Neil Best

22 total papers · 1.5k total citations
7 papers, 218 citations indexed

About

Neil Best is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Agronomy and Crop Science. According to data from OpenAlex, Neil Best has authored 7 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Global and Planetary Change and 2 papers in Agronomy and Crop Science. Recurrent topics in Neil Best's work include Climate change impacts on agriculture (5 papers), Climate variability and models (3 papers) and Bioenergy crop production and management (2 papers). Neil Best is often cited by papers focused on Climate change impacts on agriculture (5 papers), Climate variability and models (3 papers) and Bioenergy crop production and management (2 papers). Neil Best collaborates with scholars based in United States, New Zealand and United Kingdom. Neil Best's co-authors include Ian Foster, Joshua Elliott, Michael Glotter, David Kelly, Michael Wilde, James Chryssanthacopoulos, E. J. Moyer, David McInerney, Michael Wang and Jennifer B. Dunn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Environmental Modelling & Software.

In The Last Decade

Neil Best

7 papers receiving 210 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Neil Best 135 98 70 46 38 7 218
Stéphanie Schmid 85 0.6× 144 1.5× 63 0.9× 73 1.6× 24 0.6× 9 307
Kathleen M. Lemon 175 1.3× 136 1.4× 109 1.6× 68 1.5× 26 0.7× 7 314
D. Urban 208 1.5× 123 1.3× 141 2.0× 94 2.0× 84 2.2× 6 322
Xiu Yang 87 0.6× 61 0.6× 207 3.0× 37 0.8× 23 0.6× 14 318
Nitin Chauhan 171 1.3× 83 0.8× 113 1.6× 95 2.1× 16 0.4× 10 275
K.A. Dzotsi 113 0.8× 70 0.7× 142 2.0× 79 1.7× 72 1.9× 8 259
Shaoqiang Ni 67 0.5× 94 1.0× 68 1.0× 35 0.8× 13 0.3× 11 230
Shrikant Jagtap 155 1.1× 133 1.4× 108 1.5× 61 1.3× 47 1.2× 11 329
Geetika Sonkar 111 0.8× 139 1.4× 91 1.3× 39 0.8× 10 0.3× 11 271
Manuel Marcaida 156 1.2× 49 0.5× 236 3.4× 50 1.1× 54 1.4× 10 303

Countries citing papers authored by Neil Best

Since Specialization
Citations

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

Fields of papers citing papers by Neil Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Best

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026