Rajeev K. Thakur

12 total papers · 862 total citations
12 papers, 685 citations indexed

About

Rajeev K. Thakur is a scholar working on Food Science, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Rajeev K. Thakur has authored 12 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Food Science, 7 papers in Materials Chemistry and 6 papers in Biomedical Engineering. Recurrent topics in Rajeev K. Thakur's work include Pickering emulsions and particle stabilization (7 papers), Fluid Dynamics and Mixing (6 papers) and Proteins in Food Systems (6 papers). Rajeev K. Thakur is often cited by papers focused on Pickering emulsions and particle stabilization (7 papers), Fluid Dynamics and Mixing (6 papers) and Proteins in Food Systems (6 papers). Rajeev K. Thakur collaborates with scholars based in France, Morocco and United States. Rajeev K. Thakur's co-authors include Gholamreza Djelveh, Christophe Vial, E. Bruce Nauman, K.D.P. Nigam, Guillaume Delaplace, Mohsen Labbafi, Christophe André, Laurent Bouvier, C. Villette and Jean‐Marie Aubry and has published in prestigious journals such as Chemical Engineering Science, Journal of Food Engineering and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Rajeev K. Thakur

12 papers receiving 662 citations

Author Peers

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

Author Last Decade Papers Cites
Rajeev K. Thakur 354 216 151 139 119 12 685
Yogesh M. Harshe 338 1.0× 194 0.9× 132 0.9× 112 0.8× 58 0.5× 26 719
Norio Ouchiyama 99 0.3× 317 1.5× 179 1.2× 191 1.4× 88 0.7× 18 601
Vincent Mansard 162 0.5× 159 0.7× 83 0.5× 264 1.9× 146 1.2× 18 591
Ann S. Yoshimura 185 0.5× 199 0.9× 159 1.1× 114 0.8× 372 3.1× 12 706
P.T. Robbins 265 0.7× 118 0.5× 163 1.1× 41 0.3× 48 0.4× 32 718
Z. Kembłowski 182 0.5× 191 0.9× 96 0.6× 28 0.2× 256 2.2× 22 595
Albert Magnin 108 0.3× 86 0.4× 91 0.6× 213 1.5× 174 1.5× 17 727
Xavier Frank 243 0.7× 350 1.6× 81 0.5× 69 0.5× 78 0.7× 33 644
Seval Genç 284 0.8× 101 0.5× 94 0.6× 105 0.8× 31 0.3× 21 686
Victor A. Atiemo‐Obeng 354 1.0× 223 1.0× 134 0.9× 48 0.3× 68 0.6× 4 574

Countries citing papers authored by Rajeev K. Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev K. Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajeev K. Thakur. 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 Rajeev K. Thakur. The network helps show where Rajeev K. Thakur may publish in the future.

Co-authorship network of co-authors of Rajeev K. Thakur

This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev K. Thakur. A scholar is included among the top collaborators of Rajeev K. Thakur 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 Rajeev K. Thakur. Rajeev K. Thakur 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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