Alexander B. Wiltschko

2.9k total citations · 2 hit papers
18 papers, 1.3k citations indexed

About

Alexander B. Wiltschko is a scholar working on Cellular and Molecular Neuroscience, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Alexander B. Wiltschko has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Alexander B. Wiltschko's work include Neural dynamics and brain function (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Alexander B. Wiltschko is often cited by papers focused on Neural dynamics and brain function (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Alexander B. Wiltschko collaborates with scholars based in United States, Netherlands and United Kingdom. Alexander B. Wiltschko's co-authors include Sandeep Robert Datta, Gregory J. Gage, Joshua D. Berke, Jesse Katon, Ralph E. Peterson, Ryan P. Adams, Colin R. Stoetzner, Matthew J. Johnson, Stan L. Pashkovski and Victoria E. Abraira and has published in prestigious journals such as Science, Neuron and Nature Neuroscience.

In The Last Decade

Alexander B. Wiltschko

18 papers receiving 1.2k citations

Hit Papers

Mapping Sub-Second Structure in Mouse Behavior 2015 2026 2018 2022 2015 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander B. Wiltschko United States 12 433 409 167 140 136 18 1.3k
Scott W. Linderman United States 17 451 1.0× 344 0.8× 159 1.0× 132 0.9× 89 0.7× 42 972
Edward G. Jones United States 14 542 1.3× 435 1.1× 112 0.7× 166 1.2× 49 0.4× 21 1.2k
Mihail Bota United States 19 714 1.6× 338 0.8× 124 0.7× 400 2.9× 109 0.8× 31 1.4k
Chung‐Chuan Lo Taiwan 21 983 2.3× 472 1.2× 236 1.4× 90 0.6× 30 0.2× 76 2.4k
Angelo Arleo France 21 1.0k 2.3× 787 1.9× 98 0.6× 314 2.2× 63 0.5× 81 1.8k
Leif H. Finkel United States 21 1.2k 2.7× 741 1.8× 95 0.6× 219 1.6× 92 0.7× 61 1.7k
Alexander M. Chan United States 12 558 1.3× 518 1.3× 69 0.4× 69 0.5× 42 0.3× 15 1.2k
Oleg V. Favorov United States 29 1.4k 3.2× 510 1.2× 87 0.5× 444 3.2× 70 0.5× 96 2.4k
Bruce Graham United Kingdom 23 758 1.8× 922 2.3× 189 1.1× 407 2.9× 53 0.4× 67 1.7k
Mehdi Khamassi France 21 1.9k 4.5× 1.1k 2.7× 221 1.3× 150 1.1× 190 1.4× 60 2.4k

Countries citing papers authored by Alexander B. Wiltschko

Since Specialization
Citations

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

Fields of papers citing papers by Alexander B. Wiltschko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander B. Wiltschko

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander B. Wiltschko. A scholar is included among the top collaborators of Alexander B. Wiltschko 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 B. Wiltschko. Alexander B. Wiltschko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wei, Jennifer N., Marnix Vlot, Benjamín Sánchez-Lengeling, et al.. (2025). A deep learning and digital archaeology approach for mosquito repellent discovery. Chemical Senses. 50. 1 indexed citations
2.
Qian, Wesley Wei, Jennifer N. Wei, Benjamín Sánchez-Lengeling, et al.. (2023). Metabolic activity organizes olfactory representations. eLife. 12. 11 indexed citations
3.
Mayhew, Emily J., Benjamín Sánchez-Lengeling, Jennifer N. Wei, et al.. (2023). A principal odor map unifies diverse tasks in olfactory perception. Science. 381(6661). 999–1006. 93 indexed citations breakdown →
4.
Roberson, David P., Masakazu Kotoda, Rafael González‐Cano, et al.. (2022). Automated preclinical detection of mechanical pain hypersensitivity and analgesia. Pain. 163(12). 2326–2336. 24 indexed citations
5.
Wiltschko, Alexander B.. (2021). Building an interdisciplinary team set on bringing the sense of smell to computers. iScience. 24(3). 102136–102136. 2 indexed citations
6.
Sánchez-Lengeling, Benjamín, Jennifer N. Wei, Brian K. Lee, et al.. (2020). Evaluating Attribution for Graph Neural Networks. Neural Information Processing Systems. 33. 5898–5910. 31 indexed citations
7.
Wiltschko, Alexander B., Tatsuya Tsukahara, Ayman Zeine, et al.. (2020). Revealing the structure of pharmacobehavioral space through motion sequencing. Nature Neuroscience. 23(11). 1433–1443. 133 indexed citations
8.
Moldovan, Dan, Fei Wang, A. Johnson, et al.. (2019). AutoGraph: Imperative-style Coding with Graph-based Performance. 6 indexed citations
9.
Sculley, D., Jasper Snoek, Alexander B. Wiltschko, & A R Ostad Rahimi. (2018). Winner's Curse? On Pace, Progress, and Empirical Rigor.. International Conference on Learning Representations. 55 indexed citations
10.
Merriënboer, Bart van, Dan Moldovan, & Alexander B. Wiltschko. (2018). Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming. arXiv (Cornell University). 31. 6256–6265. 8 indexed citations
11.
Henglin, Mir, et al.. (2017). Machine Learning Approaches in Cardiovascular Imaging. Circulation Cardiovascular Imaging. 10(10). 99 indexed citations
12.
Majithia, Amit R., Alexander B. Wiltschko, Hui Zheng, Geoffrey Walford, & David M. Nathan. (2017). Rate of Change of Premeal Glucose Measured by Continuous Glucose Monitoring Predicts Postmeal Glycemic Excursions in Patients With Type 1 Diabetes: Implications for Therapy. Journal of Diabetes Science and Technology. 12(1). 76–82. 8 indexed citations
13.
Johnson, Matthew, David Duvenaud, Alexander B. Wiltschko, Ryan P. Adams, & Sandeep Robert Datta. (2016). Composing graphical models with neural networks for structured representations and fast inference. Neural Information Processing Systems. 29. 2946–2954. 58 indexed citations
14.
Johnson, Matthew, David Duvenaud, Alexander B. Wiltschko, Sandeep Robert Datta, & Ryan P. Adams. (2016). Structured VAEs: Composing Probabilistic Graphical Models and Variational Autoencoders. arXiv (Cornell University). 8 indexed citations
15.
Wiltschko, Alexander B., Matthew J. Johnson, Giuliano Iurilli, et al.. (2015). Mapping Sub-Second Structure in Mouse Behavior. Neuron. 88(6). 1121–1135. 416 indexed citations breakdown →
16.
Gage, Gregory J., Colin R. Stoetzner, Alexander B. Wiltschko, & Joshua D. Berke. (2010). Selective Activation of Striatal Fast-Spiking Interneurons during Choice Execution. Neuron. 67(3). 466–479. 186 indexed citations
17.
Wiltschko, Alexander B., Jeffrey R. Pettibone, & Joshua D. Berke. (2010). Opposite Effects of Stimulant and Antipsychotic Drugs on Striatal Fast-Spiking Interneurons. Neuropsychopharmacology. 35(6). 1261–1270. 57 indexed citations
18.
Wiltschko, Alexander B., Gregory J. Gage, & Joshua D. Berke. (2008). Wavelet filtering before spike detection preserves waveform shape and enhances single-unit discrimination. Journal of Neuroscience Methods. 173(1). 34–40. 67 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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