Christopher E. Denniston

455 total citations
8 papers, 159 citations indexed

About

Christopher E. Denniston is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Christopher E. Denniston has authored 8 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Christopher E. Denniston's work include Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (4 papers) and Gaussian Processes and Bayesian Inference (2 papers). Christopher E. Denniston is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (4 papers) and Gaussian Processes and Bayesian Inference (2 papers). Christopher E. Denniston collaborates with scholars based in United States, Germany and Norway. Christopher E. Denniston's co-authors include Ali‐akbar Agha‐mohammadi, Gaurav S. Sukhatme, Kamak Ebadi, Yun Chang, Benjamin Morrell, Luca Carlone, Andrzej Reinke, Matteo Palieri, Antoni Rosinol and A. Chatterjee and has published in prestigious journals such as IEEE Robotics and Automation Letters and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Christopher E. Denniston

8 papers receiving 149 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher E. Denniston United States	5	114	91	31	23	23	8	159
Muhammad Fadhil Ginting United States	5	100 0.9×	81 0.9×	32 1.0×	24 1.0×	26 1.1×	11	151
Victor Reijgwart Switzerland	6	159 1.4×	137 1.5×	28 0.9×	33 1.4×	15 0.7×	11	203
Riku Murai United Kingdom	4	105 0.9×	102 1.1×	30 1.0×	13 0.6×	12 0.5×	5	183
Nobuhiro Funabiki Japan	3	124 1.1×	71 0.8×	25 0.8×	13 0.6×	19 0.8×	6	151
Julio A. Placed Spain	5	165 1.4×	154 1.7×	45 1.5×	23 1.0×	23 1.0×	7	219
Abhishek Thakur India	4	122 1.1×	80 0.9×	20 0.6×	11 0.5×	15 0.7×	12	161
Andrzej Reinke Germany	4	166 1.5×	109 1.2×	35 1.1×	17 0.7×	17 0.7×	4	205
Kirk MacTavish Canada	9	167 1.5×	150 1.6×	17 0.5×	22 1.0×	12 0.5×	10	226
Franz Andert Germany	11	206 1.8×	170 1.9×	12 0.4×	21 0.9×	21 0.9×	34	249

Countries citing papers authored by Christopher E. Denniston

Since Specialization

Citations

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

Fields of papers citing papers by Christopher E. Denniston

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher E. Denniston. 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 Christopher E. Denniston. The network helps show where Christopher E. Denniston may publish in the future.

Co-authorship network of co-authors of Christopher E. Denniston

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

All Works

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8 of 8 papers shown

Denniston, Christopher E., Sangwoo Moon, Sung Kyun Kim, et al.. (2023). Fast and Scalable Signal Inference for Active Robotic Source Seeking. 7909–7915. 3 indexed citations

Denniston, Christopher E., et al.. (2023). Learned Parameter Selection for Robotic Information Gathering. 10519–10526. 1 indexed citations

Chang, Yun, Kamak Ebadi, Christopher E. Denniston, et al.. (2022). LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments. IEEE Robotics and Automation Letters. 7(4). 9175–9182. 99 indexed citations

Denniston, Christopher E., Yun Chang, Andrzej Reinke, et al.. (2022). Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM. IEEE Robotics and Automation Letters. 7(4). 9651–9658. 23 indexed citations

Denniston, Christopher E., et al.. (2022). Informative Path Planning to Estimate Quantiles for Environmental Analysis. IEEE Robotics and Automation Letters. 7(4). 10280–10287. 12 indexed citations

Heiden, Eric, Christopher E. Denniston, David Millard, Fábio Ramos, & Gaurav S. Sukhatme. (2022). Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. 2022 International Conference on Robotics and Automation (ICRA). 3638–3645. 12 indexed citations

Salhotra, Gautam, Christopher E. Denniston, David A. Caron, & Gaurav S. Sukhatme. (2021). Adaptive Sampling using POMDPs with Domain-Specific Considerations. 25. 2385–2391. 3 indexed citations

Denniston, Christopher E., Thomas R. Krogstad, Stephanie Kemna, & Gaurav S. Sukhatme. (2018). On-line AUV Survey Planning for Finding Safe Vessel Paths through Hazardous Environments. 1–8. 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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