J.M. Machado

64 total papers · 527 total citations
41 papers, 386 citations indexed

About

J.M. Machado is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials and Artificial Intelligence. According to data from OpenAlex, J.M. Machado has authored 41 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 8 papers in Mechanics of Materials and 8 papers in Artificial Intelligence. Recurrent topics in J.M. Machado's work include Numerical methods in engineering (7 papers), Genomics and Phylogenetic Studies (6 papers) and Electromagnetic Simulation and Numerical Methods (5 papers). J.M. Machado is often cited by papers focused on Numerical methods in engineering (7 papers), Genomics and Phylogenetic Studies (6 papers) and Electromagnetic Simulation and Numerical Methods (5 papers). J.M. Machado collaborates with scholars based in Brazil, China and Hong Kong. J.M. Machado's co-authors include S. L. Ho, Shiyou Yang, Heung Wong, José Roberto Cardoso, Guangzheng Ni, Shiyou Yang, Marcos A. R. Franco, M.A. Rahman, Ping Zhou and Alex Sandro Roschildt Pinto and has published in prestigious journals such as Expert Systems with Applications, Computer Methods in Applied Mechanics and Engineering and BMC Bioinformatics.

In The Last Decade

J.M. Machado

39 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
J.M. Machado	132	114	75	58	51	41	386
Manuel Carretero	60 0.5×	107 0.9×	24 0.3×	67 1.2×	92 1.8×	31	387
R. Bains	55 0.4×	64 0.6×	18 0.2×	29 0.5×	35 0.7×	19	349
Min Huang	151 1.1×	42 0.4×	32 0.4×	22 0.4×	26 0.5×	55	431
T.D. Howell	168 1.3×	41 0.4×	110 1.5×	149 2.6×	40 0.8×	25	444
Trevor Campbell	43 0.3×	54 0.5×	97 1.3×	23 0.4×	39 0.8×	24	356
Ryuji Shioya	129 1.0×	118 1.0×	15 0.2×	66 1.1×	208 4.1×	49	423
Abhay K. Singh	81 0.6×	45 0.4×	61 0.8×	11 0.2×	10 0.2×	26	422
Changlong Wang	77 0.6×	65 0.6×	32 0.4×	25 0.4×	8 0.2×	48	383
Xin Sun	73 0.6×	82 0.7×	110 1.5×	29 0.5×	9 0.2×	40	444
D. Palmer	142 1.1×	61 0.5×	50 0.7×	176 3.0×	38 0.7×	28	343

Countries citing papers authored by J.M. Machado

Since Specialization

Citations

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

Fields of papers citing papers by J.M. Machado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.M. Machado

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