Ankur Sharma

36 total papers · 642 total citations
21 papers, 496 citations indexed

About

Ankur Sharma is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Ankur Sharma has authored 21 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 10 papers in Materials Chemistry and 4 papers in Mechanical Engineering. Recurrent topics in Ankur Sharma's work include 2D Materials and Applications (8 papers), Graphene research and applications (5 papers) and Perovskite Materials and Applications (5 papers). Ankur Sharma is often cited by papers focused on 2D Materials and Applications (8 papers), Graphene research and applications (5 papers) and Perovskite Materials and Applications (5 papers). Ankur Sharma collaborates with scholars based in Australia, China and India. Ankur Sharma's co-authors include Yuerui Lu, Linglong Zhang, Boqing Liu, Yi Zhu, Xueqian Sun, Prashant Shenoy, Zhichuan Huang, Ting Zhu, Daniel Sadoc Menasché and Aditya Mishra and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Letters.

In The Last Decade

Ankur Sharma

20 papers receiving 485 citations

Author Peers

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

Author						Papers	Cites
Ankur Sharma	316	300	80	59	55	21	496
Guan-Hong Chen	147 0.5×	361 1.2×	53 0.7×	54 0.9×	20 0.4×	33	468
Jiawen Lu	143 0.5×	223 0.7×	37 0.5×	60 1.0×	28 0.5×	21	441
Mohsen Mardani	188 0.6×	187 0.6×	27 0.3×	62 1.1×	26 0.5×	33	508
Ming‐Fa Tsai	237 0.8×	420 1.4×	63 0.8×	33 0.6×	86 1.6×	43	536
Sung-Hwan Hwang	82 0.3×	369 1.2×	51 0.6×	108 1.8×	66 1.2×	28	499
Jeffrey Yang	241 0.8×	218 0.7×	69 0.9×	45 0.8×	58 1.1×	27	461
Han Liu	198 0.6×	447 1.5×	68 0.8×	58 1.0×	20 0.4×	50	518
Liya Lv	275 0.9×	147 0.5×	42 0.5×	33 0.6×	21 0.4×	23	469
Carlos A. Hernández‐Gutiérrez	168 0.5×	272 0.9×	67 0.8×	79 1.3×	18 0.3×	33	445
Ching‐Hsiang Hsu	168 0.5×	215 0.7×	82 1.0×	56 0.9×	31 0.6×	42	465

Countries citing papers authored by Ankur Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Ankur Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Sharma

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