Dami Choi

410 total citations
5 papers, 16 citations indexed

About

Dami Choi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Dami Choi has authored 5 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Management Science and Operations Research. Recurrent topics in Dami Choi's work include Advanced Multi-Objective Optimization Algorithms (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Machine Learning and Data Classification (1 paper). Dami Choi is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Machine Learning and Data Classification (1 paper). Dami Choi collaborates with scholars based in Canada, United States and Switzerland. Dami Choi's co-authors include Luke Metz, Jascha Sohl‐Dickstein, Niru Maheswaranathan, George Tucker, Chris J. Maddison, Daniel Tarlow, Andreas Krause, Shula Marks, James Requeima and Richard Turner and has published in prestigious journals such as arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Dami Choi

3 papers receiving 16 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dami Choi Canada	3	13	5	3	2	1	5	16
Hansol Ryu South Korea	2	11 0.8×	6 1.2×	2 0.7×			3	11
Huaxiong Wang Singapore	3	14 1.1×	3 0.6×	3 1.0×			3	16
Pratish Datta India	3	17 1.3×	4 0.8×	2 0.7×			9	18
Leslie Rice United States	3	10 0.8×	3 0.6×	3 1.0×	1 0.5×	1 1.0×	3	17
Aleksandar Zeljić Sweden	3	11 0.8×	9 1.8×	3 1.0×		1 1.0×	5	14
Ioana Ivan Israel	2	10 0.8×	5 1.0×	2 0.7×			2	15
Hart Montgomery United States	2	17 1.3×	5 1.0×	6 2.0×			5	20
Tej Pandit United States	3	9 0.7×	3 0.6×	5 1.7×			5	21
Nino Vieillard United States	2	16 1.2×	2 0.4×	2 0.7×	2 1.0×		2	19
Brian Huffman Germany	3	17 1.3×	8 1.6×	2 0.7×			5	20

Countries citing papers authored by Dami Choi

Since Specialization

Citations

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

Fields of papers citing papers by Dami Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dami Choi

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

All Works

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5 of 5 papers shown

1.

Choi, Dami, et al.. (2024). LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language. 109609–109671.

2.

Anil, Cem, J. Nicholas Betley, Dami Choi, et al.. (2024). Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data. 140667–140730.

3.

Choi, Dami, et al.. (2020). Gradient Estimation with Stochastic Softmax Tricks. Neural Information Processing Systems. 33. 5691–5704. 3 indexed citations

4.

Maheswaranathan, Niru, Luke Metz, George Tucker, Dami Choi, & Jascha Sohl‐Dickstein. (2018). Guided Evolutionary Strategies: Escaping the curse of dimensionality in random search. 7 indexed citations

5.

Maheswaranathan, Niru, Luke Metz, George Tucker, Dami Choi, & Jascha Sohl‐Dickstein. (2018). Guided evolutionary strategies: Augmenting random search with surrogate gradients. arXiv (Cornell University). 4264–4273. 6 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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