David Baird

1.7k total citations
72 papers, 1.4k citations indexed

About

David Baird is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, David Baird has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Insect Science, 17 papers in Ecology, Evolution, Behavior and Systematics and 15 papers in Ecology. Recurrent topics in David Baird's work include Insect-Plant Interactions and Control (16 papers), Forest Insect Ecology and Management (11 papers) and Soil Carbon and Nitrogen Dynamics (11 papers). David Baird is often cited by papers focused on Insect-Plant Interactions and Control (16 papers), Forest Insect Ecology and Management (11 papers) and Soil Carbon and Nitrogen Dynamics (11 papers). David Baird collaborates with scholars based in New Zealand, United States and China. David Baird's co-authors include S.L. Goldson, J.R. Proffitt, Theresa Wilson, M.R. McNeill, C.B. Phillips, James D. Morton, Maureen O’Callaghan, John C. McEwan, Amonida Zadissa and Orla M. Keane and has published in prestigious journals such as Bioinformatics, Journal of Bone and Joint Surgery and Biometrics.

In The Last Decade

David Baird

70 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Baird New Zealand 23 438 350 284 243 199 72 1.4k
P. D. Johnstone New Zealand 21 128 0.3× 111 0.3× 199 0.7× 255 1.0× 268 1.3× 103 1.3k
Marco Antônio de Oliveira Brazil 21 201 0.5× 243 0.7× 178 0.6× 235 1.0× 197 1.0× 74 1.4k
Bianca Wagner Germany 10 239 0.5× 165 0.5× 353 1.2× 143 0.6× 149 0.7× 10 973
Juan M. Sánchez‐Guzmán Spain 23 186 0.4× 473 1.4× 1.1k 3.9× 83 0.3× 79 0.4× 115 1.9k
John Huber United States 29 584 1.3× 849 2.4× 363 1.3× 480 2.0× 975 4.9× 77 2.9k
A. Waterhouse United Kingdom 32 172 0.4× 272 0.8× 556 2.0× 216 0.9× 827 4.2× 91 2.5k
Damian Collins Australia 20 171 0.4× 198 0.6× 190 0.7× 437 1.8× 33 0.2× 55 1.4k
Stéphane Boyer New Zealand 22 363 0.8× 530 1.5× 824 2.9× 200 0.8× 251 1.3× 79 1.9k
David Hirst United Kingdom 14 78 0.2× 64 0.2× 243 0.9× 195 0.8× 140 0.7× 26 922
Zohar Pasternak Israel 24 435 1.0× 110 0.3× 697 2.5× 280 1.2× 256 1.3× 54 2.0k

Countries citing papers authored by David Baird

Since Specialization
Citations

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

Fields of papers citing papers by David Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Baird

This figure shows the co-authorship network connecting the top 25 collaborators of David Baird. A scholar is included among the top collaborators of David Baird 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 David Baird. David Baird 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.
Ellison, Mark D., Michael Bonfiglio, Anne‐Marie Russell, et al.. (2025). Electrokinetic Motion of Neurotransmitter Ions through a 1.01 nm Diameter Single-Walled Carbon Nanotube. The Journal of Physical Chemistry C. 129(11). 5472–5482.
2.
Hu, Wei, et al.. (2024). Soil macroaggregate-occluded mineral-associated organic carbon drives the response of soil organic carbon to land use change. Soil and Tillage Research. 244. 106271–106271. 6 indexed citations
3.
Hu, Wei, et al.. (2023). Response of soil organic carbon stock to land use is modulated by soil hydraulic properties. Soil and Tillage Research. 233. 105793–105793. 7 indexed citations
4.
Hu, Wei, et al.. (2019). Effects of tillage, compaction and nitrogen inputs on crop production and nitrogen losses following simulated forage crop grazing. Agriculture Ecosystems & Environment. 289. 106733–106733. 10 indexed citations
5.
Thomas, S., et al.. (2019). Tillage, compaction and wetting effects on NO3, N2O and N2 losses. Soil Research. 57(6). 670–688. 23 indexed citations
6.
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8.
Singh, Kusum, Adrian Molenaar, K. Stelwagen, et al.. (2004). The use of cDNA microarrays to investigate changes in gene expression in the involuting bovine mammary gland. Proceedings of the New Zealand Society of Animal Production. 64. 8–10. 1 indexed citations
9.
Baird, David, P. D. Johnstone, & Theresa Wilson. (2004). Normalization of microarray data using a spatial mixed model analysis which includes splines. Bioinformatics. 20(17). 3196–3205. 36 indexed citations
10.
Goldson, S.L., J.R. Proffitt, L.R. Fletcher, & David Baird. (2000). Multitrophic interaction between the ryegrass Lolium perenne , its endophyte Neotyphodium lolii , the weevil pest Listronotus bonariensis , and its parasitoid Microctonus hyperodae. New Zealand Journal of Agricultural Research. 43(2). 227–233. 24 indexed citations
11.
Scales, G. H., A. R. Bray, David Baird, D. O’Connell, & T.L. Knight. (2000). Effect of sire breed on growth, carcass, and wool characteristics of lambs born to Merino ewes in New Zealand. New Zealand Journal of Agricultural Research. 43(1). 93–100. 32 indexed citations
12.
Morton, James D., et al.. (2000). A soil sampling protocol to minimise the spatial variability in soil test values in New Zealand hill country. New Zealand Journal of Agricultural Research. 43(3). 367–375. 22 indexed citations
13.
Dr, Scobie, et al.. (1998). A Rapid Method for the Measurement of Wool Volume and Density. Journal of the Textile Institute. 89(3). 449–456. 2 indexed citations
14.
Payne, R. W., P. W. Lane, David Baird, et al.. (1997). Genstat for Windows command language manual. Rothamsted Repository (Rothamsted Repository). 4 indexed citations
15.
Payne, R. W., P. W. Lane, David Baird, et al.. (1996). Genstat 5 Release 3.2 Command Language Manual. Rothamsted Repository (Rothamsted Repository). 17 indexed citations
16.
Payne, R. W., P. W. Lane, David Baird, et al.. (1995). Genstat for Windows reference summary. Rothamsted Repository (Rothamsted Repository). 1 indexed citations
17.
Hayes, John W. & David Baird. (1994). Estimating relative abundance of juvenile brown trout in rivers by underwater census and electrofishing. New Zealand Journal of Marine and Freshwater Research. 28(3). 243–253. 28 indexed citations
18.
Townsend, R.J., et al.. (1991). Mixed and separate grazing of sheep and goats at two stocking rates. New Zealand Journal of Agricultural Research. 34(2). 167–176. 20 indexed citations
19.
Morton, James D. & David Baird. (1990). Spatial distribution of dung patches under sheep grazing. New Zealand Journal of Agricultural Research. 33(2). 285–294. 33 indexed citations
20.
Baird, David, et al.. (1989). Increase in the proportion of endophyte‐infected perennial ryegrass plants in overdrilled pastures. New Zealand Journal of Agricultural Research. 32(3). 437–440. 33 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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