Murilo Coelho Naldi

53 total papers · 599 total citations
27 papers, 398 citations indexed

About

Murilo Coelho Naldi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Murilo Coelho Naldi has authored 27 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Murilo Coelho Naldi's work include Advanced Clustering Algorithms Research (17 papers), Data Stream Mining Techniques (9 papers) and Data Mining Algorithms and Applications (6 papers). Murilo Coelho Naldi is often cited by papers focused on Advanced Clustering Algorithms Research (17 papers), Data Stream Mining Techniques (9 papers) and Data Mining Algorithms and Applications (6 papers). Murilo Coelho Naldi collaborates with scholars based in Brazil, Canada and Australia. Murilo Coelho Naldi's co-authors include André C. P. L. F. de Carvalho, Ricardo J. G. B. Campello, Eduardo R. Hruschka, João Fernando Mari, Jörg Sander, André Luis Debiaso Rossi, André Fontana, Evangelos Milios, Elaine R. Faria and Jonathan de Andrade Silva and has published in prestigious journals such as Neurocomputing, Applied Soft Computing and Applied Sciences.

In The Last Decade

Murilo Coelho Naldi

26 papers receiving 385 citations

Author Peers

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

Author Last Decade Papers Cites
Murilo Coelho Naldi 244 108 56 55 28 27 398
Damien François 204 0.8× 158 1.5× 72 1.3× 37 0.7× 16 0.6× 25 415
Shibing Zhou 130 0.5× 64 0.6× 44 0.8× 31 0.6× 37 1.3× 25 359
Sraban Kumar Mohanty 285 1.2× 138 1.3× 54 1.0× 83 1.5× 62 2.2× 33 437
Dunlu Peng 207 0.8× 110 1.0× 22 0.4× 107 1.9× 23 0.8× 52 426
Tianqi Zhang 149 0.6× 76 0.7× 30 0.5× 51 0.9× 18 0.6× 25 362
Saeed Masoudnia 213 0.9× 125 1.2× 36 0.6× 23 0.4× 10 0.4× 18 432
Jinchao Ji 271 1.1× 121 1.1× 95 1.7× 105 1.9× 36 1.3× 23 436
Ahmed Fahim 217 0.9× 98 0.9× 73 1.3× 86 1.6× 22 0.8× 20 347
Vahideh Rezaie 213 0.9× 105 1.0× 23 0.4× 31 0.6× 65 2.3× 21 333
Hsin-Yu Ha 139 0.6× 115 1.1× 31 0.6× 34 0.6× 11 0.4× 17 347

Countries citing papers authored by Murilo Coelho Naldi

Since Specialization
Citations

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

Fields of papers citing papers by Murilo Coelho Naldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murilo Coelho Naldi. 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 Murilo Coelho Naldi. The network helps show where Murilo Coelho Naldi may publish in the future.

Co-authorship network of co-authors of Murilo Coelho Naldi

This figure shows the co-authorship network connecting the top 25 collaborators of Murilo Coelho Naldi. A scholar is included among the top collaborators of Murilo Coelho Naldi 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 Murilo Coelho Naldi. Murilo Coelho Naldi 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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