Johan Ferreira

82 total papers · 544 total citations
44 papers, 395 citations indexed

About

Johan Ferreira is a scholar working on Statistics and Probability, Artificial Intelligence and Aquatic Science. According to data from OpenAlex, Johan Ferreira has authored 44 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 6 papers in Aquatic Science. Recurrent topics in Johan Ferreira's work include Statistical Distribution Estimation and Applications (13 papers), Bayesian Methods and Mixture Models (8 papers) and Aquaculture disease management and microbiota (5 papers). Johan Ferreira is often cited by papers focused on Statistical Distribution Estimation and Applications (13 papers), Bayesian Methods and Mixture Models (8 papers) and Aquaculture disease management and microbiota (5 papers). Johan Ferreira collaborates with scholars based in South Africa, Iran and Italy. Johan Ferreira's co-authors include G. L. Smit, H. J. Schoonbee, J.H.J. Van Vuren, Andriëtte Bekker, F.H. van der Bank, J. Hattingh, W. Stewart Grant, Cedric W. Holzapfel, ‎M‎ohammad Arashi and Ding‐Geng Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Nutrients.

In The Last Decade

Johan Ferreira

39 papers receiving 329 citations

Author Peers

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

Author Last Decade Papers Cites
Johan Ferreira 201 112 101 101 89 44 395
Rafael Vilhena Reis Neto 256 1.3× 82 0.7× 144 1.4× 41 0.4× 47 0.5× 42 363
Volker Hilge 219 1.1× 85 0.8× 159 1.6× 137 1.4× 77 0.9× 35 403
M. Bercsényi 210 1.0× 85 0.8× 116 1.1× 186 1.8× 38 0.4× 29 369
Paolo Melotti 241 1.2× 91 0.8× 68 0.7× 118 1.2× 50 0.6× 42 368
Oleksandr Malinovskyi 277 1.4× 96 0.9× 122 1.2× 219 2.2× 34 0.4× 36 355
Joanna Grudniewska 157 0.8× 89 0.8× 87 0.9× 235 2.3× 42 0.5× 50 423
Miyuki Mekuchi 200 1.0× 94 0.8× 57 0.6× 102 1.0× 142 1.6× 26 365
Amin Golpour 214 1.1× 61 0.5× 154 1.5× 279 2.8× 66 0.7× 30 437
András Rónyai 276 1.4× 131 1.2× 125 1.2× 199 2.0× 31 0.3× 25 401
Luis Maria B. Garcia 312 1.6× 37 0.3× 166 1.6× 222 2.2× 69 0.8× 38 433

Countries citing papers authored by Johan Ferreira

Since Specialization
Citations

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

Fields of papers citing papers by Johan Ferreira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Ferreira

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