Neha Sharma

436 total papers · 4.5k total citations
206 papers, 3.0k citations indexed

About

Neha Sharma is a scholar working on Plant Science, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Neha Sharma has authored 206 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 42 papers in Materials Chemistry and 24 papers in Electrical and Electronic Engineering. Recurrent topics in Neha Sharma's work include Phase-change materials and chalcogenides (22 papers), Glass properties and applications (13 papers) and Chalcogenide Semiconductor Thin Films (13 papers). Neha Sharma is often cited by papers focused on Phase-change materials and chalcogenides (22 papers), Glass properties and applications (13 papers) and Chalcogenide Semiconductor Thin Films (13 papers). Neha Sharma collaborates with scholars based in India, Saudi Arabia and United States. Neha Sharma's co-authors include Sunil Kamboj, Suman Bala, Anu Kajal, Vipin Saini, Vineet Sharma, Sunanda Sharda, Pankaj Sharma, Vinay Kumar, Sanjeev Kumar and Subhrangsu Sundar Maitra and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Bioresource Technology.

In The Last Decade

Neha Sharma

183 papers receiving 2.9k citations

Author Peers

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

Author Last Decade Papers Cites
Neha Sharma 944 524 484 419 395 206 3.0k
Vishal Sharma 1.5k 1.6× 611 1.2× 722 1.5× 564 1.3× 492 1.2× 231 5.1k
Sajid Bashir 779 0.8× 196 0.4× 382 0.8× 446 1.1× 284 0.7× 162 3.1k
Syed Zajif Hussain 1.3k 1.4× 343 0.7× 774 1.6× 446 1.1× 389 1.0× 137 3.9k
Ejaz Ahmed 856 0.9× 738 1.4× 358 0.7× 306 0.7× 388 1.0× 136 2.7k
Tânia Maria Haas Costa 1.1k 1.1× 369 0.7× 518 1.1× 622 1.5× 426 1.1× 150 4.1k
Piotr Tomasik 657 0.7× 625 1.2× 458 0.9× 706 1.7× 642 1.6× 253 5.0k
Antônio G. Souza 964 1.0× 573 1.1× 959 2.0× 309 0.7× 182 0.5× 135 3.1k
Xiangli Liu 724 0.8× 297 0.6× 713 1.5× 564 1.3× 372 0.9× 145 3.7k
Rui W. M. Krause 1.3k 1.4× 694 1.3× 778 1.6× 487 1.2× 405 1.0× 190 4.2k
Man Singh 976 1.0× 1.1k 2.1× 620 1.3× 204 0.5× 292 0.7× 241 3.5k

Countries citing papers authored by Neha Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Neha Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Sharma

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