Román Marchant

800 total citations
15 papers, 509 citations indexed

About

Román Marchant is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Román Marchant has authored 15 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Román Marchant's work include Advanced Multi-Objective Optimization Algorithms (5 papers), Robotic Path Planning Algorithms (5 papers) and Gaussian Processes and Bayesian Inference (4 papers). Román Marchant is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (5 papers), Robotic Path Planning Algorithms (5 papers) and Gaussian Processes and Bayesian Inference (4 papers). Román Marchant collaborates with scholars based in Australia, United Kingdom and United States. Román Marchant's co-authors include Fábio Ramos, Lucas Moitinho‐Silva, Georg Steinert, Ute Hentschel, Susanna López‐Legentil, Torsten Thomas, Shaun Nielsen, Grace P. McCormack, Cristiane Cassiolato Pires Hardoim and Nicole S. Webster and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and The International Journal of Robotics Research.

In The Last Decade

Román Marchant

13 papers receiving 490 citations

Peers

Román Marchant

AI

CVPR

BIOTE

AE

PHARM

Yin Wang China

Zhangliang Chen China

Daisaku Arita Japan

Jian Peng China

Peng Zhao China

Minghua Zhang China

Chih-Lung Lin Taiwan

Muhammed Fahri Ünlerşen Türkiye

Yanhui Zhou China

Yin Wang China

Román Marchant

103 ×0.7

AI

22 ×0.2

CVPR

8 ×0.1

BIOTE

102 ×1.0

AE

6 ×0.1

PHARM

Citations per year, relative to Román Marchant Román Marchant (= 1×) peers Yin Wang

Countries citing papers authored by Román Marchant

Since Specialization

Citations

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

Fields of papers citing papers by Román Marchant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Román Marchant

This figure shows the co-authorship network connecting the top 25 collaborators of Román Marchant. A scholar is included among the top collaborators of Román Marchant 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 Román Marchant. Román Marchant 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:

15 of 15 papers shown

1.

Hickie, Ian B., Sally Cripps, Román Marchant, et al.. (2025). Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis. Journal of Medical Internet Research. 27. e71305–e71305.

2.

Moreira, Catarina, et al.. (2025). Bayesian causal discovery for policy decision making. Data & Policy. 7.

3.

Iorfino, Frank, Román Marchant, Jacob J. Crouse, et al.. (2024). A prognostic model for predicting functional impairment in youth mental health services. European Psychiatry. 67(1). e87–e87. 1 indexed citations

4.

Ott, Lionel, et al.. (2019). Occupancy map building through Bayesian exploration. The International Journal of Robotics Research. 38(7). 769–792. 17 indexed citations

5.

Marchant, Román, et al.. (2018). Continuous State-Action-Observation POMDPs for Trajectory Planning with Bayesian Optimisation. 8779–8786. 12 indexed citations

6.

Marchant, Román, S. Haan, Garner Clancey, & Sally Cripps. (2018). Applying machine learning to criminology: semi-parametric spatial-demographic Bayesian regression. SHILAP Revista de lepidopterología. 7(1). 15 indexed citations

7.

Marchant, Román, et al.. (2018). Cox Bayesian Optimization for Police Patrolling. 1 indexed citations

8.

Moitinho‐Silva, Lucas, Georg Steinert, Shaun Nielsen, et al.. (2017). Predicting the HMA-LMA Status in Marine Sponges by Machine Learning. Frontiers in Microbiology. 8. 752–752. 151 indexed citations

9.

Marchant, Román, et al.. (2017). Sequential Bayesian optimization as a POMDP for environment monitoring with UAVs. 6381–6388. 35 indexed citations

10.

Marchant, Román, Fábio Ramos, & Scott Sanner. (2014). Sequential Bayesian optimisation for spatial-temporal monitoring. ANU Open Research (Australian National University). 553–562. 28 indexed citations

11.

Souza, Jefferson R., Román Marchant, Lionel Ott, Denis F. Wolf, & Fábio Ramos. (2014). Bayesian optimisation for active perception and smooth navigation. 4081–4087. 17 indexed citations

12.

Marchant, Román & Fábio Ramos. (2014). Bayesian Optimisation for informative continuous path planning. 6136–6143. 83 indexed citations

13.

Marchant, Román & Fábio Ramos. (2012). Bayesian optimisation for Intelligent Environmental Monitoring. 2242–2249. 116 indexed citations

14.

Ruiz‐del‐Solar, Javier, et al.. (2009). Learning to fall: Designing low damage fall sequences for humanoid soccer robots. Robotics and Autonomous Systems. 57(8). 796–807. 31 indexed citations

15.

Ruiz‐del‐Solar, Javier, et al.. (2008). UChile Kiltros 2008 Team Description Paper. 372(23). 2258–64. 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.

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