Alexander L. Gaunt

3.4k total citations · 2 hit papers
26 papers, 1.7k citations indexed

About

Alexander L. Gaunt is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Alexander L. Gaunt has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atomic and Molecular Physics, and Optics, 13 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Alexander L. Gaunt's work include Cold Atom Physics and Bose-Einstein Condensates (12 papers), Quantum, superfluid, helium dynamics (7 papers) and Machine Learning in Materials Science (4 papers). Alexander L. Gaunt is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (12 papers), Quantum, superfluid, helium dynamics (7 papers) and Machine Learning in Materials Science (4 papers). Alexander L. Gaunt collaborates with scholars based in United Kingdom, United States and Germany. Alexander L. Gaunt's co-authors include Zoran Hadzibabic, Robert P. Smith, Nir Navon, Igor Gotlibovych, Tobias F. Schmidutz, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow, Matej Balog and R. Fletcher and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Alexander L. Gaunt

26 papers receiving 1.7k citations

Hit Papers

Bose-Einstein Condensation of Atoms in a Uniform Potential 2013 2026 2017 2021 2013 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander L. Gaunt United Kingdom 15 1.3k 250 238 221 149 26 1.7k
Michael Harder Canada 23 1.4k 1.1× 389 1.6× 248 1.0× 217 1.0× 63 0.4× 46 2.3k
Rob H. Bisseling Netherlands 17 1.1k 0.8× 201 0.8× 40 0.2× 76 0.3× 175 1.2× 49 2.0k
Yunkai Zhou United States 16 420 0.3× 94 0.4× 106 0.4× 223 1.0× 191 1.3× 43 1.0k
Pierre Barthelemy Italy 9 491 0.4× 208 0.8× 108 0.5× 104 0.5× 174 1.2× 12 1.0k
Lemin Li China 26 667 0.5× 102 0.4× 45 0.2× 409 1.9× 26 0.2× 292 2.9k
Rubin H. Landau United States 22 612 0.5× 63 0.3× 128 0.5× 84 0.4× 90 0.6× 97 2.0k
Jonathan L. DuBois United States 17 806 0.6× 392 1.6× 211 0.9× 117 0.5× 62 0.4× 55 1.1k
Pratap Pattnaik United States 25 650 0.5× 77 0.3× 1.2k 4.9× 297 1.3× 37 0.2× 97 2.3k
Bela Bauer United States 24 2.3k 1.8× 723 2.9× 1.1k 4.4× 125 0.6× 499 3.3× 46 2.7k
Masayuki Ohzeki Japan 17 486 0.4× 531 2.1× 316 1.3× 91 0.4× 209 1.4× 87 1.1k

Countries citing papers authored by Alexander L. Gaunt

Since Specialization
Citations

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

Fields of papers citing papers by Alexander L. Gaunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander L. Gaunt

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander L. Gaunt. A scholar is included among the top collaborators of Alexander L. Gaunt 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 L. Gaunt. Alexander L. Gaunt 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.
Aykol, Muratahan, Simon Batzner, Ekin D. Cubuk, et al.. (2024). Generative Hierarchical Materials Search. 38799–38819. 1 indexed citations
2.
Kirkpatrick, James, David H. P. Turban, Alexander L. Gaunt, et al.. (2021). Pushing the frontiers of density functionals by solving the fractional electron problem. Science. 374(6573). 1385–1389. 243 indexed citations breakdown →
3.
Zhang, Jinny Xuemeng, Boyan Yordanov, Alexander L. Gaunt, et al.. (2021). A deep learning model for predicting next-generation sequencing depth from DNA sequence. Nature Communications. 12(1). 4387–4387. 47 indexed citations
4.
Viebahn, Konrad, et al.. (2020). Observing Localization in a 2D Quasicrystalline Optical Lattice. Physical Review Letters. 125(20). 200604–200604. 63 indexed citations
5.
Wu, Anqi, Sebastian Nowozin, Edward Meeds, et al.. (2018). Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks. arXiv (Cornell University). 4 indexed citations
6.
Liu, Qi, Miltiadis Allamanis, Marc Brockschmidt, & Alexander L. Gaunt. (2018). Constrained Graph Variational Autoencoders for Molecule Design. arXiv (Cornell University). 31. 7795–7804. 45 indexed citations
7.
Yin, Pengcheng, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, & Alexander L. Gaunt. (2018). Learning to Represent Edits.. arXiv (Cornell University). 14 indexed citations
8.
Liao, Renjie, Marc Brockschmidt, Daniel Tarlow, et al.. (2018). Graph Partition Neural Networks for Semi-Supervised Classification. arXiv (Cornell University). 2 indexed citations
9.
Brockschmidt, Marc, et al.. (2016). Neural Functional Programming. arXiv (Cornell University). 1 indexed citations
10.
Li, Chengtao, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, & Nate Kushman. (2016). Neural Program Lattices. International Conference on Learning Representations. 7 indexed citations
11.
Gaunt, Alexander L., Marc Brockschmidt, Nate Kushman, & Daniel Tarlow. (2016). Lifelong Perceptual Programming By Example. arXiv (Cornell University). 1 indexed citations
12.
Navon, Nir, Alexander L. Gaunt, Robert P. Smith, & Zoran Hadzibabic. (2016). Emergence of a turbulent cascade in a quantum gas. Nature. 539(7627). 72–75. 156 indexed citations
13.
Gaunt, Stephen J. & Alexander L. Gaunt. (2016). Possible rules for the ancestral origin of Hox gene collinearity. Journal of Theoretical Biology. 410. 1–8. 5 indexed citations
14.
Eigen, Christoph, Alexander L. Gaunt, Aziza Suleymanzade, et al.. (2016). Observation of Weak Collapse in a Bose-Einstein Condensate. Apollo (University of Cambridge). 28 indexed citations
15.
Gotlibovych, Igor, Tobias F. Schmidutz, Alexander L. Gaunt, et al.. (2014). Observing the Ground-State Properties of an Interacting Homogeneous Bose Gas. arXiv (Cornell University). 2 indexed citations
16.
Schmidutz, Tobias F., Igor Gotlibovych, Alexander L. Gaunt, et al.. (2014). Quantum Joule-Thomson Effect in a Saturated Homogeneous Bose Gas. Physical Review Letters. 112(4). 40403–40403. 36 indexed citations
17.
Gotlibovych, Igor, Tobias F. Schmidutz, Alexander L. Gaunt, et al.. (2014). Observing properties of an interacting homogeneous Bose-Einstein condensate: Heisenberg-limited momentum spread, interaction energy, and free-expansion dynamics. Physical Review A. 89(6). 43 indexed citations
18.
Gaunt, Alexander L., Tobias F. Schmidutz, Igor Gotlibovych, Robert P. Smith, & Zoran Hadzibabic. (2013). Bose-Einstein Condensation of Atoms in a Uniform Potential. Physical Review Letters. 110(20). 200406–200406. 521 indexed citations breakdown →
19.
Fletcher, R., Alexander L. Gaunt, Nir Navon, Robert P. Smith, & Zoran Hadzibabic. (2013). Stability of a Unitary Bose Gas. Physical Review Letters. 111(12). 125303–125303. 68 indexed citations
20.
Gaunt, Alexander L. & Zoran Hadzibabic. (2012). Robust Digital Holography For Ultracold Atom Trapping. Scientific Reports. 2(1). 721–721. 68 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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