M. Dias

122 total papers · 1.1k total citations
58 papers, 846 citations indexed

About

M. Dias is a scholar working on Materials Chemistry, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, M. Dias has authored 58 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 18 papers in Mechanical Engineering and 10 papers in Aerospace Engineering. Recurrent topics in M. Dias's work include Fusion materials and technologies (21 papers), Nuclear Materials and Properties (17 papers) and Advanced materials and composites (16 papers). M. Dias is often cited by papers focused on Fusion materials and technologies (21 papers), Nuclear Materials and Properties (17 papers) and Advanced materials and composites (16 papers). M. Dias collaborates with scholars based in Portugal, Romania and Spain. M. Dias's co-authors include Paulo R. Fernandes, J. M. Guedes, Scott J. Hollister, E. Alves, Colleen L. Flanagan, J.B. Correia, P.A. Carvalho, Miguel Castilho, Uwe Gbureck and A.P. Gonçalves and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Acta Materialia.

In The Last Decade

M. Dias

50 papers receiving 824 citations

Author Peers

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

Author Last Decade Papers Cites
M. Dias 377 294 250 200 114 58 846
Fabrice Petit 307 0.8× 484 1.6× 258 1.0× 221 1.1× 45 0.4× 49 996
Fei Zuo 261 0.7× 305 1.0× 260 1.0× 87 0.4× 40 0.4× 42 852
Chao Hu 325 0.9× 218 0.7× 112 0.4× 180 0.9× 71 0.6× 46 770
Xiaohui Chen 285 0.8× 230 0.8× 170 0.7× 111 0.6× 81 0.7× 47 1.0k
Sara Madeira 211 0.6× 515 1.8× 228 0.9× 135 0.7× 54 0.5× 43 857
Ramin Rahmani 205 0.5× 504 1.7× 217 0.9× 321 1.6× 31 0.3× 35 799
Hua Xin 183 0.5× 278 0.9× 250 1.0× 69 0.3× 103 0.9× 46 799
Ali Fallah 358 0.9× 146 0.5× 271 1.1× 109 0.5× 91 0.8× 37 1.0k
Adele Carradò 339 0.9× 420 1.4× 270 1.1× 82 0.4× 135 1.2× 82 945
Jeremy Bowman 410 1.1× 123 0.4× 141 0.6× 86 0.4× 191 1.7× 29 864

Countries citing papers authored by M. Dias

Since Specialization
Citations

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

Fields of papers citing papers by M. Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Dias

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