Sresta Valasa

43 total papers · 455 total citations
32 papers, 280 citations indexed

About

Sresta Valasa is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Sresta Valasa has authored 32 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 5 papers in Materials Chemistry and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Sresta Valasa's work include Semiconductor materials and devices (27 papers), Advancements in Semiconductor Devices and Circuit Design (24 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). Sresta Valasa is often cited by papers focused on Semiconductor materials and devices (27 papers), Advancements in Semiconductor Devices and Circuit Design (24 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). Sresta Valasa collaborates with scholars based in India and Switzerland. Sresta Valasa's co-authors include Shubham Tayal, Laxman Raju Thoutam, Narendar Vadthiya, J. Ajayan, Sandip Bhattacharya, Satish Maheshwaram, Biswajit Jena, Keshav Kaushik, Hitesh Borkar and Phanikrishna Thota and has published in prestigious journals such as Journal of Physics D Applied Physics, IEEE Transactions on Electron Devices and IEEE Transactions on Dielectrics and Electrical Insulation.

In The Last Decade

Sresta Valasa

28 papers receiving 244 citations

Author Peers

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

Author						Papers	Cites
Sresta Valasa	265	46	21	6	6	32	280
E. Hamdy	286 1.1×	28 0.6×	21 1.0×	9 1.5×	5 0.8×	34	305
D. Park	257 1.0×	31 0.7×	21 1.0×	11 1.8×	11 1.8×	20	278
M. Hiraki	230 0.9×	107 2.3×	15 0.7×	6 1.0×	6 1.0×	33	287
K. Koyama	257 1.0×	51 1.1×	17 0.8×	5 0.8×	2 0.3×	27	269
Chung-Hsun Lin	303 1.1×	28 0.6×	9 0.4×	14 2.3×	3 0.5×	26	321
S. Geißler	259 1.0×	17 0.4×	18 0.9×	8 1.3×	2 0.3×	20	275
Shubham Negi	261 1.0×	58 1.3×	53 2.5×	14 2.3×	4 0.7×	26	317
Wangyong Chen	257 1.0×	27 0.6×	43 2.0×	12 2.0×	2 0.3×	50	273
Young Suh Song	243 0.9×	35 0.8×	26 1.2×	10 1.7×	1 0.2×	28	253
Sandeep Miryala	151 0.6×	42 0.9×	54 2.6×	14 2.3×	7 1.2×	40	267

Countries citing papers authored by Sresta Valasa

Since Specialization

Citations

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

Fields of papers citing papers by Sresta Valasa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sresta Valasa

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