Ankit Nalin Mehta

72 total papers · 1.7k total citations
56 papers, 1.3k citations indexed

About

Ankit Nalin Mehta is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Ankit Nalin Mehta has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 29 papers in Materials Chemistry and 11 papers in Biomedical Engineering. Recurrent topics in Ankit Nalin Mehta's work include 2D Materials and Applications (25 papers), MXene and MAX Phase Materials (17 papers) and Graphene research and applications (12 papers). Ankit Nalin Mehta is often cited by papers focused on 2D Materials and Applications (25 papers), MXene and MAX Phase Materials (17 papers) and Graphene research and applications (12 papers). Ankit Nalin Mehta collaborates with scholars based in Belgium, Canada and Germany. Ankit Nalin Mehta's co-authors include Ann Witvrouw, Youmin Zhang, Iman Sadeghzadeh, Matty Caymax, Iuliana Radu, Wilfried Vandervorst, Marc Heyns, Annelies Delabie, Benjamin Groven and H. Bender and has published in prestigious journals such as The Journal of Chemical Physics, ACS Nano and Applied Physics Letters.

In The Last Decade

Ankit Nalin Mehta

51 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Ankit Nalin Mehta 910 575 307 162 150 56 1.3k
B. Liu 554 0.6× 475 0.8× 289 0.9× 195 1.2× 182 1.2× 73 1.2k
Raju R. Namburu 607 0.7× 249 0.4× 440 1.4× 81 0.5× 57 0.4× 74 1.2k
Roland Weiß 325 0.4× 1.0k 1.8× 145 0.5× 131 0.8× 322 2.1× 88 1.6k
Huan Yuan 407 0.4× 840 1.5× 95 0.3× 118 0.7× 83 0.6× 79 1.2k
Xiaoyu Chu 671 0.7× 247 0.4× 627 2.0× 44 0.3× 53 0.4× 49 1.2k
Yintang Yang 685 0.8× 425 0.7× 98 0.3× 41 0.3× 184 1.2× 92 1.1k
M. Rencz 300 0.3× 1.4k 2.4× 95 0.3× 57 0.4× 112 0.7× 168 1.8k
Eugene J. Rymaszewski 375 0.4× 1.3k 2.3× 243 0.8× 25 0.2× 82 0.5× 32 1.7k
Danyang Zhu 285 0.3× 374 0.7× 562 1.8× 45 0.3× 118 0.8× 72 1.6k
João P. A. Bastos 485 0.5× 1.2k 2.1× 60 0.2× 155 1.0× 73 0.5× 69 1.4k

Countries citing papers authored by Ankit Nalin Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Nalin Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ankit Nalin Mehta. 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 Ankit Nalin Mehta. The network helps show where Ankit Nalin Mehta may publish in the future.

Co-authorship network of co-authors of Ankit Nalin Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Nalin Mehta. A scholar is included among the top collaborators of Ankit Nalin Mehta 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 Ankit Nalin Mehta. Ankit Nalin Mehta 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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