J. M. Young

685 total citations · 1 hit paper
8 papers, 525 citations indexed

About

J. M. Young is a scholar working on Atmospheric Science, Water Science and Technology and Ecology. According to data from OpenAlex, J. M. Young has authored 8 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atmospheric Science, 3 papers in Water Science and Technology and 2 papers in Ecology. Recurrent topics in J. M. Young's work include Climate change and permafrost (4 papers), Hydrology and Watershed Management Studies (3 papers) and Plant Water Relations and Carbon Dynamics (2 papers). J. M. Young is often cited by papers focused on Climate change and permafrost (4 papers), Hydrology and Watershed Management Studies (3 papers) and Plant Water Relations and Carbon Dynamics (2 papers). J. M. Young collaborates with scholars based in United States, Australia and United Kingdom. J. M. Young's co-authors include Greg A. Barron‐Gafford, Travis E. Huxman, Kiona Ogle, David T. Tissue, Michael E. Loik, Lisa Patrick Bentley, Jarrett J. Barber, G. Darrel Jenerette, Russell L. Scott and Erik P. Hamerlynck and has published in prestigious journals such as Global Change Biology, Ecology Letters and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

J. M. Young

8 papers receiving 517 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.

Quantifying ecological memory in plant and ecosystem processes

2014 331 citations Kiona Ogle, Jarrett J. Barber et al. Ecology Letters profile →

Peers

J. M. Young

GPC

AS

NLC

ECOLO

PS

Andrea Woodward United States

Guangqi Li United Kingdom

Багила Майсупова Kazakhstan

James A. Johnstone United States

J. T. Randerson United States

Alejandro Araujo‐Murakami United Kingdom

Caitlin M. Andrews United States

Florian Detsch Germany

Mauricio Costa Brazil

L.J. Allison

Andrea Woodward United States

J. M. Young

225 ×0.7

GPC

249 ×1.1

AS

213 ×1.3

NLC

159 ×1.3

ECOLO

37 ×0.7

PS

Citations per year, relative to J. M. Young J. M. Young (= 1×) peers Andrea Woodward

Countries citing papers authored by J. M. Young

Since Specialization

Citations

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

Fields of papers citing papers by J. M. Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. M. Young

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

All Works

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8 of 8 papers shown

1.

Throckmorton, H., Brent D. Newman, Jeffrey M. Heikoop, et al.. (2016). Active layer hydrology in an arctic tundra ecosystem: quantifying water sources and cycling using water stable isotopes. Hydrological Processes. 30(26). 4972–4986. 74 indexed citations

2.

Morton, Douglas M., et al.. (2014). Hydrological Parameter Estimation (HYPE) System for Bayesian Exploration of Parameter Sensitivities in an Arctic Watershed. 2014 AGU Fall Meeting. 2014. 1 indexed citations

3.

Ogle, Kiona, Jarrett J. Barber, Greg A. Barron‐Gafford, et al.. (2014). Quantifying ecological memory in plant and ecosystem processes. Ecology Letters. 18(3). 221–235. 331 indexed citations breakdown →

4.

Tucker, Colin, J. M. Young, David G. Williams, & Kiona Ogle. (2014). Process-based isotope partitioning of winter soil respiration in a subalpine ecosystem reveals importance of rhizospheric respiration. Biogeochemistry. 121(2). 389–408. 19 indexed citations

5.

Raz‐Yaseef, Naama, J. M. Young, T. Rahn, et al.. (2014). Measuring diurnal cycles of evapotranspiration in the Arctic with an automated chamber system. Ecohydrology. 8(4). 652–659. 9 indexed citations

6.

Young, J. M., et al.. (2013). Toward Improved Parameterization of a Meso-Scale Hydrologic Model in a Discontinuous Permafrost, Boreal Forest Ecosystem. AGU Fall Meeting Abstracts. 2013. 1 indexed citations

7.

Scott, Russell L., Travis E. Huxman, Greg A. Barron‐Gafford, et al.. (2013). When vegetation change alters ecosystem water availability. Global Change Biology. 20(7). 2198–2210. 83 indexed citations

8.

Adelman, Saul J., et al.. (1984). Optical region elemental abundance analyses of B and A stars - II. The hot AM stars o Pegasi and Aquarii and the marginal peculiar A star Cancri. Monthly Notices of the Royal Astronomical Society. 206(3). 649–660. 7 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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