Deepa Thakur

51 total papers · 687 total citations
38 papers, 512 citations indexed

About

Deepa Thakur is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Deepa Thakur has authored 38 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 10 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Deepa Thakur's work include 2D Materials and Applications (18 papers), MXene and MAX Phase Materials (8 papers) and Graphene research and applications (6 papers). Deepa Thakur is often cited by papers focused on 2D Materials and Applications (18 papers), MXene and MAX Phase Materials (8 papers) and Graphene research and applications (6 papers). Deepa Thakur collaborates with scholars based in India, United States and Japan. Deepa Thakur's co-authors include Viswanath Balakrishnan, Tapan Kumar Giri, Durgesh Kumar Tripathi, M. Ajazuddin, Moolchand Sharma, Pawan Kumar, Hemant Badwaik, R. Ranjith, Amit Alexander and Mukesh Singh and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Functional Materials and Carbon.

In The Last Decade

Deepa Thakur

34 papers receiving 484 citations

Author Peers

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

Author Last Decade Papers Cites
Deepa Thakur 186 146 114 72 66 38 512
Ioana Cătălina Gîfu 152 0.8× 112 0.8× 64 0.6× 51 0.7× 65 1.0× 44 499
Violeta Popescu 175 0.9× 106 0.7× 94 0.8× 67 0.9× 115 1.7× 54 617
Arshad Mahmood 213 1.1× 111 0.8× 192 1.7× 44 0.6× 67 1.0× 43 613
Idglan S. de Lima 189 1.0× 117 0.8× 56 0.5× 85 1.2× 124 1.9× 33 523
Qingqing Dai 192 1.0× 152 1.0× 220 1.9× 89 1.2× 24 0.4× 23 539
Saba Urooge Khan 182 1.0× 93 0.6× 127 1.1× 130 1.8× 49 0.7× 25 524
Helmiyati Helmiyati 120 0.6× 204 1.4× 40 0.4× 58 0.8× 85 1.3× 34 563
Iram Bibi 196 1.1× 101 0.7× 83 0.7× 40 0.6× 76 1.2× 40 567
Farshad Kheiri 123 0.7× 115 0.8× 175 1.5× 106 1.5× 36 0.5× 37 600
Syed Zohaib Javaid Zaidi 168 0.9× 207 1.4× 65 0.6× 28 0.4× 65 1.0× 26 585

Countries citing papers authored by Deepa Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Thakur

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