Eva A. Dias

19 total papers · 1.3k total citations
12 papers, 1.1k citations indexed

About

Eva A. Dias is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Eva A. Dias has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Materials Chemistry and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Eva A. Dias's work include Chalcogenide Semiconductor Thin Films (10 papers), Quantum Dots Synthesis And Properties (10 papers) and Semiconductor Quantum Structures and Devices (4 papers). Eva A. Dias is often cited by papers focused on Chalcogenide Semiconductor Thin Films (10 papers), Quantum Dots Synthesis And Properties (10 papers) and Semiconductor Quantum Structures and Devices (4 papers). Eva A. Dias collaborates with scholars based in Canada, United States and Portugal. Eva A. Dias's co-authors include Patanjali Kambhampati, Samuel L. Sewall, Ryan R. Cooney, Kevin E. H. Anderson, D. M. Sagar, Mirela M. Barsan, Ian S. Butler, Pooja Tyagi, Jonathan I. Saari and Danielle Reifsnyder Hickey and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

Eva A. Dias

12 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Eva A. Dias 1.1k 964 394 103 84 12 1.1k
Samuel L. Sewall 1.3k 1.2× 1.2k 1.3× 551 1.4× 129 1.3× 120 1.4× 16 1.5k
Malcolm G. Thomas 601 0.6× 797 0.8× 392 1.0× 95 0.9× 103 1.2× 12 1.2k
Jordan Snaider 873 0.8× 1.0k 1.1× 196 0.5× 96 0.9× 77 0.9× 11 1.2k
Óscar Paz 685 0.6× 442 0.5× 399 1.0× 106 1.0× 138 1.6× 9 1.1k
Mengfei Wu 1.1k 1.0× 1.0k 1.1× 265 0.7× 163 1.6× 273 3.3× 18 1.4k
Kheng Swee Leck 788 0.7× 847 0.9× 187 0.5× 91 0.9× 93 1.1× 17 1.1k
João M. Pina 1.1k 1.0× 1.2k 1.2× 241 0.6× 138 1.3× 186 2.2× 26 1.4k
Søren Smidstrup 643 0.6× 380 0.4× 263 0.7× 92 0.9× 88 1.0× 18 962
G. Nunes 919 0.9× 1.1k 1.1× 274 0.7× 239 2.3× 214 2.5× 21 1.5k
Kıvanç Güngör 935 0.9× 807 0.8× 160 0.4× 98 1.0× 162 1.9× 28 1.1k

Countries citing papers authored by Eva A. Dias

Since Specialization
Citations

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

Fields of papers citing papers by Eva A. Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva A. Dias

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