Agasthya Ayachit

73 total papers · 1.1k total citations
49 papers, 842 citations indexed

About

Agasthya Ayachit is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Agasthya Ayachit has authored 49 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Electrical and Electronic Engineering, 12 papers in Mechanical Engineering and 9 papers in Automotive Engineering. Recurrent topics in Agasthya Ayachit's work include Advanced DC-DC Converters (43 papers), Multilevel Inverters and Converters (20 papers) and Silicon Carbide Semiconductor Technologies (18 papers). Agasthya Ayachit is often cited by papers focused on Advanced DC-DC Converters (43 papers), Multilevel Inverters and Converters (20 papers) and Silicon Carbide Semiconductor Technologies (18 papers). Agasthya Ayachit collaborates with scholars based in United States, Italy and Japan. Agasthya Ayachit's co-authors include Marian K. Kazimierczuk, Alberto Reatti, Fabio Corti, Frede Blaabjerg, Yam P. Siwakoti, Veda Prakash Galigekere, Francesco Grasso, Maria Cristina Piccirilli, Dakshina Murthy‐Bellur and Saad Ul Hasan and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and Electronics Letters.

In The Last Decade

Agasthya Ayachit

48 papers receiving 819 citations

Author Peers

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

Author						Papers	Cites
Agasthya Ayachit	798	181	130	122	49	49	842
Michael G. Egan	958 1.2×	325 1.8×	123 0.9×	177 1.5×	79 1.6×	38	1.1k
Shuang Zhao	854 1.1×	137 0.8×	155 1.2×	153 1.3×	105 2.1×	80	925
Xiaofeng Lyu	919 1.2×	102 0.6×	82 0.6×	151 1.2×	29 0.6×	53	967
J.B. Klaassens	835 1.0×	172 1.0×	209 1.6×	265 2.2×	35 0.7×	64	950
Acácio M. R. Amaral	858 1.1×	240 1.3×	79 0.6×	142 1.2×	37 0.8×	53	938
Giulia Di Capua	650 0.8×	127 0.7×	184 1.4×	82 0.7×	88 1.8×	79	774
Jing‐Yuan Lin	785 1.0×	174 1.0×	91 0.7×	132 1.1×	36 0.7×	83	816
Wooyoung Choi	793 1.0×	110 0.6×	111 0.9×	302 2.5×	83 1.7×	40	845
Chi‐Kong Wong	781 1.0×	102 0.6×	248 1.9×	311 2.5×	59 1.2×	76	1.0k
M. Deepak	573 0.7×	173 1.0×	102 0.8×	341 2.8×	37 0.8×	62	743

Countries citing papers authored by Agasthya Ayachit

Since Specialization

Citations

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

Fields of papers citing papers by Agasthya Ayachit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agasthya Ayachit

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