Daniel de Oliveira

87 total papers · 433 total citations
52 papers, 316 citations indexed

About

Daniel de Oliveira is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Daniel de Oliveira has authored 52 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Geophysics, 16 papers in Artificial Intelligence and 15 papers in Geochemistry and Petrology. Recurrent topics in Daniel de Oliveira's work include Geological and Geochemical Analysis (20 papers), Geochemistry and Geologic Mapping (16 papers) and Geological and Geophysical Studies Worldwide (14 papers). Daniel de Oliveira is often cited by papers focused on Geological and Geochemical Analysis (20 papers), Geochemistry and Geologic Mapping (16 papers) and Geological and Geophysical Studies Worldwide (14 papers). Daniel de Oliveira collaborates with scholars based in Portugal, Spain and Denmark. Daniel de Oliveira's co-authors include João Xavier Matos, Teresa Silva, Diogo Rosa, Maria João Batista, M. O. Figueiredo, João Pedro Veiga, R. Grant Cawthorn, Carlos Inverno, Maria Letizia Ruello and Mihaela Gǐrtan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geoderma and Materials.

In The Last Decade

Daniel de Oliveira

48 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel de Oliveira 143 92 60 52 50 52 316
Evangelos Tzamos 123 0.9× 55 0.6× 78 1.3× 57 1.1× 41 0.8× 40 321
Glenn Poirier 174 1.2× 66 0.7× 74 1.2× 19 0.4× 48 1.0× 46 334
Jan Sverre Sandstad 180 1.3× 110 1.2× 56 0.9× 51 1.0× 30 0.6× 17 288
Miłosz Huber 99 0.7× 68 0.7× 35 0.6× 27 0.5× 19 0.4× 50 312
Ricardo Castroviejo 139 1.0× 151 1.6× 37 0.6× 101 1.9× 46 0.9× 31 320
Francesco Putzolu 139 1.0× 94 1.0× 148 2.5× 79 1.5× 29 0.6× 23 286
Da Wang 196 1.4× 182 2.0× 85 1.4× 49 0.9× 31 0.6× 33 353
R.A. Kühnel 80 0.6× 79 0.9× 62 1.0× 28 0.5× 13 0.3× 19 340
David Parcerisa Duocastella 139 1.0× 51 0.6× 51 0.8× 54 1.0× 30 0.6× 38 350
Richard D. Hagni 182 1.3× 130 1.4× 67 1.1× 65 1.3× 54 1.1× 44 308

Countries citing papers authored by Daniel de Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Daniel de Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel de Oliveira. 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 Daniel de Oliveira. The network helps show where Daniel de Oliveira may publish in the future.

Co-authorship network of co-authors of Daniel de Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel de Oliveira. A scholar is included among the top collaborators of Daniel de Oliveira 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 Daniel de Oliveira. Daniel de Oliveira 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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