Tom Pfeifer
Impact in
- Insect Science top 5%
- Entomopathogenic Microorganisms in Pest Control
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in
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- Insect Resistance and Genetics 10
- Viral Infectious Diseases and Gene Expression in Insects 7
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- Mobile Agent-Based Network Management 8
- Bluetooth and Wireless Communication Technologies 7
- Energy Efficient Wireless Sensor Networks 6
- Opportunistic and Delay-Tolerant Networks 6
- Co-authors
- Thomas A. Grigliatti (14 shared papers)George G. Khachatourians (5 shared papers)Dwayne D. Hegedus (8 shared papers)T A Grigliatti (7 shared papers)David A. Theilmann (6 shared papers)Yoko Shimizu (11 shared papers)Nicolette S. Honson (5 shared papers)Michel Roberge (5 shared papers)
In The Last Decade
Tom Pfeifer
99 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 141
- Insect Science 241
- Physiology 79
- Biotechnology 119
- Molecular Biology 920
- Pharmacology 125
Countries citing papers authored by Tom Pfeifer
This map shows the geographic impact of Tom Pfeifer'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 Pfeifer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Pfeifer more than expected).
Fields of papers citing papers by Tom Pfeifer
This network shows the impact of papers produced by Tom Pfeifer. 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 Pfeifer. The network helps show where Tom Pfeifer may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Pfeifer, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 139 | |
| 2 | 2015 | 88 | |
| 3 | 1997 | 87 | |
| 4 | 2010 | 77 | |
| 5 | 1987 | 76 | |
| 6 | 2015 | 72 | |
| 7 | 2013 | 71 | |
| 8 | 2016 | 58 | |
| 9 | 2011 | 55 | |
| 10 | 1998 | 55 | |
| 11 | 2013 | 51 | |
| 12 | 2014 | 42 | |
| 13 | 2007 | 39 | |
| 14 | 2003 | 39 | |
| 15 | 2009 | 37 | |
| 16 | 1995 | 34 | |
| 17 | 2015 | 33 | |
| 18 | 2014 | 31 | |
| 19 | 2008 | 30 | |
| 20 | 1998 | 29 |
About Tom Pfeifer
Tom Pfeifer is a scholar working on Molecular Biology, Computer Networks and Communications, Computer Vision and Pattern Recognition, Insect Science and Electrical and Electronic Engineering, having authored 104 papers that have together received 1.8k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (19 papers), Insect Resistance and Genetics (10 papers), Mobile Agent-Based Network Management (8 papers), Entomopathogenic Microorganisms in Pest Control (7 papers), Bluetooth and Wireless Communication Technologies (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Opportunistic and Delay-Tolerant Networks (6 papers). The work is most often cited by research in Insect Science (241 citations), Physiology (79 citations), Biotechnology (119 citations), Molecular Biology (920 citations) and Pharmacology (125 citations). Tom Pfeifer has collaborated with scholars based in Canada, Germany and Ireland. Frequent co-authors include Thomas A. Grigliatti, George G. Khachatourians, Dwayne D. Hegedus, T A Grigliatti, David A. Theilmann, Yoko Shimizu, Nicolette S. Honson, Michel Roberge, Michael Bidochka and Hilary Anderson. Their work appears in journals such as Computer Communications, Gene, PLoS ONE, Journal of Invertebrate Pathology and Drug Metabolism and Disposition.
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.