Tom Pearson
Impact in
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
- Biophysics top 2%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
-
- Mycotoxins in Agriculture and Food 14
- Smart Agriculture and AI 8
- Insect Pest Control Strategies 5
-
- Spectroscopy and Chemometric Analyses 33
- Co-authors
- Donald T. Wicklow (5 shared papers)Floyd E. Dowell (6 shared papers)Elizabeth B. Maghirang (6 shared papers)Feng Xie (3 shared papers)Susan Tuck (2 shared papers)Richard J. Howard (2 shared papers)A. Mark Settles (1 shared paper)Tesfaye M. Baye (1 shared paper)
- Journals
- Cereal Chemistry (5 papers)Applied Engineering in Agriculture (5 papers)Computers and Electronics in Agriculture (4 papers)British Journal of Haematology (3 papers)LWT (3 papers)
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Tom Pearson
65 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 123
- Analytical Chemistry 767
- Biophysics 201
- Genetics 272
- Plant Science 777
- Hematology 190
Countries citing papers authored by Tom Pearson
This map shows the geographic impact of Tom Pearson'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 Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Pearson more than expected).
Fields of papers citing papers by Tom Pearson
This network shows the impact of papers produced by Tom Pearson. 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 Pearson. The network helps show where Tom Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Pearson, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 134 | |
| 2 | 1995 | 115 | |
| 3 | 2006 | 109 | |
| 4 | 2004 | 100 | |
| 5 | 2002 | 99 | |
| 6 | 2006 | 85 | |
| 7 | 2017 | 68 | |
| 8 | 2012 | 68 | |
| 9 | 2005 | 60 | |
| 10 | 2011 | 57 | |
| 11 | 1987 | 53 | |
| 12 | 1991 | 47 | |
| 13 | 1996 | 43 | |
| 14 | 1991 | 39 | |
| 15 | 2009 | 38 | |
| 16 | 2008 | 36 | |
| 17 | 2003 | 35 | |
| 18 | 1999 | 32 | |
| 19 | 1998 | 30 | |
| 20 | 1997 | 29 |
About Tom Pearson
Tom Pearson is a scholar working on Plant Science, Analytical Chemistry, Nutrition and Dietetics, Genetics and Biomedical Engineering, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (33 papers), Mycotoxins in Agriculture and Food (14 papers), Nuts composition and effects (12 papers), Advanced Chemical Sensor Technologies (8 papers), Smart Agriculture and AI (8 papers), Hemoglobinopathies and Related Disorders (7 papers), Insect Pest Control Strategies (5 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). The work is most often cited by research in Analytical Chemistry (767 citations), Biophysics (201 citations), Genetics (272 citations), Plant Science (777 citations) and Hematology (190 citations). Tom Pearson has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Donald T. Wicklow, Floyd E. Dowell, Elizabeth B. Maghirang, Feng Xie, Susan Tuck, Richard J. Howard, A. Mark Settles, Tesfaye M. Baye, A. Enis Çetin and Daniel Brabec. Their work appears in journals such as Cereal Chemistry, Applied Engineering in Agriculture, Computers and Electronics in Agriculture, British Journal of Haematology and LWT.
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.