Dane Dickinson

1.3k total citations · 1 hit paper
8 papers, 945 citations indexed

About

Dane Dickinson is a scholar working on Spectroscopy, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Dane Dickinson has authored 8 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Spectroscopy, 3 papers in Biomedical Engineering and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Dane Dickinson's work include Thermochemical Biomass Conversion Processes (3 papers), Spectroscopy and Laser Applications (3 papers) and Soil Carbon and Nitrogen Dynamics (2 papers). Dane Dickinson is often cited by papers focused on Thermochemical Biomass Conversion Processes (3 papers), Spectroscopy and Laser Applications (3 papers) and Soil Carbon and Nitrogen Dynamics (2 papers). Dane Dickinson collaborates with scholars based in Belgium, United States and United Kingdom. Dane Dickinson's co-authors include Wolter Prins, Frederik Ronsse, Guido Van Huylenbroeck, Jeroen Buysse, Stef Ghysels, Samuel Bodé, Pascal Boeckx and C. A. Quarles and has published in prestigious journals such as Biomass and Bioenergy, Rapid Communications in Mass Spectrometry and Journal of Electron Spectroscopy and Related Phenomena.

In The Last Decade

Dane Dickinson

8 papers receiving 920 citations

Hit Papers

Production and characterization of slow pyrolysis biochar... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dane Dickinson Belgium 7 438 196 157 156 152 8 945
K. Weber Germany 7 481 1.1× 181 0.9× 176 1.1× 199 1.3× 248 1.6× 20 1.2k
Waled Suliman United States 5 245 0.6× 200 1.0× 159 1.0× 164 1.1× 248 1.6× 6 859
Alex Dellantonio Austria 4 298 0.7× 244 1.2× 215 1.4× 116 0.7× 194 1.3× 5 924
Raad Hamid Austria 10 314 0.7× 240 1.2× 182 1.2× 109 0.7× 193 1.3× 17 1.1k
Alba Dieguez-Alonso Germany 16 663 1.5× 312 1.6× 191 1.2× 210 1.3× 177 1.2× 35 1.4k
Michael Lawrinenko United States 9 286 0.7× 283 1.4× 232 1.5× 192 1.2× 321 2.1× 10 1.0k
Alessandro G. Rombolà Italy 15 276 0.6× 176 0.9× 240 1.5× 143 0.9× 91 0.6× 30 811
Sebastian Meyer Germany 4 222 0.5× 118 0.6× 114 0.7× 119 0.8× 171 1.1× 6 660
Santanu Bakshi United States 14 325 0.7× 178 0.9× 263 1.7× 223 1.4× 369 2.4× 24 1.0k
Erin N. Yargicoglu United States 11 279 0.6× 180 0.9× 235 1.5× 404 2.6× 225 1.5× 14 1.1k

Countries citing papers authored by Dane Dickinson

Since Specialization
Citations

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

Fields of papers citing papers by Dane Dickinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dane Dickinson

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

All Works

8 of 8 papers shown
1.
Ghysels, Stef, Frederik Ronsse, Dane Dickinson, & Wolter Prins. (2019). Production and characterization of slow pyrolysis biochar from lignin-rich digested stillage from lignocellulosic ethanol production. Biomass and Bioenergy. 122. 349–360. 53 indexed citations
2.
Dickinson, Dane, Samuel Bodé, & Pascal Boeckx. (2017). System for δ 13 C–CO 2 and x CO 2 analysis of discrete gas samples by cavity ring-down spectroscopy. Atmospheric measurement techniques. 10(11). 4507–4519. 11 indexed citations
3.
Dickinson, Dane, Samuel Bodé, & Pascal Boeckx. (2017). Measuring 13 C‐enriched CO 2 in air with a cavity ring‐down spectroscopy gas analyser: Evaluation and calibration. Rapid Communications in Mass Spectrometry. 31(22). 1892–1902. 12 indexed citations
4.
Dickinson, Dane, et al.. (2014). Cost‐benefit analysis of using biochar to improve cereals agriculture. GCB Bioenergy. 7(4). 850–864. 106 indexed citations
5.
Ronsse, Frederik, et al.. (2013). Biomass pyrolysis and biochar characterization. Ghent University Academic Bibliography (Ghent University). 7 indexed citations
6.
Ronsse, Frederik, et al.. (2012). Production and characterization of slow pyrolysis biochar: influence of feedstock type and pyrolysis conditions. GCB Bioenergy. 5(2). 104–115. 740 indexed citations breakdown →
7.
Dickinson, Dane, et al.. (1993). The observation of resonance in the electron impact excitation intensities of the inner-shell states of CO2. Journal of Electron Spectroscopy and Related Phenomena. 61(3-4). 367–372. 12 indexed citations
8.
Dickinson, Dane, et al.. (1990). Resonance in the electron impact excitation intensities of the inner-shell states of N2. Journal of Electron Spectroscopy and Related Phenomena. 53(3). 193–199. 4 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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