Alexander Haverkamp

941 total citations
24 papers, 623 citations indexed

About

Alexander Haverkamp is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alexander Haverkamp has authored 24 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, Evolution, Behavior and Systematics, 16 papers in Insect Science and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alexander Haverkamp's work include Plant and animal studies (17 papers), Neurobiology and Insect Physiology Research (11 papers) and Insect and Pesticide Research (9 papers). Alexander Haverkamp is often cited by papers focused on Plant and animal studies (17 papers), Neurobiology and Insect Physiology Research (11 papers) and Insect and Pesticide Research (9 papers). Alexander Haverkamp collaborates with scholars based in Germany, Netherlands and France. Alexander Haverkamp's co-authors include Bill S. Hansson, Markus Knaden, Ian T. Baldwin, Hans M. Smid, Felipe Yon, Danny Kessler, Ian W. Keesey, Silke Sachse, Christine Mißbach and Christopher J. Koenig and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Alexander Haverkamp

23 papers receiving 620 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexander Haverkamp Germany 13 334 332 267 205 185 24 623
Francisco Gonzalez Sweden 15 320 1.0× 178 0.5× 256 1.0× 173 0.8× 233 1.3× 25 669
Jeanine Linz Germany 7 338 1.0× 223 0.7× 342 1.3× 225 1.1× 115 0.6× 8 646
Adel Khashaveh China 14 370 1.1× 136 0.4× 260 1.0× 154 0.8× 158 0.9× 49 522
Wendy L. Mechaber United States 7 258 0.8× 224 0.7× 178 0.7× 131 0.6× 161 0.9× 8 472
Ruggero Petacchi Italy 17 614 1.8× 233 0.7× 294 1.1× 254 1.2× 217 1.2× 48 853
Gabriella H. Wolff United States 13 163 0.5× 196 0.6× 376 1.4× 199 1.0× 106 0.6× 16 602
Katsuhisa Ozaki Japan 10 241 0.7× 182 0.5× 240 0.9× 220 1.1× 63 0.3× 14 492
Kye Chung Park New Zealand 17 490 1.5× 270 0.8× 215 0.8× 212 1.0× 181 1.0× 38 636
Joaquín Goyret United States 14 264 0.8× 617 1.9× 195 0.7× 301 1.5× 259 1.4× 21 752
Marta L. del Campo United States 10 246 0.7× 170 0.5× 160 0.6× 96 0.5× 162 0.9× 13 466

Countries citing papers authored by Alexander Haverkamp

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Haverkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Haverkamp

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Haverkamp. A scholar is included among the top collaborators of Alexander Haverkamp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander Haverkamp. Alexander Haverkamp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Qi, Hans M. Smid, Berhane T. Weldegergis, et al.. (2025). Loss of olfaction reduces caterpillar performance and increases susceptibility to a natural enemy. eLife. 14.
2.
3.
Smid, Hans M., et al.. (2024). Olfactory learning in Pieris brassicae butterflies is dependent on the intensity of a plant-derived oviposition cue. Proceedings of the Royal Society B Biological Sciences. 291(2028). 20240533–20240533. 5 indexed citations
4.
Bai, Zhaohai, Xiaofei Wu, Luis Lassaletta, et al.. (2023). Investing in mini-livestock production for food security and carbon neutrality in China. Proceedings of the National Academy of Sciences. 120(43). e2304826120–e2304826120. 6 indexed citations
5.
Wang, Qi, Hans M. Smid, Marcel Dicke, & Alexander Haverkamp. (2023). The olfactory system of Pieris brassicae caterpillars: from receptors to glomeruli. Insect Science. 31(2). 469–488. 5 indexed citations
6.
Wang, Qi, Marcel Dicke, & Alexander Haverkamp. (2023). Sympatric Pieris butterfly species exhibit a high conservation of chemoreceptors. Frontiers in Cellular Neuroscience. 17. 1155405–1155405. 3 indexed citations
7.
Honing, Renate W. Hakze‐van der, Jan Priem, Aurore Avarguès‐Weber, et al.. (2022). Bees can be trained to identify SARS-CoV-2 infected samples. Biology Open. 11(4). 4 indexed citations
8.
Verhulst, Eveline C., et al.. (2022). A unique sense of smell: development and evolution of a sexually dimorphic antennal lobe – a review. Entomologia Experimentalis et Applicata. 170(4). 303–318. 11 indexed citations
9.
Haverkamp, Alexander, et al.. (2020). Pollination in the Anthropocene: a Moth Can Learn Ozone-Altered Floral Blends. Journal of Chemical Ecology. 46(10). 987–996. 32 indexed citations
10.
Haverkamp, Alexander & Hans M. Smid. (2020). A neuronal arms race: the role of learning in parasitoid–host interactions. Current Opinion in Insect Science. 42. 47–54. 35 indexed citations
11.
Kessler, Danny, et al.. (2019). The defensive function of a pollinator‐attracting floral volatile. Functional Ecology. 33(7). 1223–1232. 30 indexed citations
12.
Haverkamp, Alexander, Xiang Li, Bill S. Hansson, et al.. (2018). Flower movement balances pollinator needs and pollen protection. Ecology. 100(1). e02553–e02553. 29 indexed citations
13.
Haverkamp, Alexander, Bill S. Hansson, & Markus Knaden. (2018). Combinatorial Codes and Labeled Lines: How Insects Use Olfactory Cues to Find and Judge Food, Mates, and Oviposition Sites in Complex Environments. Frontiers in Physiology. 9. 49–49. 114 indexed citations
14.
Zhou, Wenwu, Alexander Haverkamp, Markus Knaden, et al.. (2017). Tissue-Specific Emission of (E)-α-Bergamotene Helps Resolve the Dilemma When Pollinators Are Also Herbivores. Current Biology. 27(9). 1336–1341. 58 indexed citations
15.
Haverkamp, Alexander, Felipe Yon, Ian W. Keesey, et al.. (2016). Hawkmoths evaluate scenting flowers with the tip of their proboscis. eLife. 5. 52 indexed citations
16.
Haverkamp, Alexander, et al.. (2016). A Challenge for a Male Noctuid Moth? Discerning the Female Sex Pheromone against the Background of Plant Volatiles. Frontiers in Physiology. 7. 143–143. 23 indexed citations
17.
Keesey, Ian W., et al.. (2016). Adult Frass Provides a Pheromone Signature for Drosophila Feeding and Aggregation. Journal of Chemical Ecology. 42(8). 739–747. 47 indexed citations
18.
Haverkamp, Alexander, et al.. (2016). Innate olfactory preferences for flowers matching proboscis length ensure optimal energy gain in a hawkmoth. Nature Communications. 7(1). 11644–11644. 46 indexed citations
19.
Haverkamp, Alexander & Hans M. Smid. (2014). Octopamine-like immunoreactive neurons in the brain and subesophageal ganglion of the parasitic wasps Nasonia vitripennis and N. giraulti. Cell and Tissue Research. 358(2). 313–329. 10 indexed citations
20.
Reinecke, Andreas, et al.. (2013). Host Plant Odors Represent Immiscible Information Entities - Blend Composition and Concentration Matter in Hawkmoths. PLoS ONE. 8(10). e77135–e77135. 19 indexed citations

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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