Meng Guo

77 total papers · 1.3k total citations
48 papers, 837 citations indexed

About

Meng Guo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Meng Guo has authored 48 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Meng Guo's work include Robotic Path Planning Algorithms (17 papers), Distributed Control Multi-Agent Systems (17 papers) and Logic, Reasoning, and Knowledge (11 papers). Meng Guo is often cited by papers focused on Robotic Path Planning Algorithms (17 papers), Distributed Control Multi-Agent Systems (17 papers) and Logic, Reasoning, and Knowledge (11 papers). Meng Guo collaborates with scholars based in Sweden, China and United States. Meng Guo's co-authors include Dimos V. Dimarogonas, Michael M. Zavlanos, Karl Henrik Johansson, Jana Tůmová, Yiannis Kantaros, Zhongkui Li, Mathias Bürger, Lars Lindemann, Charalampos P. Bechlioulis and Kostas J. Kyriakopoulos and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and The International Journal of Robotics Research.

In The Last Decade

Meng Guo

43 papers receiving 813 citations

Author Peers

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

Author Last Decade Papers Cites
Meng Guo 347 316 305 249 190 48 837
Yiannis Kantaros 431 1.2× 215 0.7× 262 0.9× 299 1.2× 119 0.6× 43 822
Xu Chu Ding 190 0.5× 368 1.2× 293 1.0× 295 1.2× 130 0.7× 24 717
Håkan L. S. Younes 305 0.9× 250 0.8× 393 1.3× 246 1.0× 61 0.3× 16 925
James Kurien 200 0.6× 133 0.4× 452 1.5× 169 0.7× 272 1.4× 28 849
Morteza Lahijanian 92 0.3× 543 1.7× 494 1.6× 347 1.4× 187 1.0× 65 962
David B. Stewart 205 0.6× 95 0.3× 183 0.6× 64 0.3× 118 0.6× 39 756
Shige Wang 292 0.8× 116 0.4× 202 0.7× 83 0.3× 180 0.9× 46 898
Bavani Kannan 152 0.4× 456 1.4× 623 2.0× 165 0.7× 116 0.6× 28 1.0k
Michel Le Borgne 109 0.3× 296 0.9× 89 0.3× 241 1.0× 178 0.9× 29 890
Antoine Petit 120 0.3× 491 1.6× 255 0.8× 191 0.8× 110 0.6× 31 1.1k

Countries citing papers authored by Meng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Meng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Guo. A scholar is included among the top collaborators of Meng Guo 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 Meng Guo. Meng Guo 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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