Stephen Fuller

1.3k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Stephen Fuller is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Mechanics of Materials. According to data from OpenAlex, Stephen Fuller has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Analytical Chemistry, 3 papers in Industrial and Manufacturing Engineering and 3 papers in Mechanics of Materials. Recurrent topics in Stephen Fuller's work include Petroleum Processing and Analysis (4 papers), Hydrocarbon exploration and reservoir analysis (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Stephen Fuller is often cited by papers focused on Petroleum Processing and Analysis (4 papers), Hydrocarbon exploration and reservoir analysis (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Stephen Fuller collaborates with scholars based in Australia. Stephen Fuller's co-authors include David Brynn Hibbert, Val Spikmans, Chris Lennard, Jianfeng Li, Jianfeng Li, Gary Low, M. Phillips and Julie Cattle and has published in prestigious journals such as Environmental Science & Technology, The Analyst and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

Stephen Fuller

9 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Procedure for Measuring Microplastics using Pressurized Fluid Extraction

2016 922 citations Stephen Fuller et al. Environmental Science & Technology profile →

Peers

Stephen Fuller

POLLU

IME

BIOMA

BE

MC

P. Vethamony Qatar

Julia Prume Germany

Daria Litvinyuk Russia

Hongping Liao China

Zhiyue Wang China

Dušan Materić Netherlands

Mingxing Zhang China

César Cunha Portugal

Christoph Schür Switzerland

Yin Liu China

P. Vethamony Qatar

Stephen Fuller

850 ×0.9

POLLU

724 ×1.2

IME

176 ×0.5

BIOMA

76 ×0.6

BE

60 ×0.6

MC

Citations per year, relative to Stephen Fuller Stephen Fuller (= 1×) peers P. Vethamony

Countries citing papers authored by Stephen Fuller

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Fuller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Fuller

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

All Works

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9 of 9 papers shown

1.

Phillips, M., et al.. (2020). Assessment of evaporative and photochemical effects on asphaltene profiling of a heavy fuel oil. Environmental Forensics. 21(2). 212–222. 1 indexed citations

2.

Lennard, Chris, et al.. (2017). Pyrolysis-GC-MS analysis of crude and heavy fuel oil asphaltenes for application in oil fingerprinting. Environmental Forensics. 19(1). 14–26. 14 indexed citations

3.

Lennard, Chris, et al.. (2016). An FTIR method for the analysis of crude and heavy fuel oil asphaltenes to assist in oil fingerprinting. Forensic Science International. 266. 555–564. 39 indexed citations

4.

Fuller, Stephen, et al.. (2016). A Procedure for Measuring Microplastics using Pressurized Fluid Extraction. Environmental Science & Technology. 50(11). 5774–5780. 922 indexed citations breakdown →

5.

Fuller, Stephen, et al.. (2013). Effects of Weathering on Sterol, Fatty Acid Methyl Ester (FAME), and Hydrocarbon Profiles of Biodiesel and Biodiesel/Diesel Blends. Environmental Forensics. 14(1). 42–49. 4 indexed citations

6.

Spikmans, Val, et al.. (2011). Using Sterol Profiles For Fingerprinting Biodiesel and Matching Biodiesel Spill Samples to a Source. Environmental Forensics. 12(1). 19–24. 3 indexed citations

7.

Li, Jianfeng, David Brynn Hibbert, & Stephen Fuller. (2007). Numerical methods for comparing fresh and weathered oils by their FTIR spectra. The Analyst. 132(8). 792–792. 11 indexed citations

8.

Li, Jianfeng, et al.. (2005). A comparative study of point-to-point algorithms for matching spectra. Chemometrics and Intelligent Laboratory Systems. 82(1-2). 50–58. 51 indexed citations

9.

Cattle, Julie, et al.. (2004). Identification and Matching of Environmental Samples for Regulatory Purposes: A Systematic Approach. Environmental Forensics. 5(4). 185–194. 2 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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