Dana Grecov

103 total papers · 1.4k total citations
74 papers, 1.1k citations indexed

About

Dana Grecov is a scholar working on Computational Mechanics, Mechanical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Dana Grecov has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 22 papers in Mechanical Engineering and 19 papers in Fluid Flow and Transfer Processes. Recurrent topics in Dana Grecov's work include Rheology and Fluid Dynamics Studies (19 papers), Liquid Crystal Research Advancements (18 papers) and Granular flow and fluidized beds (11 papers). Dana Grecov is often cited by papers focused on Rheology and Fluid Dynamics Studies (19 papers), Liquid Crystal Research Advancements (18 papers) and Granular flow and fluidized beds (11 papers). Dana Grecov collaborates with scholars based in Canada, France and China. Dana Grecov's co-authors include M. Salcudean, Konstantin Pougatch, Alejandro D. Rey, Tingwen Li, Ezra Kwok, Jayachandran N. Kizhakkedathu, Kai Yu, J.M. Beér, Norman Chigier and Mahmoud Ansari and has published in prestigious journals such as Nature Materials, Biomaterials and Carbon.

In The Last Decade

Dana Grecov

72 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
Dana Grecov 368 296 205 193 149 74 1.1k
Göran Frenning 339 0.9× 379 1.3× 220 1.1× 48 0.2× 136 0.9× 92 1.5k
Lisa Prahl Wittberg 289 0.8× 138 0.5× 452 2.2× 102 0.5× 365 2.4× 62 1.2k
Petr Filip 164 0.4× 285 1.0× 424 2.1× 45 0.2× 140 0.9× 91 1.4k
Stephen E. Bechtel 341 0.9× 203 0.7× 200 1.0× 45 0.2× 44 0.3× 64 1.0k
Yidan Zhang 118 0.3× 165 0.6× 283 1.4× 83 0.4× 72 0.5× 38 926
Qingxiang Wang 484 1.3× 178 0.6× 598 2.9× 150 0.8× 67 0.4× 51 930
Luyao Bao 223 0.6× 313 1.1× 285 1.4× 50 0.3× 89 0.6× 61 1.0k
Prashant R. Waghmare 326 0.9× 122 0.4× 361 1.8× 82 0.4× 59 0.4× 63 1.1k
Francisco J. Galindo‐Rosales 316 0.9× 254 0.9× 522 2.5× 101 0.5× 44 0.3× 58 1.4k
Corneliu Bălan 237 0.6× 329 1.1× 245 1.2× 84 0.4× 35 0.2× 96 1.2k

Countries citing papers authored by Dana Grecov

Since Specialization
Citations

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

Fields of papers citing papers by Dana Grecov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Grecov

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