Thiago Mosqueiro
Impact in
- Insect Science top 10%
- Insect and Pesticide Research
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- Plant and animal studies
- Animal Behavior and Reproduction
Papers in
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- Neural dynamics and brain function 4
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- Insect Pheromone Research and Control 2
- Insect and Pesticide Research 2
- Co-authors
- Ramón Huerta (5 shared papers)Jordi Fonollosa (1 shared paper)Nikolai F. Rulkov (1 shared paper)Irene Rodríguez-Luján (1 shared paper)Brian H. Smith (4 shared papers)Chelsea N. Cook (3 shared papers)Noa Pinter‐Wollman (3 shared papers)Cahit Öztürk (2 shared papers)
- Journals
- BMC Neuroscience (2 papers)PLoS Biology (1 paper)Journal of Animal Ecology (1 paper)New Journal of Physics (1 paper)Royal Society Open Science (1 paper)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Thiago Mosqueiro
15 papers receiving 279 citations
Peers
Comparison fields: 5 of 67
- Insect Science 66
- Ecology, Evolution, Behavior and Systematics 82
- Genetics 85
- Sensory Systems 13
- Information Systems and Management 16
Countries citing papers authored by Thiago Mosqueiro
This map shows the geographic impact of Thiago Mosqueiro'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 Thiago Mosqueiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thiago Mosqueiro more than expected).
Fields of papers citing papers by Thiago Mosqueiro
This network shows the impact of papers produced by Thiago Mosqueiro. 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 Thiago Mosqueiro. The network helps show where Thiago Mosqueiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Thiago Mosqueiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2019 | 46 | |
| 3 | 2020 | 38 | |
| 4 | 2018 | 37 | |
| 5 | 2017 | 22 | |
| 6 | 2014 | 17 | |
| 7 | 2014 | 14 | |
| 8 | 2013 | 9 | |
| 9 | 2016 | 5 | |
| 10 | 2016 | 5 | |
| 11 | 2020 | 2 | |
| 12 | Predicting Synchronization of Three Mutually Inhibiting Groups of Oscillators with Strong Resetting | 2015 | 2 |
| 13 | 2013 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2017 | 1 |
About Thiago Mosqueiro
Thiago Mosqueiro is a scholar working on Cognitive Neuroscience, Insect Science, Computer Networks and Communications, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 286 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Insect and Arachnid Ecology and Behavior (3 papers), Plant and animal studies (3 papers), Insect Pheromone Research and Control (2 papers), stochastic dynamics and bifurcation (2 papers), Neurobiology and Insect Physiology Research (2 papers), Insect and Pesticide Research (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Insect Science (66 citations), Ecology, Evolution, Behavior and Systematics (82 citations), Genetics (85 citations), Sensory Systems (13 citations) and Information Systems and Management (16 citations). Thiago Mosqueiro has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Ramón Huerta, Jordi Fonollosa, Nikolai F. Rulkov, Irene Rodríguez-Luján, Brian H. Smith, Chelsea N. Cook, Noa Pinter‐Wollman, Cahit Öztürk, Jürgen Gadau and Luı́s de Lecea. Their work appears in journals such as BMC Neuroscience, PLoS Biology, Journal of Animal Ecology, New Journal of Physics and Royal Society Open Science.
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.