Jonathan Austin

549 citations
12 papers · 476 · h-index 9

Impact in

Papers in

Jonathan Austin

12 papers receiving 473 citations

Peers

Jonathan Austin
Comparison fields: 5 of 65
  • Inorganic Chemistry 358
  • Industrial and Manufacturing Engineering 96
  • Filtration and Separation 21
  • Materials Chemistry 237
  • Electrochemistry 28
Replace Takashi Toraishi with:
Takashi Toraishi Japan
Gabriel B. Hall United States
Morgan P. Kelley United States
Neetika Rawat India
David Fellhauer Germany
Shanmugaperumal Kannan India
Bal Govind Vats India
Anthony C. Muscatello United States
Michael Trumm Germany
Jan‐Olov Liljenzin Sweden
Jonathan Austin relative to Takashi Toraishi Japan Takashi Toraishi's profile →
Citations per field
00.5×9.8×
Takashi Toraishi · 1×
Citations per year

Countries citing papers authored by Jonathan Austin

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Jonathan Austin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Austin Line = papers co-authored together Jonathan Austin links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2019136
2 200990
3 200944
4 201644
5 201939
6 201637
7 201734
8 201832
9 20198
10 20167
11 20234
12
Artificial Neural Network Uncertainty Quantification for the Sensitivity Analysis of the SIXEP Model
20161

About Jonathan Austin

Jonathan Austin is a scholar working on Inorganic Chemistry, Materials Chemistry, Industrial and Manufacturing Engineering, Global and Planetary Change and Aerospace Engineering, having authored 12 papers that have together received 476 indexed citations. Recurring topics across this work include Radioactive element chemistry and processing (10 papers), Lanthanide and Transition Metal Complexes (4 papers), Chemical Synthesis and Characterization (3 papers), Radioactive contamination and transfer (3 papers), Nuclear reactor physics and engineering (2 papers), Oxidative Organic Chemistry Reactions (1 paper), Nuclear Materials and Properties (1 paper) and Analytical chemistry methods development (1 paper). The work is most often cited by research in Inorganic Chemistry (358 citations), Industrial and Manufacturing Engineering (96 citations), Filtration and Separation (21 citations), Materials Chemistry (237 citations) and Electrochemistry (28 citations). Jonathan Austin has collaborated with scholars based in United Kingdom, Sweden and Taiwan. Frequent co-authors include Polly L. Arnold, Jason B. Love, Ian H. Hillier, Mahesh Sundararajan, Mark A. Vincent, Andrew Kerridge, Bradley E. Cowie, Nikolas Kaltsoyannis, Neil A. Burton and Mark Bankhead. Their work appears in journals such as Physical Chemistry Chemical Physics, Dalton Transactions, ChemCatChem, Journal of Radioanalytical and Nuclear Chemistry and Neural Networks.

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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