Sumit Vyas

541 total citations
20 papers, 415 citations indexed

About

Sumit Vyas is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Sumit Vyas has authored 20 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 11 papers in Electrical and Electronic Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Sumit Vyas's work include ZnO doping and properties (11 papers), Gas Sensing Nanomaterials and Sensors (6 papers) and Copper-based nanomaterials and applications (4 papers). Sumit Vyas is often cited by papers focused on ZnO doping and properties (11 papers), Gas Sensing Nanomaterials and Sensors (6 papers) and Copper-based nanomaterials and applications (4 papers). Sumit Vyas collaborates with scholars based in India, South Korea and United States. Sumit Vyas's co-authors include P. Chakrabarti, C. Periasamy, Shashi Kant Sharma, Shubham Kumar, Arun Dev Dhar Dwivedi, Pushpa Giri, Hemant Kumar, Yogesh Kumar, Si‐Hyun Park and Satyabrata Jit and has published in prestigious journals such as Polymer Engineering and Science, Journal of Electronic Materials and Vacuum.

In The Last Decade

Sumit Vyas

19 papers receiving 397 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sumit Vyas India	10	308	273	104	56	39	20	415
Jiu‐Zhen Wang China	8	312 1.0×	262 1.0×	120 1.2×	137 2.4×	56 1.4×	9	429
Seid Jebril Germany	9	221 0.7×	177 0.6×	74 0.7×	126 2.3×	43 1.1×	10	363
Haining Chong China	10	213 0.7×	190 0.7×	136 1.3×	104 1.9×	42 1.1×	16	340
Junru An China	9	272 0.9×	248 0.9×	48 0.5×	88 1.6×	29 0.7×	19	417
R. Samnakay United States	8	427 1.4×	315 1.2×	61 0.6×	83 1.5×	41 1.1×	10	530
Baohua Zhang China	12	214 0.7×	281 1.0×	67 0.6×	133 2.4×	28 0.7×	30	410
Mohammad Suja United States	9	339 1.1×	213 0.8×	130 1.3×	74 1.3×	21 0.5×	13	414
Rong Song China	10	300 1.0×	229 0.8×	123 1.2×	68 1.2×	18 0.5×	16	470
Nima Sefidmooye Azar Australia	10	372 1.2×	289 1.1×	72 0.7×	152 2.7×	34 0.9×	12	479
Xing‐Yuan Zhao China	7	379 1.2×	355 1.3×	108 1.0×	76 1.4×	31 0.8×	7	471

Countries citing papers authored by Sumit Vyas

Since Specialization

Citations

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

Fields of papers citing papers by Sumit Vyas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Vyas

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Vyas. A scholar is included among the top collaborators of Sumit Vyas 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 Sumit Vyas. Sumit Vyas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Vyas, Sumit, et al.. (2024). Optimized convolutional neural network for land cover classification via improved lion algorithm. Transactions in GIS. 28(4). 769–789.

Vyas, Sumit, et al.. (2022). Feature Extraction Based Deep Indexing by Deep Fuzzy Clustering for Image Retrieval Using Jaro Winkler Distance. The Computer Journal. 66(9). 2191–2207. 7 indexed citations

Kanthavel, R., Luigi Pio Leonardo Cavaliere, Sumit Vyas, et al.. (2022). Analysis on Prediction of COVID-19 with Machine Learning Algorithms. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 30(Supp01). 67–82. 1 indexed citations

Yenduri, Gokul, et al.. (2021). Ontology alignment evaluation for online assessment of e-learners: a new e-learning management system. Kybernetes. 51(2). 535–556. 2 indexed citations

King, Sean W., John J. Plombon, Jeff Bielefeld, et al.. (2020). A Selectively Colorful yet Chilly Perspective on the ^Highs and _Lows of Dielectric Materials for CMOS Nanoelectronics. 5 indexed citations

Vyas, Sumit. (2019). A Short Review on Properties and Applications of Zinc Oxide Based Thin Films and Devices. Johnson Matthey Technology Review. 64(2). 202–218. 117 indexed citations

Vyas, Sumit & Arun Dev Dhar Dwivedi. (2018). Effect of gate dielectric on the performance of ZnO based thin film transistor. Superlattices and Microstructures. 120. 223–234. 18 indexed citations

Vyas, Sumit. (2017). A short review on: Optimization techniques of ZnO based thin film transistors. Chinese Journal of Physics. 56(1). 117–124. 21 indexed citations

Kumar, Yogesh, Hemant Kumar, Sumit Vyas, et al.. (2017). A study of hydrothermally grown ZnO nanorod-based metal-semiconductor-metal UV detectors on glass substrates. Nanomaterials and Nanotechnology. 7. 2778892518–2778892518. 43 indexed citations

10.

Vyas, Sumit, et al.. (2015). Comparative Study of As-Deposited ZnO Thin Films by Thermal Evaporation, Pulsed Laser Deposition and RF Sputtering Methods for Electronic and Optoelectronic Applications. Journal of Electronic Materials. 44(10). 3401–3407. 17 indexed citations

11.

Vyas, Sumit, et al.. (2015). Optical and structural properties of indium doped bismuth selenide thin films. AIP conference proceedings. 1675. 20009–20009. 1 indexed citations

12.

Dillip, G.R., et al.. (2015). Fabrication and characterization of hydrothermally grown MgZnO nanorod films for Schottky diode applications. Microsystem Technologies. 23(1). 39–46. 18 indexed citations

13.

Vyas, Sumit, et al.. (2015). Tailoring Energy Bandgap of Al Doped ZnO Thin Films Grown by Vacuum Thermal Evaporation Method. Journal of Nanoscience and Nanotechnology. 15(12). 9636–9642. 4 indexed citations

14.

Giri, Pushpa, et al.. (2015). Fabrication and Characterization of ZnO Nanorods/Pd–Au Contacts. Journal of Nanoelectronics and Optoelectronics. 11(1). 1–5. 13 indexed citations

15.

Sharma, Shashi Kant, Sumit Vyas, C. Periasamy, & P. Chakrabarti. (2014). Structural and optical characterization of ZnO thin films for optoelectronic device applications by RF sputtering technique. Superlattices and Microstructures. 75. 378–389. 90 indexed citations

16.

Vyas, Sumit, et al.. (2014). Study the target effect on the structural, surface and optical properties of TiO2 thin film fabricated by RF sputtering method. Superlattices and Microstructures. 80. 215–221. 44 indexed citations

17.

Vyas, Sumit, et al.. (2014). Characterization of TiO2 Thin Film Deposited by RF Sputtering Method. 353. 1–3. 1 indexed citations

18.

Vyas, Sumit & Sanjeev Rai. (2012). A survey on power-delay reduction techniques for ultra-low-power subthreshold SCL circuits. 1–5. 1 indexed citations

19.

Srivastava, Alok, Virendra Singh, P. K. Kulriya, et al.. (2008). Role of structural modification on the electrical properties of poly(ethylene terephthalate) irradiated with 90‐MeV carbon ion beam. Polymer Engineering and Science. 48(6). 1052–1056. 9 indexed citations

20.

Vyas, Sumit, et al.. (1995). Growth of epitaxial GexSi1 − x for infrared detectors by UHV/CVD. Vacuum. 46(8-10). 1065–1069. 3 indexed citations

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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