Bruno Lacerda

865 total citations
41 papers, 386 citations indexed

About

Bruno Lacerda is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Bruno Lacerda has authored 41 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 8 papers in Control and Systems Engineering. Recurrent topics in Bruno Lacerda's work include Formal Methods in Verification (18 papers), Reinforcement Learning in Robotics (11 papers) and Petri Nets in System Modeling (9 papers). Bruno Lacerda is often cited by papers focused on Formal Methods in Verification (18 papers), Reinforcement Learning in Robotics (11 papers) and Petri Nets in System Modeling (9 papers). Bruno Lacerda collaborates with scholars based in United Kingdom, Portugal and United States. Bruno Lacerda's co-authors include Nick Hawes, David Parker, Pedro U. Lima, Paul Duckworth, Marc Hanheide, Jaime Pulido Fentanes, Tomáš Krajník, Jeremy Wyatt, Manuel Mühlig and Jana Tůmová and has published in prestigious journals such as IEEE Transactions on Automatic Control, The International Journal of Robotics Research and IEEE Transactions on Robotics.

In The Last Decade

Bruno Lacerda

40 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bruno Lacerda United Kingdom	13	190	147	122	61	57	41	386
Philipp Schillinger Germany	9	125 0.7×	104 0.7×	118 1.0×	79 1.3×	55 1.0×	20	323
Nikos Aréchiga United States	11	115 0.6×	135 0.9×	44 0.4×	92 1.5×	49 0.9×	32	343
Nico Hochgeschwender Germany	9	222 1.2×	37 0.3×	85 0.7×	87 1.4×	125 2.2×	46	425
F. Kabanza Canada	11	213 1.1×	130 0.9×	70 0.6×	64 1.0×	42 0.7×	15	400
Yash Vardhan Pant United States	7	90 0.5×	113 0.8×	58 0.5×	86 1.4×	37 0.6×	31	278
Theodore W. Manikas United States	10	108 0.6×	35 0.2×	221 1.8×	114 1.9×	34 0.6×	41	427
Michael Hofbaur Austria	11	127 0.7×	58 0.4×	73 0.6×	200 3.3×	35 0.6×	53	417
Christian Heinzemann Germany	10	173 0.9×	92 0.6×	64 0.5×	46 0.8×	143 2.5×	36	359
Petter Nilsson United States	14	99 0.5×	219 1.5×	73 0.6×	279 4.6×	43 0.8×	26	474
Eric M. Wolff United States	12	142 0.7×	239 1.6×	87 0.7×	97 1.6×	77 1.4×	17	427

Countries citing papers authored by Bruno Lacerda

Since Specialization

Citations

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

Fields of papers citing papers by Bruno Lacerda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Lacerda

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lacerda, Bruno, et al.. (2024). A Framework for Simultaneous Task Allocation and Planning under Uncertainty. ACM Transactions on Autonomous and Adaptive Systems. 19(4). 1–30. 1 indexed citations

Lacerda, Bruno, et al.. (2024). Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty. Journal of Artificial Intelligence Research. 79. 137–171. 2 indexed citations

Duckworth, Paul, et al.. (2024). Planning under uncertainty for safe robot exploration using Gaussian process prediction. Autonomous Robots. 48(7). 18–18. 1 indexed citations

Duckworth, Paul, et al.. (2024). Correction: Planning under uncertainty for safe robot exploration using gaussian process prediction. Autonomous Robots. 48(8). 1 indexed citations

Mansouri, Masoumeh, et al.. (2023). Formal Modelling for Multi-Robot Systems Under Uncertainty. University of Birmingham Research Portal (University of Birmingham). 4(3). 55–64. 1 indexed citations

Booth, Serena, et al.. (2023). Variable Autonomy for Human-Robot Teaming (VAT). University of Birmingham Research Portal (University of Birmingham). 932–934. 2 indexed citations

Lacerda, Bruno, et al.. (2023). Planning with Hidden Parameter Polynomial MDPs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 11963–11971. 2 indexed citations

Mühlig, Manuel, et al.. (2021). Congestion-Aware Policy Synthesis for Multirobot Systems. IEEE Transactions on Robotics. 38(1). 262–280. 14 indexed citations

Lacerda, Bruno, et al.. (2021). Active inference for integrated state-estimation, control, and learning. Oxford University Research Archive (ORA) (University of Oxford). 14 indexed citations

10.

Azevedo, Carlos Lima, Bruno Lacerda, Nick Hawes, & Pedro U. Lima. (2020). Long-Run Multi-Robot Planning Under Uncertain Task Durations. Adaptive Agents and Multi-Agents Systems. 2168–2170. 1 indexed citations

11.

Lacerda, Bruno, et al.. (2020). Battery charge scheduling in long-life autonomous mobile robots via multi-objective decision making under uncertainty. Robotics and Autonomous Systems. 133. 103629–103629. 18 indexed citations

12.

Duckworth, Paul, Bruno Lacerda, & Nick Hawes. (2020). Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. Oxford University Research Archive (ORA) (University of Oxford). 1654–1668. 3 indexed citations

13.

Lacerda, Bruno, et al.. (2020). Multi-Robot Planning Under Uncertainty with Congestion-Aware Models. Oxford University Research Archive (ORA) (University of Oxford). 1314–1322. 9 indexed citations

14.

Duckworth, Paul, et al.. (2020). Adaptive Manipulator Control using Active Inference with Precision Learning. 3. 105–107. 1 indexed citations

15.

Lacerda, Bruno & Pedro U. Lima. (2019). Petri net based multi-robot task coordination from temporal logic specifications. Robotics and Autonomous Systems. 122. 103289–103289. 26 indexed citations

16.

Lacerda, Bruno, et al.. (2019). Probabilistic planning with formal performance guarantees for mobile service robots. The International Journal of Robotics Research. 38(9). 1098–1123. 42 indexed citations

17.

Lacerda, Bruno, David Parker, & Nick Hawes. (2015). Optimal policy generation for partially satisfiable co-safe LTL specifications. University of Birmingham Research Portal (University of Birmingham). 1587–1593. 24 indexed citations

18.

Lacerda, Bruno, David Parker, & Nick Hawes. (2014). Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications. University of Birmingham Research Portal (University of Birmingham). 1511–1516. 51 indexed citations

19.

Lacerda, Bruno & Pedro U. Lima. (2011). Designing petri net supervisors for multi-agent systems from LTL specifications. PubMed Central. 1253–1254. 1 indexed citations

20.

Lacerda, Bruno & Pedro U. Lima. (2008). Linear-time temporal logic control of discrete event models of cooperative robots. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2(1). 53–61. 2 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.

Explore authors with similar magnitude of impact