Rob Smith
Impact in
- Ecology top 10%
- Rangeland and Wildlife Management
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
Papers in
- Spectroscopy 12
- Advanced Proteomics Techniques and Applications 9
- Mass Spectrometry Techniques and Applications 9
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- Metabolomics and Mass Spectrometry Studies 9
- Co-authors
- John T. Prince (9 shared papers)Dan Ventura (5 shared papers)Jason W. Karl (1 shared paper)John Donnelly (1 shared paper)Loretta J. Metz (1 shared paper)Jeremy D. Maestas (1 shared paper)Brady Allred (1 shared paper)Brandon T. Bestelmeyer (1 shared paper)
- Journals
- Journal of Proteome Research (8 papers)BMC Bioinformatics (5 papers)Bioinformatics (3 papers)PLoS ONE (2 papers)Journal of Cheminformatics (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Rob Smith
28 papers receiving 496 citations
Peers
Comparison fields: 5 of 95
- Ecology 222
- Spectroscopy 120
- Nature and Landscape Conservation 82
- Global and Planetary Change 142
- Ecological Modeling 26
Countries citing papers authored by Rob Smith
This map shows the geographic impact of Rob 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 Rob Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Smith more than expected).
Fields of papers citing papers by Rob Smith
This network shows the impact of papers produced by Rob 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 Rob Smith. The network helps show where Rob Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Rob Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 194 | |
| 2 | 2014 | 59 | |
| 3 | 1999 | 49 | |
| 4 | 2020 | 42 | |
| 5 | 2014 | 40 | |
| 6 | 2013 | 19 | |
| 7 | 2014 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2020 | 9 | |
| 10 | 2013 | 8 | |
| 11 | 2015 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2013 | 7 | |
| 14 | 2010 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2010 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 1978 | 4 | |
| 20 | 2017 | 3 |
About Rob Smith
Rob Smith is a scholar working on Spectroscopy, Molecular Biology, Ecology, Ocean Engineering and Signal Processing, having authored 28 papers that have together received 513 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Mass Spectrometry Techniques and Applications (9 papers), Isotope Analysis in Ecology (3 papers), Offshore Engineering and Technologies (2 papers), Data Management and Algorithms (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Ecology (222 citations), Spectroscopy (120 citations), Nature and Landscape Conservation (82 citations), Global and Planetary Change (142 citations) and Ecological Modeling (26 citations). Rob Smith has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include John T. Prince, Dan Ventura, Jason W. Karl, John Donnelly, Loretta J. Metz, Jeremy D. Maestas, Brady Allred, Brandon T. Bestelmeyer, Matthew Jones and Jay D. Kerby. Their work appears in journals such as Journal of Proteome Research, BMC Bioinformatics, Bioinformatics, PLoS ONE and Journal of Cheminformatics.
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.