John W. Moser

1.1k total citations
21 papers, 720 citations indexed

About

John W. Moser is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, John W. Moser has authored 21 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nature and Landscape Conservation, 8 papers in Environmental Engineering and 5 papers in Global and Planetary Change. Recurrent topics in John W. Moser's work include Forest ecology and management (10 papers), Remote Sensing and LiDAR Applications (8 papers) and Forest Management and Policy (5 papers). John W. Moser is often cited by papers focused on Forest ecology and management (10 papers), Remote Sensing and LiDAR Applications (8 papers) and Forest Management and Policy (5 papers). John W. Moser collaborates with scholars based in United States, United Kingdom and Germany. John W. Moser's co-authors include Thomas B. Lynch, KaDonna C. Randolph, Christian Keyser, Klaus Heidemann, Hirohisa Hara, C. M. Korendyke, S. H. Myers, R. Hagood, J. A. Tandy and Ady James and has published in prestigious journals such as Forest Ecology and Management, Communications on Pure and Applied Mathematics and Canadian Journal of Forest Research.

In The Last Decade

John W. Moser

19 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John W. Moser United States 10 295 211 195 175 163 21 720
J. D. Means United States 16 282 1.0× 109 0.5× 30 0.2× 764 4.4× 388 2.4× 26 1.3k
M. W. L. Smith United Kingdom 28 164 0.6× 224 1.1× 28 0.1× 1.7k 9.9× 9 0.1× 109 2.1k
X. Y. Li China 12 51 0.2× 44 0.2× 156 0.8× 3 0.0× 22 0.1× 47 566
Francesc Ferrer United States 23 14 0.0× 78 0.4× 80 0.4× 1.0k 5.7× 49 0.3× 51 1.4k
K. Ware United States 11 219 0.7× 137 0.6× 4 0.0× 14 0.1× 118 0.7× 39 483
Carmela Curró Italy 17 42 0.1× 123 0.6× 182 0.9× 10 0.1× 46 0.3× 47 603
J. Y. Lu China 21 38 0.1× 31 0.1× 12 0.1× 1.2k 6.8× 97 0.6× 136 1.4k
Liyun Zhang China 20 43 0.1× 80 0.4× 11 0.1× 787 4.5× 17 0.1× 101 1.2k
Michael P. Strand United States 11 24 0.1× 21 0.1× 53 0.3× 9 0.1× 27 0.2× 15 519
D. Allard France 15 28 0.1× 163 0.8× 18 0.1× 338 1.9× 170 1.0× 22 1.1k

Countries citing papers authored by John W. Moser

Since Specialization
Citations

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

Fields of papers citing papers by John W. Moser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Moser. 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 John W. Moser. The network helps show where John W. Moser may publish in the future.

Co-authorship network of co-authors of John W. Moser

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Moser. A scholar is included among the top collaborators of John W. Moser 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 John W. Moser. John W. Moser 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.
Sathyamoorthy, Madhankumar, et al.. (2019). Tracking tidal volume noninvasively in volunteers using a tightly controlled temperature‐based device: A proof of concept paper. The Clinical Respiratory Journal. 14(3). 260–266. 1 indexed citations
2.
Vourlidas, A., Georgios Chintzoglou, C. M. Korendyke, et al.. (2016). Investigation of the Chromosphere–Corona Interface with the Upgraded Very High Angular Resolution Ultraviolet Telescope (VAULT2.0). Journal of Astronomical Instrumentation. 5(1). 4 indexed citations
3.
Lerman, Jerrold, et al.. (2016). Linshom respiratory monitoring device: a novel temperature-based respiratory monitor. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 63(10). 1154–1160. 13 indexed citations
4.
Hedin, Jonas, F. Giovane, J. Gumbel, et al.. (2014). The MAGIC meteoric smoke particle sampler. Journal of Atmospheric and Solar-Terrestrial Physics. 118. 127–144. 9 indexed citations
5.
Korendyke, C. M., C. M. Brown, Roger J. Thomas, et al.. (2006). Optics and mechanisms for the Extreme-Ultraviolet Imaging Spectrometer on the Solar-B satellite. Applied Optics. 45(34). 8674–8674. 53 indexed citations
6.
Shao, Guofan, et al.. (2006). ArcFVS: An integration of a Geographic Information System and Forest Vegetation Simulator. Science in China. Series E, Technological sciences. 49(S1). 35–44. 2 indexed citations
7.
Zhao, Guang, Guofan Shao, Keith M. Reynolds, et al.. (2005). Digital Forestry: A White Paper. Journal of Forestry. 103(1). 47–50. 16 indexed citations
8.
Moser, John W., et al.. (2000). A compatible growth and yield model for the management of mixed tropical rain forest. Canadian Journal of Forest Research. 30(2). 311–323. 6 indexed citations
9.
Moser, John W., et al.. (2000). A compatible growth and yield model for the management of mixed tropical rain forest. Canadian Journal of Forest Research. 30(2). 311–323. 7 indexed citations
10.
Moser, John W., et al.. (1998). A method for classifying commercial tree species of an uneven-aged mixed species tropical forest for growth and yield model construction. Forest Ecology and Management. 104(1-3). 89–99. 25 indexed citations
11.
Moser, John W., et al.. (1990). A Programmable Calculator-Assisted Procedure for Marking Unevenaged Stands. Northern Journal of Applied Forestry. 7(3). 140–142. 1 indexed citations
12.
Lynch, Thomas B. & John W. Moser. (1986). A Growth Model for Mixed Species Stands. Forest Science. 32(3). 697–706. 28 indexed citations
13.
Moser, John W., et al.. (1983). A Generalized Framework for Projecting Forest Yield and Stand Structure Using Diameter Distributions. Forest Science. 29(1). 85–95. 129 indexed citations
14.
Moser, John W., et al.. (1979). Evaluation of a Growth Projection System for Uneven-aged Northern Hardwoods. Journal of Forestry. 77(7). 421–423.
15.
Moser, John W., et al.. (1973). A Markov Chain Approach to the Prediction of Diameter Distributions in Uneven-aged Forest Stands. Canadian Journal of Forest Research. 3(3). 409–417. 27 indexed citations
16.
Moser, John W.. (1972). Dynamics of an Uneven-Aged Forest Stand. Forest Science. 18(3). 184–191. 48 indexed citations
17.
Moser, John W.. (1970). The regularization of the Kepler problem and the averaging method.. Bulletin of the American Astronomical Society. 2. 249–250. 1 indexed citations
18.
Moser, John W.. (1970). Regularization of kepler's problem and the averaging method on a manifold. Communications on Pure and Applied Mathematics. 23(4). 609–636. 303 indexed citations
19.
Moser, John W. & Thomas W. Beers. (1969). Parameter Estimation in Nonlinear Volume Equations. Journal of Forestry. 67(12). 878–879. 1 indexed citations
20.
Moser, John W., et al.. (1969). Deriving Growth and Yield Functions for Uneven-Aged Forest Stands. Forest Science. 15(2). 183–188. 39 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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