Preeti Makkar

25 total papers · 547 total citations
22 papers, 464 citations indexed

About

Preeti Makkar is a scholar working on Renewable Energy, Sustainability and the Environment, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Preeti Makkar has authored 22 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Renewable Energy, Sustainability and the Environment, 8 papers in Biomedical Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Preeti Makkar's work include Bone Tissue Engineering Materials (8 papers), Electrodeposition and Electroless Coatings (7 papers) and Electrocatalysts for Energy Conversion (7 papers). Preeti Makkar is often cited by papers focused on Bone Tissue Engineering Materials (8 papers), Electrodeposition and Electroless Coatings (7 papers) and Electrocatalysts for Energy Conversion (7 papers). Preeti Makkar collaborates with scholars based in South Korea, India and Mexico. Preeti Makkar's co-authors include Byong‐Taek Lee, Andrew Padalhin, Vijaya Agarwala, R. C. Agarwala, Kallyanashis Paul, Gun Hee Lee, Jhaleh Amirian, Swapan Kumar Sarkar, Gunhee Lee and Yong‐Sik Kim and has published in prestigious journals such as PLoS ONE, Journal of Materials Science and Applied Surface Science.

In The Last Decade

Preeti Makkar

21 papers receiving 459 citations

Author Peers

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

Author Last Decade Papers Cites
Preeti Makkar 226 210 172 87 83 22 464
Liwei Zhu 184 0.8× 247 1.2× 160 0.9× 68 0.8× 52 0.6× 22 535
Tibor Sopčák 128 0.6× 230 1.1× 149 0.9× 96 1.1× 74 0.9× 49 512
Judit Buxadera‐Palomero 129 0.6× 277 1.3× 151 0.9× 42 0.5× 66 0.8× 19 510
Davood Bizari 157 0.7× 255 1.2× 109 0.6× 43 0.5× 35 0.4× 19 452
Elnaz Tamjid 156 0.7× 304 1.4× 108 0.6× 30 0.3× 50 0.6× 18 467
Wenyi Zhang 222 1.0× 308 1.5× 75 0.4× 22 0.3× 47 0.6× 19 499
Cenk Aktas 82 0.4× 235 1.1× 84 0.5× 43 0.5× 38 0.5× 32 471
Guofu Xu 120 0.5× 174 0.8× 106 0.6× 151 1.7× 53 0.6× 11 429
Mehdi Ebrahimian-Hosseinabadi 198 0.9× 174 0.8× 104 0.6× 87 1.0× 66 0.8× 19 412
Etienne Laborde 106 0.5× 276 1.3× 154 0.9× 49 0.6× 114 1.4× 20 521

Countries citing papers authored by Preeti Makkar

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Makkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preeti Makkar

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