J. Richardson

1.1k total citations
30 papers, 814 citations indexed

About

J. Richardson is a scholar working on Mechanics of Materials, Agronomy and Crop Science and Environmental Engineering. According to data from OpenAlex, J. Richardson has authored 30 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanics of Materials, 9 papers in Agronomy and Crop Science and 9 papers in Environmental Engineering. Recurrent topics in J. Richardson's work include Forest Biomass Utilization and Management (10 papers), Bioenergy crop production and management (9 papers) and Remote Sensing and LiDAR Applications (8 papers). J. Richardson is often cited by papers focused on Forest Biomass Utilization and Management (10 papers), Bioenergy crop production and management (9 papers) and Remote Sensing and LiDAR Applications (8 papers). J. Richardson collaborates with scholars based in United States, Canada and Sweden. J. Richardson's co-authors include L. Monika Moskal, Soo‐Hyung Kim, Rolf Björheden, Pentti Hakkila, A. T. Lowe, C. Tattersall Smith, Philip W. Gassman, Todd Campbell, R. Eugene Turner and Sergey S. Rabotyagov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Remote Sensing of Environment and Sensors.

In The Last Decade

J. Richardson

28 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Richardson United States 13 367 304 282 197 143 30 814
Mattias Lundblad Sweden 13 192 0.5× 472 1.6× 148 0.5× 170 0.9× 64 0.4× 24 710
Giuliana Zanchi Sweden 15 251 0.7× 484 1.6× 179 0.6× 188 1.0× 137 1.0× 28 833
Sergey Zudin Finland 13 173 0.5× 506 1.7× 172 0.6× 274 1.4× 130 0.9× 20 873
Cecilia Akselsson Sweden 21 142 0.4× 438 1.4× 379 1.3× 253 1.3× 117 0.8× 62 1.2k
M. L. Gytarsky Russia 6 479 1.3× 997 3.3× 412 1.5× 586 3.0× 74 0.5× 12 1.7k
T. Krug Brazil 5 511 1.4× 1.1k 3.6× 506 1.8× 588 3.0× 76 0.5× 8 1.8k
Derek Sidders Canada 18 88 0.2× 392 1.3× 206 0.7× 228 1.2× 145 1.0× 37 931
Meghdad Jourgholami Iran 21 103 0.3× 451 1.5× 218 0.8× 263 1.3× 604 4.2× 76 1.1k
Carlos Pedro Boëchat Soares Brazil 19 373 1.0× 347 1.1× 237 0.8× 733 3.7× 83 0.6× 111 1.2k
César Pérez‐Cruzado Spain 22 311 0.8× 461 1.5× 171 0.6× 525 2.7× 119 0.8× 57 1.1k

Countries citing papers authored by J. Richardson

Since Specialization
Citations

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

Fields of papers citing papers by J. Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Richardson

This figure shows the co-authorship network connecting the top 25 collaborators of J. Richardson. A scholar is included among the top collaborators of J. Richardson 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. Richardson. J. Richardson 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.
Richardson, J., Christian E. Torgersen, & L. Monika Moskal. (2019). Lidar-based approaches for estimating solar insolation in heavily forested streams. Hydrology and earth system sciences. 23(7). 2813–2822. 10 indexed citations
2.
Richardson, J.. (2018). Lidar-based modelling approaches for estimating solar insolation in heavily forested streams. Data Archiving and Networked Services (DANS). 2 indexed citations
3.
Richardson, J. & L. Monika Moskal. (2015). Urban food crop production capacity and competition with the urban forest. Urban forestry & urban greening. 15. 58–64. 22 indexed citations
4.
Kling, Catherine L., Yiannis Panagopoulos, Sergey S. Rabotyagov, et al.. (2014). LUMINATE: linking agricultural land use, local water quality and Gulf of Mexico hypoxia. European Review of Agricultural Economics. 41(3). 431–459. 44 indexed citations
5.
Richardson, J. & J. G. Isebrands. (2013). Poplars and willows: trees for society and the environment.. 35–37. 2 indexed citations
6.
Nackley, Lloyd L., et al.. (2013). Bioenergy that supports ecological restoration. Frontiers in Ecology and the Environment. 11(10). 535–540. 21 indexed citations
7.
Richardson, J., et al.. (2011). Uncertainty in biomass supply estimates: Lessons from a Yakama Nation case study. Biomass and Bioenergy. 35(8). 3698–3707. 14 indexed citations
8.
Richardson, J. & Nicoletta Adamo‐Villani. (2011). A Virtual Embedded Microcontroller Laboratory for Undergraduate Education: Development and Evaluation. 74(3). 8 indexed citations
9.
Richardson, J. & L. Monika Moskal. (2011). Strengths and limitations of assessing forest density and spatial configuration with aerial LiDAR. Remote Sensing of Environment. 115(10). 2640–2651. 54 indexed citations
10.
Richardson, J., L. Monika Moskal, & Soo‐Hyung Kim. (2009). Modeling approaches to estimate effective leaf area index from aerial discrete-return LIDAR. Agricultural and Forest Meteorology. 149(6-7). 1152–1160. 219 indexed citations
11.
Richardson, J., Gai Harrison, & Graham Parkhurst. (2007). Public understanding of sustainable transport: A report to the Department for Environment, Food and Rural Affairs. UWE Research Repository (UWE Bristol). 6 indexed citations
12.
Richardson, J., et al.. (2006). Designing and Implementing a Virtual 3D Microcontroller Laboratory Environment. 1–5. 16 indexed citations
13.
Adamo‐Villani, Nicoletta, et al.. (2006). A photorealistic 3d virtual laboratory for undergraduate instruction in microcontroller technology. 21–21. 6 indexed citations
14.
Richardson, J., Rolf Björheden, Pentti Hakkila, A. T. Lowe, & C. Tattersall Smith. (2002). Bioenergy from sustainable forestry : guiding principles and practice. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 160 indexed citations
15.
Richardson, J., et al.. (2001). Bioenergy in Australia.. 1–5. 3 indexed citations
16.
Virtanen, Yrjö, J. Richardson, Rolf Björheden, et al.. (2001). Life cycle assessment of logging-residue-based energy.. 92–107. 1 indexed citations
17.
Richardson, J., Rolf Björheden, Pentti Hakkila, A. T. Lowe, & C. T. Smith. (2001). Proceedings of the IEA Bioenergy Task 18 workshop on Bioenergy from sustainable forestry: principles and practice, Coffs Harbour, New South Wales, Australia, 16-20 October 2000.. 2 indexed citations
18.
Richardson, J., et al.. (1995). Silviculture and economic benefits of producing wood energy from conventional forestry systems and measures to mitigate negative impacts. Biomass and Bioenergy. 9(1-5). 89–105. 22 indexed citations
19.
Hendrickson, O. Q. & J. Richardson. (1993). Nested forest nutrient cycles: implications for plantation management. The Forestry Chronicle. 69(6). 694–698. 1 indexed citations
20.
Sabourin, Marc, et al.. (1992). Forest management strategies for producing wood for energy from conventional forestry systems. Biomass and Bioenergy. 2(1-6). 105–119. 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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