Tom D. Pering

1.2k total citations
36 papers, 843 citations indexed

About

Tom D. Pering is a scholar working on Geophysics, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Tom D. Pering has authored 36 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Geophysics, 10 papers in Atmospheric Science and 9 papers in Artificial Intelligence. Recurrent topics in Tom D. Pering's work include Atmospheric and Environmental Gas Dynamics (9 papers), Geological and Geochemical Analysis (9 papers) and Seismology and Earthquake Studies (7 papers). Tom D. Pering is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (9 papers), Geological and Geochemical Analysis (9 papers) and Seismology and Earthquake Studies (7 papers). Tom D. Pering collaborates with scholars based in United Kingdom, Australia and Italy. Tom D. Pering's co-authors include A. J. S. McGonigle, Jon R. Willmott, Thomas Wilkes, Giancarlo Tamburello, Alessandro Aiuppa, Joseph M. Cook, Forrest M. Mims, Alfio V. Parisi, Matthew J. Hobbs and Gaetano Giudice and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Geophysical Research Letters.

In The Last Decade

Tom D. Pering

35 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom D. Pering United Kingdom	18	212	206	199	158	111	36	843
Thomas Wilkes United Kingdom	11	90 0.4×	109 0.5×	119 0.6×	115 0.7×	62 0.6×	22	504
K. A. Horton United States	19	178 0.8×	323 1.6×	237 1.2×	71 0.4×	131 1.2×	40	935
F. Sigernes Norway	21	127 0.6×	612 3.0×	227 1.1×	82 0.5×	28 0.3×	72	1.3k
Luca Fiorani Italy	16	48 0.2×	237 1.2×	346 1.7×	56 0.4×	26 0.2×	75	731
Jin Liu China	15	134 0.6×	102 0.5×	54 0.3×	29 0.2×	115 1.0×	119	850
Xinmin Ge China	19	202 1.0×	19 0.1×	69 0.3×	56 0.4×	114 1.0×	79	1.2k
P. Isaacson United States	27	200 0.9×	324 1.6×	46 0.2×	24 0.2×	194 1.7×	93	2.1k
H. Lu China	23	98 0.5×	59 0.3×	168 0.8×	157 1.0×	363 3.3×	156	1.8k

Countries citing papers authored by Tom D. Pering

Since Specialization

Citations

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

Fields of papers citing papers by Tom D. Pering

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom D. Pering. 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 Tom D. Pering. The network helps show where Tom D. Pering may publish in the future.

Co-authorship network of co-authors of Tom D. Pering

This figure shows the co-authorship network connecting the top 25 collaborators of Tom D. Pering. A scholar is included among the top collaborators of Tom D. Pering 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 Tom D. Pering. Tom D. Pering 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

Pering, Tom D., et al.. (2023). Crystals and inclined conduits: analogue experiments for slug-driven volcanism. SHILAP Revista de lepidopterología. 6(1). 147–160. 1 indexed citations

Wilkes, Thomas, Tom D. Pering, & A. J. S. McGonigle. (2022). Semantic segmentation of explosive volcanic plumes through deep learning. Computers & Geosciences. 168. 105216–105216. 8 indexed citations

Davies, Matthew A., et al.. (2022). High-Resolution Hyperspectral Imaging Using Low-Cost Components: Application within Environmental Monitoring Scenarios. Sensors. 22(12). 4652–4652. 58 indexed citations

Pering, Tom D., et al.. (2022). Engaging geography students through innovation in statistics teaching. Journal of Geography in Higher Education. 47(4). 613–636.

McGonigle, A. J. S., et al.. (2021). Low-Cost Hyperspectral Imaging with A Smartphone. Journal of Imaging. 7(8). 136–136. 31 indexed citations

Pering, Tom D., Emma Liu, Kieran Wood, et al.. (2020). Combined ground and aerial measurements resolve vent-specific gas fluxes from a multi-vent volcano. Nature Communications. 11(1). 3039–3039. 26 indexed citations

Aguilera, Felipe, et al.. (2020). First Measurements of Gas Flux with a Low-Cost Smartphone Sensor-Based UV Camera on the Volcanoes of Northern Chile. Remote Sensing. 12(13). 2122–2122. 7 indexed citations

Ilanko, Tehnuka, Tom D. Pering, Thomas Wilkes, et al.. (2020). Ultraviolet Camera Measurements of Passive and Explosive (Strombolian) Sulphur Dioxide Emissions at Yasur Volcano, Vanuatu. Remote Sensing. 12(17). 2703–2703. 9 indexed citations

Hobbs, Matthew J., et al.. (2020). Low-Cost Hyperspectral Imaging System: Design and Testing for Laboratory-Based Environmental Applications. Sensors. 20(11). 3293–3293. 36 indexed citations

10.

Mims, Forrest M., A. J. S. McGonigle, Thomas Wilkes, et al.. (2019). Measuring and Visualizing Solar UV for a Wide Range of Atmospheric Conditions on Hawai’i Island. International Journal of Environmental Research and Public Health. 16(6). 997–997. 4 indexed citations

11.

Pering, Tom D., Tehnuka Ilanko, & Emma Liu. (2019). Periodicity in Volcanic Gas Plumes: A Review and Analysis. Geosciences. 9(9). 394–394. 20 indexed citations

12.

Ilanko, Tehnuka, Tom D. Pering, Thomas Wilkes, et al.. (2019). Degassing at Sabancaya volcano measured by UV cameras and the NOVAC network. SHILAP Revista de lepidopterología. 2(2). 239–252. 12 indexed citations

13.

Pering, Tom D. & A. J. S. McGonigle. (2018). Combining Spherical-Cap and Taylor Bubble Fluid Dynamics with Plume Measurements to Characterize Basaltic Degassing. Geosciences. 8(2). 42–42. 17 indexed citations

14.

McGonigle, A. J. S., Thomas Wilkes, Tom D. Pering, et al.. (2018). Smartphone Spectrometers. Sensors. 18(1). 223–223. 114 indexed citations

15.

Liu, Emma, Kieran Wood, Emily Mason, et al.. (2018). Dynamics of Outgassing and Plume Transport Revealed by Proximal Unmanned Aerial System (UAS) Measurements at Volcán Villarrica, Chile. Geochemistry Geophysics Geosystems. 20(2). 730–750. 42 indexed citations

16.

Wilkes, Thomas, A. J. S. McGonigle, Jon R. Willmott, Tom D. Pering, & Joseph M. Cook. (2017). Low-cost 3D printed 1 nm resolution smartphone sensor-based spectrometer: instrument design and application in ultraviolet spectroscopy. Optics Letters. 42(21). 4323–4323. 49 indexed citations

17.

Wilkes, Thomas, Tom D. Pering, A. J. S. McGonigle, Giancarlo Tamburello, & Jon R. Willmott. (2017). A Low-Cost Smartphone Sensor-Based UV Camera for Volcanic SO2 Emission Measurements. Remote Sensing. 9(1). 27–27. 37 indexed citations

18.

Pering, Tom D., A. J. S. McGonigle, M. R. James, et al.. (2017). The dynamics of slug trains in volcanic conduits: Evidence for expansion driven slug coalescence. Journal of Volcanology and Geothermal Research. 348. 26–35. 12 indexed citations

19.

McGonigle, A. J. S., Tom D. Pering, Thomas Wilkes, et al.. (2017). Ultraviolet Imaging of Volcanic Plumes: A New Paradigm in Volcanology. Geosciences. 7(3). 68–68. 26 indexed citations

20.

Wilkes, Thomas, et al.. (2016). Ultraviolet Imaging with Low Cost Smartphone Sensors: Development and Application of a Raspberry Pi-Based UV Camera. Sensors. 16(10). 1649–1649. 64 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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