Subhali Subhechha

60 total papers · 737 total citations
33 papers, 293 citations indexed

About

Subhali Subhechha is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Subhali Subhechha has authored 33 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 8 papers in Materials Chemistry and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Subhali Subhechha's work include Semiconductor materials and devices (18 papers), Advanced Memory and Neural Computing (17 papers) and Thin-Film Transistor Technologies (14 papers). Subhali Subhechha is often cited by papers focused on Semiconductor materials and devices (18 papers), Advanced Memory and Neural Computing (17 papers) and Thin-Film Transistor Technologies (14 papers). Subhali Subhechha collaborates with scholars based in Belgium, Italy and Singapore. Subhali Subhechha's co-authors include Gouri Sankar Kar, Romain Delhougne, Nouredine Rassoul, Attilio Belmonte, H.F.W. Dekkers, Adrian Chasin, Michiel J. van Setten, Jan Van Houdt, Sergiu Clima and K. De Meyer and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Subhali Subhechha

26 papers receiving 286 citations

Author Peers

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

Author						Papers	Cites
Subhali Subhechha	276	82	27	26	16	33	293
Sung Jin Yang	243 0.9×	143 1.7×	49 1.8×	25 1.0×	25 1.6×	19	305
Kaiyuan Wang	234 0.8×	98 1.2×	13 0.5×	70 2.7×	14 0.9×	55	279
Hyeonmuk Kang	333 1.2×	89 1.1×	41 1.5×	33 1.3×	23 1.4×	29	366
Jiahui Zheng	239 0.9×	78 1.0×	71 2.6×	15 0.6×	38 2.4×	29	333
Shaoan Yan	260 0.9×	169 2.1×	30 1.1×	27 1.0×	19 1.2×	48	333
Pierre Schmidt	267 1.0×	57 0.7×	24 0.9×	25 1.0×	8 0.5×	41	303
Xiaolin Wang	314 1.1×	84 1.0×	24 0.9×	6 0.2×	7 0.4×	47	347
V. Fischer	168 0.6×	62 0.8×	25 0.9×	40 1.5×	5 0.3×	29	287
Hongsik Jeong	284 1.0×	111 1.4×	26 1.0×	49 1.9×	39 2.4×	47	321
Shuimei Ding	173 0.6×	155 1.9×	38 1.4×	17 0.7×	10 0.6×	17	256

Countries citing papers authored by Subhali Subhechha

Since Specialization

Citations

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

Fields of papers citing papers by Subhali Subhechha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhali Subhechha

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