Fran Smith

1.1k citations
7 papers · 971 · 1 hit paper · h-index 5

Impact in

Papers in

Fran Smith

6 papers receiving 936 citations

Fran Smith's Hit Papers

Sorption of arsenic, cadmium, and lead by chars produced from fast pyrolysis of wood and bark during bio-oil production 2007 · 877 citations
8770+6+12Years since publication250500750

Peers

Fran Smith
Comparison fields: 5 of 83
  • Water Science and Technology 580
  • Pollution 330
  • Industrial and Manufacturing Engineering 182
  • Environmental Chemistry 179
  • Geochemistry and Petrology 92
Replace Xiaolian Wu with:
Xiaolian Wu China
Chung‐Yu Guan Taiwan
Weiyu Liang China
Magdalena Stefaniuk Poland
Yurong Gao China
Changai Zhang China
Qing Huang China
Kyung-Min Poo South Korea
Yanli Kong China
Zubair Ahmed Pakistan
Fran Smith relative to Xiaolian Wu China Xiaolian Wu's profile →
Citations per field
00.5×10×20×27×
Xiaolian Wu · 1×
Citations per year

Countries citing papers authored by Fran Smith

Since Specialization
Citations

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

Fields of papers citing papers by Fran Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Fran Smith, 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 Fran Smith Line = papers co-authored together Fran Smith links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Sorption of arsenic, cadmium, and lead by chars produced from fast pyrolysis of wood and bark during bio-oil production
Hit paper breakdown →
2007877
2 201842
3 199320
4 201716
5 201214
6 20162
7 20090

About Fran Smith

Fran Smith is a scholar working on Organic Chemistry, Water Science and Technology, Biomedical Engineering, History and Philosophy of Science and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 971 indexed citations. Recurring topics across this work include Environmental remediation with nanomaterials (2 papers), Nanomaterials for catalytic reactions (2 papers), Adsorption and biosorption for pollutant removal (2 papers), Artificial Intelligence in Games (1 paper), Wildlife Ecology and Conservation (1 paper), Reinforcement Learning in Robotics (1 paper), Extraction and Separation Processes (1 paper) and Academic Writing and Publishing (1 paper). The work is most often cited by research in Water Science and Technology (580 citations), Pollution (330 citations), Industrial and Manufacturing Engineering (182 citations), Environmental Chemistry (179 citations) and Geochemistry and Petrology (92 citations). Fran Smith has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Javeed Mohammad, Dinesh Mohan, V. Gómez-Serrano, Charles U. Pittman, Philip H. Steele, María Alexandre-Franco, M Bricka, Henry Gong, Benjamin Yancey and Blanca Calderón. Their work appears in journals such as Journal of Colloid and Interface Science, ACS Sustainable Chemistry & Engineering, PLoS ONE, Water Practice & Technology and University of Birmingham Research Portal (University of Birmingham).

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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