Marlos C. Machado

81 total papers · 1.0k total citations
21 papers, 289 citations indexed

About

Marlos C. Machado is a scholar working on Artificial Intelligence, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Marlos C. Machado has authored 21 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 4 papers in Sociology and Political Science. Recurrent topics in Marlos C. Machado's work include Reinforcement Learning in Robotics (11 papers), Artificial Intelligence in Games (9 papers) and Advanced Bandit Algorithms Research (6 papers). Marlos C. Machado is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Artificial Intelligence in Games (9 papers) and Advanced Bandit Algorithms Research (6 papers). Marlos C. Machado collaborates with scholars based in Canada, United States and Brazil. Marlos C. Machado's co-authors include Marc G. Bellemare, Jun Gong, Pablo Samuel Castro, Sameera Ponda, Ziyu Wang, Subhodeep Moitra, Salvatore Candido, Michael Bowling, Luiz Chaimowicz and Yitao Liang and has published in prestigious journals such as Nature, Artificial Intelligence and Machine Learning.

In The Last Decade

Marlos C. Machado

20 papers receiving 275 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marlos C. Machado 152 66 40 38 36 21 289
Vahid Seydi 131 0.9× 30 0.5× 28 0.7× 9 0.2× 45 1.3× 26 283
Michael Quinlan 101 0.7× 25 0.4× 68 1.7× 9 0.2× 63 1.8× 25 273
Jun Tang 67 0.4× 94 1.4× 83 2.1× 15 0.4× 27 0.8× 21 272
Rui Jiang 109 0.7× 153 2.3× 93 2.3× 39 1.0× 35 1.0× 30 311
R.L. Frost 49 0.3× 82 1.2× 108 2.7× 10 0.3× 57 1.6× 29 331
Jiajia Xie 40 0.3× 38 0.6× 49 1.2× 68 1.8× 27 0.8× 17 193
Kazuyuki Hara 107 0.7× 18 0.3× 80 2.0× 16 0.4× 23 0.6× 20 331
David Jin 60 0.4× 21 0.3× 19 0.5× 16 0.4× 19 0.5× 27 290
L. Molnár 46 0.3× 24 0.4× 37 0.9× 30 0.8× 40 1.1× 15 188
Zhiquan Ye 100 0.7× 107 1.6× 41 1.0× 7 0.2× 34 0.9× 22 254

Countries citing papers authored by Marlos C. Machado

Since Specialization
Citations

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

Fields of papers citing papers by Marlos C. Machado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marlos C. Machado. 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 Marlos C. Machado. The network helps show where Marlos C. Machado may publish in the future.

Co-authorship network of co-authors of Marlos C. Machado

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

All Works

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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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