D.C. Sau

31 total papers · 451 total citations
21 papers, 373 citations indexed

About

D.C. Sau is a scholar working on Mechanical Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, D.C. Sau has authored 21 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 10 papers in Computational Mechanics and 5 papers in Biomedical Engineering. Recurrent topics in D.C. Sau's work include Granular flow and fluidized beds (8 papers), Cyclone Separators and Fluid Dynamics (8 papers) and Mineral Processing and Grinding (7 papers). D.C. Sau is often cited by papers focused on Granular flow and fluidized beds (8 papers), Cyclone Separators and Fluid Dynamics (8 papers) and Mineral Processing and Grinding (7 papers). D.C. Sau collaborates with scholars based in India, Germany and Canada. D.C. Sau's co-authors include Kishore Chandra Biswal, S. Mohanty, Sanchita Chakravarty, T R Mankhand, Manoj Kumar, Archana Agrawal, Abhishek Dutt Tripathi, Navneet Singh Randhawa, Harekrushna Sutar and Dibya Ranjan Rout and has published in prestigious journals such as Chemical Engineering Journal, Powder Technology and Environmental Chemistry Letters.

In The Last Decade

D.C. Sau

20 papers receiving 364 citations

Author Peers

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

Author Last Decade Papers Cites
D.C. Sau 205 189 110 74 62 21 373
Shengrong Liang 147 0.7× 114 0.6× 184 1.7× 42 0.6× 37 0.6× 15 360
Jocelyn Doucet 200 1.0× 189 1.0× 110 1.0× 51 0.7× 43 0.7× 15 431
Rodrigo J.G. Lopes 219 1.1× 74 0.4× 95 0.9× 50 0.7× 20 0.3× 27 387
Peijun Jiang 244 1.2× 142 0.8× 117 1.1× 79 1.1× 15 0.2× 23 434
Abdolrasoul Pouranfard 64 0.3× 138 0.7× 183 1.7× 74 1.0× 19 0.3× 18 395
Marek Večeř 89 0.4× 130 0.7× 228 2.1× 31 0.4× 32 0.5× 29 376
Arsalan Parvareh 93 0.5× 112 0.6× 146 1.3× 26 0.4× 13 0.2× 25 341
Ligang Tang 251 1.2× 281 1.5× 99 0.9× 58 0.8× 23 0.4× 25 431
Patrick Legentilhomme 84 0.4× 75 0.4× 143 1.3× 48 0.6× 11 0.2× 19 356
Tokihiro Kago 142 0.7× 137 0.7× 198 1.8× 39 0.5× 72 1.2× 22 366

Countries citing papers authored by D.C. Sau

Since Specialization
Citations

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

Fields of papers citing papers by D.C. Sau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.C. Sau. 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 D.C. Sau. The network helps show where D.C. Sau may publish in the future.

Co-authorship network of co-authors of D.C. Sau

This figure shows the co-authorship network connecting the top 25 collaborators of D.C. Sau. A scholar is included among the top collaborators of D.C. Sau 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 D.C. Sau. D.C. Sau 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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