Sean Sedwards

1.1k total citations
31 papers, 279 citations indexed

About

Sean Sedwards is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Sean Sedwards has authored 31 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 6 papers in Control and Systems Engineering. Recurrent topics in Sean Sedwards's work include Formal Methods in Verification (10 papers), Adversarial Robustness in Machine Learning (7 papers) and Software Reliability and Analysis Research (4 papers). Sean Sedwards is often cited by papers focused on Formal Methods in Verification (10 papers), Adversarial Robustness in Machine Learning (7 papers) and Software Reliability and Analysis Research (4 papers). Sean Sedwards collaborates with scholars based in Canada, France and Italy. Sean Sedwards's co-authors include Axel Legay, Matteo Cavaliere, Ichiro Hasuo, Gidon Ernst, Zhenya Zhang, Attila Csikász‐Nagy, Martin A. Nowak, Corina E. Tarnita, Pedro R. D’Argenio and Paolo Arcaini and has published in prestigious journals such as Journal of Theoretical Biology, Seminars in Cancer Biology and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Sean Sedwards

29 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean Sedwards Canada 8 76 62 59 46 40 31 279
Andrea De Lorenzo Italy 13 40 0.5× 121 2.0× 281 4.8× 33 0.7× 11 0.3× 54 538
Nithin Mathews Belgium 8 22 0.3× 11 0.2× 121 2.1× 110 2.4× 32 0.8× 15 524
Gianpiero Francesca Belgium 11 37 0.5× 25 0.4× 237 4.0× 231 5.0× 30 0.8× 27 540
Giovanni Pini Belgium 11 25 0.3× 11 0.2× 154 2.6× 132 2.9× 58 1.4× 16 603
Wolfram Luther Germany 10 41 0.5× 12 0.2× 33 0.6× 70 1.5× 18 0.5× 77 334
Carlos Hernández Spain 10 21 0.3× 19 0.3× 119 2.0× 32 0.7× 10 0.3× 41 291
Ulrike Meyer Germany 12 14 0.2× 19 0.3× 248 4.2× 32 0.7× 43 1.1× 72 681
Yu Sheng China 9 10 0.1× 28 0.5× 71 1.2× 31 0.7× 9 0.2× 52 342
Valentin Longchamp Switzerland 5 12 0.2× 5 0.1× 54 0.9× 60 1.3× 30 0.8× 6 279
Frédéric Gruau France 8 70 0.9× 7 0.1× 380 6.4× 28 0.6× 24 0.6× 21 476

Countries citing papers authored by Sean Sedwards

Since Specialization
Citations

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

Fields of papers citing papers by Sean Sedwards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Sedwards

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Sedwards. A scholar is included among the top collaborators of Sean Sedwards 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 Sean Sedwards. Sean Sedwards 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.
Sedwards, Sean, et al.. (2024). 3D Object Detection with Track-Based Auto-Labelling Using Very Sparsely Labelled Data. 3497–3504. 1 indexed citations
2.
Sedwards, Sean, et al.. (2023). Uniformly constrained reinforcement learning. Autonomous Agents and Multi-Agent Systems. 38(1). 1 indexed citations
3.
Queiroz, Rodrigo, et al.. (2022). A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation. 2022 IEEE Intelligent Vehicles Symposium (IV). 533–541. 2 indexed citations
4.
Ernst, Gidon, et al.. (2022). Time-Staging Enhancement of Hybrid System Falsification. Electronic Proceedings in Theoretical Computer Science. 361. 25–43. 1 indexed citations
5.
Czarnecki, Krzysztof, et al.. (2021). Transfer Reinforcement Learning for Autonomous Driving. ACM Transactions on Modeling and Computer Simulation. 31(3). 1–26. 6 indexed citations
6.
Budde, Carlos E., Pedro R. D’Argenio, Arnd Hartmanns, & Sean Sedwards. (2020). An efficient statistical model checker for nondeterminism and rare events. International Journal on Software Tools for Technology Transfer. 22(6). 759–780. 13 indexed citations
7.
Salay, Rick, et al.. (2020). PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety with ML.. National Conference on Artificial Intelligence. 91–95. 7 indexed citations
8.
Czarnecki, Krzysztof, et al.. (2020). Simple Continual Learning Strategies for Safer Classifers.. National Conference on Artificial Intelligence. 96–104. 4 indexed citations
9.
Given-Wilson, Thomas, Axel Legay, Sean Sedwards, & Olivier Zendra. (2018). Group abstraction for assisted navigation of social activities in intelligent environments. Journal of Reliable Intelligent Environments. 4(2). 107–120. 2 indexed citations
10.
Yaghoubi, Shakiba, Georgios Fainekos, Gidon Ernst, et al.. (2018). ARCH-COMP18 Category Report: Results on the Falsification Benchmarks. EPiC series in computing. 54. 104–97. 7 indexed citations
11.
Hartmanns, Arnd, Sean Sedwards, & Pedro R. D’Argenio. (2017). Efficient simulation-based verification of probabilistic timed automata. 2017 Winter Simulation Conference (WSC). 1419–1430. 3 indexed citations
12.
Legay, Axel, et al.. (2016). Command-based importance sampling for statistical model checking. Theoretical Computer Science. 649. 1–24. 7 indexed citations
13.
Colombo, Alessio, Daniele Fontanelli, Axel Legay, Luigi Palopoli, & Sean Sedwards. (2015). Efficient customisable dynamic motion planning for assistive robots in complex human environments. Journal of Ambient Intelligence and Smart Environments. 7(5). 617–634. 21 indexed citations
14.
Legay, Axel, et al.. (2015). Distributed Verification of Rare Properties using Importance Splitting Observers. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
15.
Palopoli, Luigi, Antonis Argyros, Alessio Colombo, et al.. (2015). Navigation assistance and guidance of older adults across complex public spaces: the DALi approach. Intelligent Service Robotics. 8(2). 77–92. 54 indexed citations
16.
Legay, Axel & Sean Sedwards. (2013). Lightweight Monte Carlo Algorithm for Markov Decision Processe Verification. arXiv (Cornell University). 2 indexed citations
17.
Csikász‐Nagy, Attila, Luis M. Escudero, Martial Guillaud, et al.. (2013). Cooperation and competition in the dynamics of tissue architecture during homeostasis and tumorigenesis. Seminars in Cancer Biology. 23(4). 293–298. 14 indexed citations
18.
Cavaliere, Matteo, Sean Sedwards, Corina E. Tarnita, Martin A. Nowak, & Attila Csikász‐Nagy. (2011). Prosperity is associated with instability in dynamical networks. Journal of Theoretical Biology. 299. 126–138. 44 indexed citations
19.
Ihekwaba, Adaoha & Sean Sedwards. (2011). Communicating oscillatory networks: frequency domain analysis. BMC Systems Biology. 5(1). 203–203. 3 indexed citations
20.
Cavaliere, Matteo & Sean Sedwards. (2008). Decision problems in membrane systems with peripheral proteins, transport and evolution. Theoretical Computer Science. 404(1-2). 40–51. 5 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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