Ramesh Chand

36 total papers · 936 total citations
31 papers, 755 citations indexed

About

Ramesh Chand is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Ramesh Chand has authored 31 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 23 papers in Biomedical Engineering and 6 papers in Mechanical Engineering. Recurrent topics in Ramesh Chand's work include Nanofluid Flow and Heat Transfer (19 papers), Fluid Dynamics and Turbulent Flows (16 papers) and Fluid Dynamics and Thin Films (8 papers). Ramesh Chand is often cited by papers focused on Nanofluid Flow and Heat Transfer (19 papers), Fluid Dynamics and Turbulent Flows (16 papers) and Fluid Dynamics and Thin Films (8 papers). Ramesh Chand collaborates with scholars based in India, South Korea and Pakistan. Ramesh Chand's co-authors include Geeta Rana, Sanjay Upadhyay, Dan Bahadur Pal, P.K. Mishra, Dhananjay Yadav, Sanjeev Kumar, Vipin Saini, Vijay Kumar Thakur, Adesh K. Saini and Harjot Kaur and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and International Journal of Heat and Mass Transfer.

In The Last Decade

Ramesh Chand

28 papers receiving 723 citations

Author Peers

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

Author						Papers	Cites
Ramesh Chand	410	328	222	221	180	31	755
Titan C. Paul	411 1.0×	188 0.6×	73 0.3×	422 1.9×	157 0.9×	50	764
Lei Chen	580 1.4×	49 0.1×	184 0.8×	293 1.3×	69 0.4×	51	808
Nimeti Döner	441 1.1×	147 0.4×	190 0.9×	334 1.5×	73 0.4×	37	747
Sattar Ghader	410 1.0×	44 0.1×	265 1.2×	241 1.1×	313 1.7×	50	800
Naseem Irfan	110 0.3×	119 0.4×	329 1.5×	203 0.9×	116 0.6×	37	657
Ma'moun Al‐Rawashdeh	400 1.0×	112 0.3×	208 0.9×	204 0.9×	121 0.7×	40	805
Isabelle Pitault	329 0.8×	100 0.3×	309 1.4×	354 1.6×	156 0.9×	48	825
Ignacio Julián	164 0.4×	110 0.3×	334 1.5×	195 0.9×	314 1.7×	33	697
Patrice Perreault	254 0.6×	166 0.5×	320 1.4×	172 0.8×	153 0.8×	35	905
Jingdai Wang	273 0.7×	336 1.0×	112 0.5×	285 1.3×	46 0.3×	58	757

Countries citing papers authored by Ramesh Chand

Since Specialization

Citations

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

Fields of papers citing papers by Ramesh Chand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Chand

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