Brian J. Spiesman

859 total citations · 1 hit paper
23 papers, 592 citations indexed

About

Brian J. Spiesman is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Brian J. Spiesman has authored 23 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, Evolution, Behavior and Systematics, 11 papers in Plant Science and 10 papers in Nature and Landscape Conservation. Recurrent topics in Brian J. Spiesman's work include Plant and animal studies (14 papers), Ecology and Vegetation Dynamics Studies (10 papers) and Plant Parasitism and Resistance (8 papers). Brian J. Spiesman is often cited by papers focused on Plant and animal studies (14 papers), Ecology and Vegetation Dynamics Studies (10 papers) and Plant Parasitism and Resistance (8 papers). Brian J. Spiesman collaborates with scholars based in United States, South Africa and Canada. Brian J. Spiesman's co-authors include Brian D. Inouye, Claudio Gratton, Graeme S. Cumming, Brian McCornack, Randall D. Jackson, Yichao Rui, M. Francesca Cotrufo, Matthew D. Ruark, Steve W. Culman and Chao Liang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Brian J. Spiesman

23 papers receiving 578 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Persistent soil carbon enhanced in Mollisols by well-managed grasslands but not annual grain or dairy forage cropping systems

2022 112 citations Yichao Rui, Randall D. Jackson et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian J. Spiesman United States	11	307	187	173	172	141	23	592
Sarah Cusser United States	11	241 0.8×	132 0.7×	118 0.7×	154 0.9×	65 0.5×	17	416
Sophie Kratschmer Austria	14	436 1.4×	340 1.8×	170 1.0×	289 1.7×	148 1.0×	26	751
Aaron L. Iverson United States	11	294 1.0×	238 1.3×	166 1.0×	224 1.3×	150 1.1×	29	721
Daniele Sommaggio Italy	15	556 1.8×	204 1.1×	164 0.9×	420 2.4×	227 1.6×	47	838
Muriel Guernion France	8	349 1.1×	287 1.5×	143 0.8×	190 1.1×	159 1.1×	11	702
Rahayu Widyastuti Indonesia	12	219 0.7×	163 0.9×	116 0.7×	90 0.5×	285 2.0×	72	651
Martin Lappage United Kingdom	7	231 0.8×	124 0.7×	63 0.4×	145 0.8×	78 0.6×	9	426
Sean L. Tuck United Kingdom	3	225 0.7×	261 1.4×	172 1.0×	120 0.7×	240 1.7×	3	683
Flávia Moreira Mota e Mota United Kingdom	1	198 0.6×	212 1.1×	130 0.8×	113 0.7×	191 1.4×	2	548
Soraya Rouifed France	12	332 1.1×	262 1.4×	298 1.7×	69 0.4×	170 1.2×	23	703

Countries citing papers authored by Brian J. Spiesman

Since Specialization

Citations

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

Fields of papers citing papers by Brian J. Spiesman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Spiesman. 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 Brian J. Spiesman. The network helps show where Brian J. Spiesman may publish in the future.

Co-authorship network of co-authors of Brian J. Spiesman

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

All Works

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20 of 20 papers shown

Spiesman, Brian J., et al.. (2024). Deep learning for identifying bee species from images of wings and pinned specimens. PLoS ONE. 19(5). e0303383–e0303383. 3 indexed citations

Iuliano, Benjamin, Claudio Gratton, Tania N. Kim, & Brian J. Spiesman. (2024). Semi‐natural habitat, but not aphid amount or continuity, predicts lady beetle abundance across agricultural landscapes. Journal of Applied Ecology. 61(8). 1881–1893. 1 indexed citations

Spiesman, Brian J., et al.. (2023). Computer vision model for sorghum aphid detection using deep learning. Journal of Agriculture and Food Research. 13. 100652–100652. 6 indexed citations

Rui, Yichao, Randall D. Jackson, M. Francesca Cotrufo, et al.. (2022). Persistent soil carbon enhanced in Mollisols by well-managed grasslands but not annual grain or dairy forage cropping systems. Proceedings of the National Academy of Sciences. 119(7). 112 indexed citations breakdown →

Spiesman, Brian J., et al.. (2022). Image classification of sugarcane aphid density using deep convolutional neural networks. SHILAP Revista de lepidopterología. 3. 100089–100089. 23 indexed citations

Kim, Tania N., Yury V. Bukhman, Michelle A. Jusino, et al.. (2022). Using high-throughput amplicon sequencing to determine diet of generalist lady beetles in agricultural landscapes. Biological Control. 170. 104920–104920. 4 indexed citations

Spiesman, Brian J., et al.. (2022). Image Classification of Sugarcane Aphid Density Using Deep Convolutional Neural Networks. SSRN Electronic Journal. 2 indexed citations

Spiesman, Brian J., Claudio Gratton, Richard G. Hatfield, et al.. (2021). Assessing the potential for deep learning and computer vision to identify bumble bee species from images. Scientific Reports. 11(1). 7580–7580. 66 indexed citations

Spiesman, Brian J., Benjamin Iuliano, & Claudio Gratton. (2020). Temporal Resource Continuity Increases Predator Abundance in a Metapopulation Model: Insights for Conservation and Biocontrol. Land. 9(12). 479–479. 6 indexed citations

10.

Spiesman, Brian J., Ashley B. Bennett, Rufus Isaacs, & Claudio Gratton. (2018). Harvesting effects on wild bee communities in bioenergy grasslands depend on nesting guild. Ecological Applications. 29(2). e01828–e01828. 6 indexed citations

11.

Spiesman, Brian J., et al.. (2017). Carbon storage potential increases with increasing ratio of C4 to C3 grass cover and soil productivity in restored tallgrass prairies. Oecologia. 186(2). 565–576. 9 indexed citations

12.

Spiesman, Brian J. & Claudio Gratton. (2016). Flexible foraging shapes the topology of plant–pollinator interaction networks. Ecology. 97(6). 1431–1441. 34 indexed citations

13.

Spiesman, Brian J., Ashley B. Bennett, Rufus Isaacs, & Claudio Gratton. (2016). Bumble bee colony growth and reproduction depend on local flower dominance and natural habitat area in the surrounding landscape. Biological Conservation. 206. 217–223. 39 indexed citations

14.

Kim, Tania N., et al.. (2016). Contrasting Foraging Patterns: Testing Resource-Concentration and Dilution Effects with Pollinators and Seed Predators. Insects. 7(2). 23–23. 19 indexed citations

15.

Bartrons, Mireia, Claudio Gratton, Brian J. Spiesman, & M. Jake Vander Zanden. (2015). Taking the trophic bypass: aquatic‐terrestrial linkage reduces methylmercury in a terrestrial food web. Ecological Applications. 25(1). 151–159. 29 indexed citations

16.

Spiesman, Brian J. & Brian D. Inouye. (2014). The consequences of multiple indirect pathways of interaction for species coexistence. Theoretical Ecology. 8(2). 225–232. 4 indexed citations

17.

Spiesman, Brian J. & Brian D. Inouye. (2013). Habitat loss alters the architecture of plant–pollinator interaction networks. Ecology. 94(12). 2688–2696. 106 indexed citations

18.

Spiesman, Brian J.. (2012). Effects of Landscape Structure on Biodiversity, Network Architecture, and Ecosystem Function. 1 indexed citations

19.

Spiesman, Brian J. & Graeme S. Cumming. (2007). Communities in context: the influences of multiscale environmental variation on local ant community structure. Landscape Ecology. 23(3). 313–325. 46 indexed citations

20.

Cumming, Graeme S. & Brian J. Spiesman. (2006). Regional problems need integrated solutions: Pest management and conservation biology in agroecosystems. Biological Conservation. 131(4). 533–543. 48 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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