Gabriel Ciobanu

380 total papers · 2.2k total citations
164 papers, 822 citations indexed

About

Gabriel Ciobanu is a scholar working on Computational Theory and Mathematics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Gabriel Ciobanu has authored 164 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computational Theory and Mathematics, 81 papers in Molecular Biology and 49 papers in Artificial Intelligence. Recurrent topics in Gabriel Ciobanu's work include DNA and Biological Computing (80 papers), Modular Robots and Swarm Intelligence (44 papers) and Advanced biosensing and bioanalysis techniques (31 papers). Gabriel Ciobanu is often cited by papers focused on DNA and Biological Computing (80 papers), Modular Robots and Swarm Intelligence (44 papers) and Advanced biosensing and bioanalysis techniques (31 papers). Gabriel Ciobanu collaborates with scholars based in Romania, Singapore and United Kingdom. Gabriel Ciobanu's co-authors include Bogdan Aman, Gheorghe Pǎun, Mario J. Pérez-Jímenez, Dorel Lucanu, Mihai Rotaru, Linqiang Pan, Grzegorz Rozenberg, Maciej Koutny, Shankara Narayanan Krishna and Sungchul Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Gabriel Ciobanu

142 papers receiving 782 citations

Author Peers

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

Author Last Decade Papers Cites
Gabriel Ciobanu 521 406 269 218 93 164 822
A. Salomaa 241 0.5× 624 1.5× 35 0.1× 561 2.6× 110 1.2× 60 959
Michael J. Dinneen 132 0.3× 412 1.0× 51 0.2× 359 1.6× 178 1.9× 80 789
Jürgen Dassow 872 1.7× 711 1.8× 282 1.0× 531 2.4× 25 0.3× 121 1.1k
Emanuela Merelli 364 0.7× 181 0.4× 22 0.1× 234 1.1× 154 1.7× 106 961
Daniel Mange 311 0.6× 329 0.8× 340 1.3× 490 2.2× 65 0.7× 60 846
Jack H. Lutz 123 0.2× 869 2.1× 71 0.3× 466 2.1× 22 0.2× 87 989
André Stauffer 281 0.5× 312 0.8× 310 1.2× 437 2.0× 70 0.8× 57 813
Jozef Gruska 215 0.4× 567 1.4× 27 0.1× 682 3.1× 46 0.5× 62 980
D. Wood 171 0.3× 350 0.9× 24 0.1× 353 1.6× 171 1.8× 88 996
E.P. de Vink 197 0.4× 373 0.9× 11 0.0× 429 2.0× 133 1.4× 69 841

Countries citing papers authored by Gabriel Ciobanu

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Ciobanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Ciobanu

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