in airborne grass pollen communities at species level. Queensland's institutional digital repository (The University of Queensland). 3 indexed citations

Potter, Caitlin, Natasha de Vere, Laura Jones, et al.. (2019). Pollen metabarcoding reveals broad and species-specific resource use by urban bees. PeerJ. 7. e5999–e5999. 31 indexed citations

Kampert, Erik, et al.. (2019). Evaluating Machine Learning & Antenna Placement for Enhanced GNSS Accuracy for CAVs. Warwick Research Archive Portal (University of Warwick). 1007–1012. 5 indexed citations

10.

Kampert, Erik, et al.. (2019). Infrastructure Wi-Fi for connected autonomous vehicle positioning: A review of the state-of-the-art. Vehicular Communications. 20. 100185–100185. 35 indexed citations

11.

Bodger, Owen, Berry J. Brosi, Col R. Ford, et al.. (2018). Generalisation and specialisation in hoverfly (Syrphidae) grassland pollen transport networks revealed by DNA metabarcoding. Journal of Animal Ecology. 87(4). 1008–1021. 66 indexed citations

12.

Bodger, Owen, Berry J. Brosi, Col R. Ford, et al.. (2018). Floral resource partitioning by individuals within generalised hoverfly pollination networks revealed by DNA metabarcoding. Scientific Reports. 8(1). 5133–5133. 54 indexed citations

13.

Vere, Natasha de, Laura Jones, Abigail Lowe, et al.. (2017). Using DNA metabarcoding to investigate honey bee foraging reveals limited flower use despite high floral availability. Scientific Reports. 7(1). 42838–42838. 124 indexed citations

14.

Hawkins, Jennifer, Natasha de Vere, Col R. Ford, et al.. (2015). Using DNA Metabarcoding to Identify the Floral Composition of Honey: A New Tool for Investigating Honey Bee Foraging Preferences. PLoS ONE. 10(8). e0134735–e0134735. 206 indexed citations

15.

Vere, Natasha de, Tim C. G. Rich, Col R. Ford, et al.. (2012). DNA Barcoding the Native Flowering Plants and Conifers of Wales. PLoS ONE. 7(6). e37945–e37945. 143 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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