Michael P. Pound

3.8k citations

50 papers · 2.3k indexed · 1 hit paper · h-index 21

Co-authors: Tony Pridmore Darren M. Wells Andrew P. French Jonathan A. Atkinson Malcolm J. Bennett Erik H. Murchie Marcus Griffiths Robail Yasrab
Topics: Smart Agriculture and AI (16 papers)Plant nutrient uptake and metabolism (10 papers)Remote Sensing in Agriculture (9 papers)
Cited by: Plant Science Environmental Engineering Ecology
Journals: Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Plant Cell
Partner nations: United Kingdom United States France

In The Last Decade

Michael P. Pound

45 papers receiving 2.2k citations

Hit Papers

align trajectories

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.

Uncovering the hidden half of plants using new advances in root phenotyping

2018 241 citations Jonathan A. Atkinson, Michael P. Pound et al. profile →

Peers

Countries citing papers authored by Michael P. Pound

Since Specialization

Citations

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

Fields of papers citing papers by Michael P. Pound

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Pound. 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 Michael P. Pound. The network helps show where Michael P. Pound may publish in the future.

Co-authorship network of co-authors of Michael P. Pound

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Pound. A scholar is included among the top collaborators of Michael P. Pound 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 Michael P. Pound. Michael P. Pound 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

#	Work	Indexed citations
1	Deep learning in plant phenotyping: the first ten years 2025 ·Plant Phenomics ·Jordan Ubbens,Ian Stavness,Michael P. Pound,Wei Guo	0
2	Whale Vision: A tool for identifying sperm whales and other cetaceans by their flank or fluke 2025 ·Ecological Informatics ·(unknown),Silvia Maggi,Barbara Mussi,Theodore Kypraios,Michael P. Pound	0
3	Addressing multiple salient object detection via dual-space long-range dependencies 2023 ·Computer Vision and Image Understanding ·(unknown),Andrew P. French,Michael P. Pound	2
4	X‐ray CT reveals 4D root system development and lateral root responses to nitrate in soil 2022 ·SHILAP Revista de lepidopterología ·Marcus Griffiths,Nathan Mellor,Craig J. Sturrock,Brian S. Atkinson,James T. Johnson,Stefan Mairhofer,Larry M. York,Jonathan A. Atkinson,Mohammadreza Soltaninejad,J. Foulkes,Michael P. Pound,Sacha J. Mooney,Tony Pridmore,Malcolm J. Bennett,Darren M. Wells	15
5	GANana: Unsupervised Domain Adaptation for Volumetric Regression of Fruit 2021 ·Plant Phenomics ·(unknown),Aaron S. Jackson,Michael P. Pound,Andrew P. French	12
6	A fusion spatial attention approach for few-shot learning 2021 ·Information Fusion ·(unknown),(unknown),Michael P. Pound,Ender Özcan,Isaac Triguero	19
7	Quantitative Hormone Signaling Output Analyses of Arabidopsis thaliana Interactions With Virulent and Avirulent Hyaloperonospora arabidopsidis Isolates at Single-Cell Resolution 2020 ·Frontiers in Plant Science ·Hassan Ghareeb,Mohamed A. El-Sayed,Michael P. Pound,(unknown),(unknown),Cornelia Herrfurth,Ivo Feußner,Volker Lipka	6
8	RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures 2019 ·GigaScience ·Robail Yasrab,Jonathan A. Atkinson,Darren M. Wells,Andrew P. French,Tony Pridmore,Michael P. Pound	90
9	Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling 2019 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·(unknown),Michael P. Pound,Andrew P. French,Darren M. Wells,Erik H. Murchie,Tony Pridmore	32
10	Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object Tracking 2019 ·PLANT PHYSIOLOGY ·(unknown),Alexandra J. Burgess,Michael P. Pound,Tony Pridmore,Erik H. Murchie	17
11	The 6xABRE Synthetic Promoter Enables the Spatiotemporal Analysis of ABA-Mediated Transcriptional Regulation 2018 ·PLANT PHYSIOLOGY ·Rui Wu,Lina Duan,José L. Pruneda-Paz,Dong‐Ha Oh,Michael P. Pound,Steve A. Kay,José R. Dinneny	83
12	Plant Phenotyping: An Active Vision Cell for Three-Dimensional Plant Shoot Reconstruction 2018 ·PLANT PHYSIOLOGY ·(unknown),Michael P. Pound,Andrew P. French,Darren M. Wells,Erik H. Murchie,Tony Pridmore	43
13	Deep machine learning provides state-of-the-art performance in image-based plant phenotyping 2017 ·GigaScience ·Michael P. Pound,Jonathan A. Atkinson,Alexandra J. Townsend,Michael Wilson,Marcus Griffiths,Aaron S. Jackson,Adrian Bulat,Georgios Tzimiropoulos,Darren M. Wells,Erik H. Murchie,Tony Pridmore,Andrew P. French	246
14	AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotyping 2017 ·Plant Methods ·Michael P. Pound,(unknown),Mercedes Torres Torres,Brian Forde,Andrew P. French	12
15	The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse applications in chemical biology 2017 ·Plant Methods ·(unknown),(unknown),Geoff H. Holroyd,Andrew P. French,Michael P. Pound,Christopher Bigley,C. James Taylor,Brian Forde	16
16	Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems 2016 ·Annals of Botany ·Alexandra J. Burgess,Renata Retkutė,Michael P. Pound,Sean Mayes,Erik H. Murchie	29
17	Three-dimensional reconstruction of plant shoots from multiple images using an active vision system 2015 ·Repository@Nottingham (University of Nottingham) ·(unknown),Michael P. Pound,Darren M. Wells,Erik H. Murchie,Andrew P. French,Tony Pridmore	1
18	High-Resolution Three-Dimensional Structural Data Quantify the Impact of Photoinhibition on Long-Term Carbon Gain in Wheat Canopies in the Field 2015 ·PLANT PHYSIOLOGY ·Alexandra J. Burgess,Renata Retkutė,Michael P. Pound,J. Foulkes,Simon Preston,Oliver E. Jensen,Tony Pridmore,Erik H. Murchie	54
19	Phenotyping pipeline reveals major seedling root growth QTL in hexaploid wheat 2015 ·Journal of Experimental Botany ·Jonathan A. Atkinson,Luzie U. Wingen,Marcus Griffiths,Michael P. Pound,Oorbessy Gaju,J. Foulkes,Jacques Le Gouis,Simon Griffiths,Malcolm J. Bennett,Julie King,Darren M. Wells	166
20	Root System Markup Language: Toward a Unified Root Architecture Description Language 2015 ·PLANT PHYSIOLOGY ·Guillaume Lobet,Michael P. Pound,(unknown),Christophe Pradal,Xavier Draye,Christophe Godin,Mathieu Javaux,Daniel Leitner,Félicien Meunier,Philippe Nacry,Tony Pridmore,Andrea Schnepf	86

About Michael P. Pound

Michael P. Pound is a scholar working on Biophysics, Environmental Engineering and Plant Science, having authored 50 papers that have together received 2.3k indexed citations. Recurring topics across this work include Smart Agriculture and AI (16 papers), Plant nutrient uptake and metabolism (10 papers) and Remote Sensing in Agriculture (9 papers). The work is most often cited by research in Plant Science (1.8k citations), Environmental Engineering (299 citations) and Ecology (444 citations). Michael P. Pound has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Tony Pridmore, Darren M. Wells, Andrew P. French, Jonathan A. Atkinson, Malcolm J. Bennett, Erik H. Murchie, Marcus Griffiths, Robail Yasrab, Alexander L. Bowler and Alexandra J. Burgess. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Plant Cell.

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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