Ricardo Rendall

39 total papers · 779 total citations
29 papers, 544 citations indexed

About

Ricardo Rendall is a scholar working on Control and Systems Engineering, Analytical Chemistry and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ricardo Rendall has authored 29 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 12 papers in Analytical Chemistry and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ricardo Rendall's work include Fault Detection and Control Systems (17 papers), Spectroscopy and Chemometric Analyses (12 papers) and Advanced Statistical Process Monitoring (9 papers). Ricardo Rendall is often cited by papers focused on Fault Detection and Control Systems (17 papers), Spectroscopy and Chemometric Analyses (12 papers) and Advanced Statistical Process Monitoring (9 papers). Ricardo Rendall collaborates with scholars based in Portugal, United States and Netherlands. Ricardo Rendall's co-authors include Marco S. Reis, Leo H. Chiang, Iván Castillo, Mark N. Joswiak, Zhenyu Wang, Ana C. Pereira, Biagio Palumbo, Antonio Lepore, Bo Lu and Licínio M. Gando‐Ferreira and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and Energy & Fuels.

In The Last Decade

Ricardo Rendall

28 papers receiving 520 citations

Hit Papers

Recent trends on hybrid m... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Ricardo Rendall 300 146 114 97 68 29 544
Bo Lu 224 0.7× 110 0.8× 78 0.7× 53 0.5× 53 0.8× 34 553
Ajaya Kumar Pani 348 1.2× 197 1.3× 71 0.6× 33 0.3× 32 0.5× 29 517
Jun Liu 270 0.9× 179 1.2× 51 0.4× 23 0.2× 43 0.6× 30 486
Burcu Beykal 163 0.5× 101 0.7× 45 0.4× 17 0.2× 39 0.6× 43 608
Zhengbing Yan 458 1.5× 231 1.6× 145 1.3× 121 1.2× 33 0.5× 35 590
Swanand Khare 317 1.1× 126 0.9× 86 0.8× 47 0.5× 11 0.2× 33 470
Bao Lin 310 1.0× 162 1.1× 86 0.8× 22 0.2× 18 0.3× 9 471
Hare Krishna Mohanta 273 0.9× 169 1.2× 53 0.5× 14 0.1× 27 0.4× 29 449
Zhijiang Lou 471 1.6× 266 1.8× 146 1.3× 116 1.2× 33 0.5× 28 537
Jia Kang 120 0.4× 130 0.9× 25 0.2× 15 0.2× 75 1.1× 53 606

Countries citing papers authored by Ricardo Rendall

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Rendall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Rendall

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