Owen Lockwood

552 total citations
5 papers, 124 citations indexed

About

Owen Lockwood is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistics and Probability. According to data from OpenAlex, Owen Lockwood has authored 5 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Statistics and Probability. Recurrent topics in Owen Lockwood's work include Reinforcement Learning in Robotics (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and Data Stream Mining Techniques (2 papers). Owen Lockwood is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and Data Stream Mining Techniques (2 papers). Owen Lockwood collaborates with scholars based in United States and Canada. Owen Lockwood's co-authors include Mei Si, Peter Weiß and Guillaume Verdon and has published in prestigious journals such as Physical Review Research, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

In The Last Decade

Owen Lockwood

5 papers receiving 123 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Owen Lockwood United States	4	99	27	18	14	8	5	124
Kyle Hsu Canada	6	39 0.4×	37 1.4×	31 1.7×	13 0.9×	8 1.0×	8	100
Andre Petukhov United States	2	47 0.5×	11 0.4×	11 0.6×	10 0.7×	6 0.8×	3	64
Yunong Shi United States	10	158 1.6×	38 1.4×	30 1.7×	65 4.6×	4 0.5×	20	190
Joo Yeon Cho Germany	6	52 0.5×	75 2.8×	8 0.4×	9 0.6×	26 3.3×	14	120
Xin-Chuan Wu United States	5	110 1.1×	35 1.3×	15 0.8×	28 2.0×	10 1.3×	8	124
Andreas Bärtschi United States	8	101 1.0×	15 0.6×	25 1.4×	40 2.9×	10 1.3×	24	130
X. Wang China	5	51 0.5×	5 0.2×	10 0.6×	9 0.6×	7 0.9×	25	109
Christophe Petit Belgium	6	97 1.0×	20 0.7×	14 0.8×	6 0.4×	5 0.6×	23	122
André Schrottenloher France	5	116 1.2×	13 0.5×	15 0.8×	7 0.5×	11 1.4×	13	133
Rafael Misoczki United States	5	99 1.0×	26 1.0×	10 0.6×	8 0.6×	27 3.4×	13	144

Countries citing papers authored by Owen Lockwood

Since Specialization

Citations

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

Fields of papers citing papers by Owen Lockwood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Owen Lockwood

This figure shows the co-authorship network connecting the top 25 collaborators of Owen Lockwood. A scholar is included among the top collaborators of Owen Lockwood 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 Owen Lockwood. Owen Lockwood 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.

Lockwood, Owen, et al.. (2024). Quantum dynamical Hamiltonian Monte Carlo. Physical Review Research. 6(3). 8 indexed citations

2.

Lockwood, Owen & Mei Si. (2022). A Review of Uncertainty for Deep Reinforcement Learning. arXiv (Cornell University). 4 indexed citations

3.

Lockwood, Owen & Mei Si. (2022). A Review of Uncertainty for Deep Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 18(1). 155–162. 25 indexed citations

4.

Lockwood, Owen, et al.. (2021). Replicating Softmax Deep Double Deterministic Policy Gradients. 1 indexed citations

5.

Lockwood, Owen & Mei Si. (2020). Reinforcement Learning with Quantum Variational Circuit. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 16(1). 245–251. 86 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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