Arunima Sharma

48 total papers · 903 total citations
28 papers, 692 citations indexed

About

Arunima Sharma is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Arunima Sharma has authored 28 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 16 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Mechanics of Materials. Recurrent topics in Arunima Sharma's work include Photoacoustic and Ultrasonic Imaging (24 papers), Thermography and Photoacoustic Techniques (15 papers) and Nanoplatforms for cancer theranostics (9 papers). Arunima Sharma is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (24 papers), Thermography and Photoacoustic Techniques (15 papers) and Nanoplatforms for cancer theranostics (9 papers). Arunima Sharma collaborates with scholars based in Singapore, United States and China. Arunima Sharma's co-authors include Manojit Pramanik, Praveenbalaji Rajendran, Chen Xie, Jiaguo Huang, Paul Kumar Upputuri, Ziling Zeng, Yuyan Jiang, Zhen Xu, Kanyi Pu and Jing Li and has published in prestigious journals such as Advanced Materials, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Arunima Sharma

24 papers receiving 678 citations

Hit Papers

Metabolizable Semiconduct... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Arunima Sharma 621 193 186 144 78 28 692
Chen Zhang 427 0.7× 91 0.5× 86 0.5× 194 1.3× 109 1.4× 42 618
Wenxin Xing 525 0.8× 172 0.9× 167 0.9× 194 1.3× 114 1.5× 15 793
Janggun Jo 481 0.8× 168 0.9× 132 0.7× 71 0.5× 72 0.9× 32 569
Yanxiu Li 500 0.8× 177 0.9× 84 0.5× 73 0.5× 165 2.1× 38 758
Congxian Jia 545 0.9× 259 1.3× 109 0.6× 144 1.0× 86 1.1× 30 764
Ben Y. C. Leung 626 1.0× 99 0.5× 47 0.3× 225 1.6× 78 1.0× 23 723
Markus Seeger 494 0.8× 155 0.8× 198 1.1× 45 0.3× 68 0.9× 32 776
Pai-Chi Li 387 0.6× 171 0.9× 146 0.8× 119 0.8× 131 1.7× 25 615
Shriram Sethuraman 674 1.1× 329 1.7× 213 1.1× 21 0.1× 83 1.1× 30 770
A. Needles 658 1.1× 403 2.1× 68 0.4× 108 0.8× 58 0.7× 24 754

Countries citing papers authored by Arunima Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Arunima Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arunima Sharma

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