Daniel Reynolds

1.7k total citations
8 papers, 333 citations indexed

About

Daniel Reynolds is a scholar working on Plant Science, Ecology and Ecological Modeling. According to data from OpenAlex, Daniel Reynolds has authored 8 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Ecology and 3 papers in Ecological Modeling. Recurrent topics in Daniel Reynolds's work include Smart Agriculture and AI (4 papers), Remote Sensing in Agriculture (4 papers) and Species Distribution and Climate Change (3 papers). Daniel Reynolds is often cited by papers focused on Smart Agriculture and AI (4 papers), Remote Sensing in Agriculture (4 papers) and Species Distribution and Climate Change (3 papers). Daniel Reynolds collaborates with scholars based in United Kingdom, China and Saudi Arabia. Daniel Reynolds's co-authors include Ji Zhou, Joshua Ball, Simon Griffiths, Aaron Bostrom, François Tardieu, Robert Davey, Frédéric Baret, Claude Welcker, Francesco Cellini and Argelia Lorence and has published in prestigious journals such as New Phytologist, Plant Science and Plant Methods.

In The Last Decade

Daniel Reynolds

8 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Reynolds United Kingdom 6 277 126 50 47 42 8 333
Jordan Ubbens Canada 7 390 1.4× 189 1.5× 71 1.4× 79 1.7× 56 1.3× 9 499
Joshua Chopin Australia 7 285 1.0× 153 1.2× 26 0.5× 84 1.8× 63 1.5× 11 338
Afef Marzougui United States 10 209 0.8× 133 1.1× 24 0.5× 39 0.8× 43 1.0× 15 291
Abbas Atefi United States 8 310 1.1× 193 1.5× 44 0.9× 124 2.6× 38 0.9× 12 437
Kyle Parmley United States 6 235 0.8× 57 0.5× 58 1.2× 40 0.9× 16 0.4× 8 275
Kelvin Acebron Germany 8 217 0.8× 106 0.8× 23 0.5× 80 1.7× 19 0.5× 13 365
Henry Ruiz United States 7 488 1.8× 153 1.2× 20 0.4× 97 2.1× 57 1.4× 14 572
Michael Friedli Switzerland 8 241 0.9× 147 1.2× 39 0.8× 11 0.2× 77 1.8× 11 312
Hsiang Sing Naik United States 4 290 1.0× 70 0.6× 56 1.1× 54 1.1× 15 0.4× 4 323
Thomas Vatter Spain 10 328 1.2× 118 0.9× 53 1.1× 53 1.1× 31 0.7× 16 396

Countries citing papers authored by Daniel Reynolds

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Reynolds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Reynolds

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

All Works

8 of 8 papers shown
1.
O’Neill, Carmel M., Rachel Wells, Aaron Bostrom, et al.. (2020). SeedGerm: a cost‐effective phenotyping platform for automated seed imaging and machine‐learning based phenotypic analysis of crop seed germination. New Phytologist. 228(2). 778–793. 72 indexed citations
3.
Reynolds, Daniel, et al.. (2019). An Exploration of Deep-Learning Based Phenotypic Analysis to Detect Spike Regions in Field Conditions for UK Bread Wheat. Plant Phenomics. 2019. 7368761–7368761. 29 indexed citations
4.
Reynolds, Daniel. (2019). Media in Mind. Oxford University Press eBooks. 2 indexed citations
5.
Reynolds, Daniel, Frédéric Baret, Claude Welcker, et al.. (2018). What is cost-efficient phenotyping? Optimizing costs for different scenarios. Plant Science. 282. 14–22. 111 indexed citations
6.
Zhou, Ji, François Tardieu, Tony Pridmore, et al.. (2018). Plant phenomics:: history, present status and challenges. UEA Digital Repository (University of East Anglia). 41(4). 580–588. 23 indexed citations
7.
Zhou, Ji, Daniel Reynolds, Simon Orford, et al.. (2017). Leaf-GP: an open and automated software application for measuring growth phenotypes for arabidopsis and wheat. Plant Methods. 13(1). 117–117. 35 indexed citations
8.
Reynolds, Daniel, et al.. (1997). Local research ethics committees. BMJ. 315(7120). 1464–1464. 1 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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