Tim Pearce

65 papers receiving 1.9k citations

Peers

Tim Pearce
Comparison fields: 5 of 125
  • Sensory Systems 431
  • Bioengineering 354
  • Insect Science 468
  • Biomedical Engineering 1.3k
  • Cellular and Molecular Neuroscience 349
Replace Fabrizio Davide with:
Fabrizio Davide Italy
Jordi Fonollosa Spain
Alexander Vergara United States
A. Gutiérrez-Gálvez Spain
Kea‐Tiong Tang Taiwan
Manabendra Bhuyan India
Matteo Pardo Italy
Yan Shi China
Fengchun Tian China
H. Sundgren Sweden
Tim Pearce relative to Fabrizio Davide Italy Fabrizio Davide's profile →
Citations per field
00.5×2.5×
Fabrizio Davide · 1×
Citations per year

Countries citing papers authored by Tim Pearce

Since Specialization
Citations

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

Fields of papers citing papers by Tim Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tim Pearce, 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 Tim Pearce Line = papers co-authored together Tim Pearce links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Handbook of Machine Olfaction: Electronic Nose Technology
2003478
2 1993196
3 2019157
4 2007113
5 1997100
6 2006100
7 199794
8 200180
9 199471
10 201338
11 200734
12 201932
13 200130
14
Uncertainty in Neural Networks: Bayesian Ensembling.
201826
15 200222
16 202222
17 200719
18 200419
19 199918
20 201818

About Tim Pearce

Tim Pearce is a scholar working on Biomedical Engineering, Sensory Systems, Cellular and Molecular Neuroscience, Insect Science and Artificial Intelligence, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (32 papers), Advanced Chemical Sensor Technologies (31 papers), Neurobiology and Insect Physiology Research (28 papers), Insect Pheromone Research and Control (25 papers), Plant and animal studies (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Analytical Chemistry and Chromatography (5 papers) and Analytical Chemistry and Sensors (3 papers). The work is most often cited by research in Sensory Systems (431 citations), Bioengineering (354 citations), Insect Science (468 citations), Biomedical Engineering (1.3k citations) and Cellular and Molecular Neuroscience (349 citations). Tim Pearce has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include H. Troy Nagle, Susan S. Schiffman, Julian W. Gardner, Philip N. Bartlett, Alexandra Brintrup, James A. Covington, Thomas Jacob Koickal, Alister Hamilton, Paul F. M. J. Verschure and Keith J. Albert. Their work appears in journals such as Biosystems, The Analyst, Neurocomputing, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Analytical Chemistry.

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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