K.P. Vijayakumar

1.2k total citations
56 papers, 1.0k citations indexed

About

K.P. Vijayakumar is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, K.P. Vijayakumar has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 43 papers in Materials Chemistry and 15 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in K.P. Vijayakumar's work include Chalcogenide Semiconductor Thin Films (44 papers), Quantum Dots Synthesis And Properties (35 papers) and Semiconductor materials and interfaces (13 papers). K.P. Vijayakumar is often cited by papers focused on Chalcogenide Semiconductor Thin Films (44 papers), Quantum Dots Synthesis And Properties (35 papers) and Semiconductor materials and interfaces (13 papers). K.P. Vijayakumar collaborates with scholars based in India, Japan and Netherlands. K.P. Vijayakumar's co-authors include C. Sudha Kartha, Y. Kashiwaba, T. Abe, Teny Theresa John, R. Jayakrishnan, T. Abe, C. Sanjeeviraja, S. Bini, Tina Sebastian and K. B. Jinesh and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of Materials Science.

In The Last Decade

K.P. Vijayakumar

56 papers receiving 979 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.P. Vijayakumar India 18 907 901 133 81 47 56 1.0k
J. Álvarez-Garcı́a Spain 19 894 1.0× 874 1.0× 84 0.6× 41 0.5× 32 0.7× 31 964
O. Vigil Cuba 20 1.1k 1.2× 962 1.1× 152 1.1× 86 1.1× 61 1.3× 46 1.2k
Claudia Malerba Italy 19 1.1k 1.3× 936 1.0× 127 1.0× 71 0.9× 42 0.9× 40 1.3k
L. Calvo‐Barrio Spain 23 1.5k 1.7× 1.6k 1.8× 231 1.7× 80 1.0× 31 0.7× 64 1.7k
G. Wisz Poland 14 693 0.8× 632 0.7× 85 0.6× 82 1.0× 66 1.4× 48 868
Matteo Valentini Italy 18 839 0.9× 945 1.0× 123 0.9× 56 0.7× 103 2.2× 57 1.1k
Suhit Ranjan Das Canada 5 420 0.5× 498 0.6× 128 1.0× 41 0.5× 35 0.7× 8 595
J. Pouzet France 17 810 0.9× 702 0.8× 188 1.4× 59 0.7× 32 0.7× 43 939
Hongtao Cui China 16 1.3k 1.4× 1.3k 1.5× 175 1.3× 57 0.7× 14 0.3× 49 1.5k
N. Revathi India 17 782 0.9× 742 0.8× 101 0.8× 74 0.9× 69 1.5× 39 856

Countries citing papers authored by K.P. Vijayakumar

Since Specialization
Citations

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

Fields of papers citing papers by K.P. Vijayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.P. Vijayakumar. 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 K.P. Vijayakumar. The network helps show where K.P. Vijayakumar may publish in the future.

Co-authorship network of co-authors of K.P. Vijayakumar

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

All Works

20 of 20 papers shown
1.
Vijayakumar, K.P., et al.. (2024). MDCN: Modified Dense Convolution Network Based Disease Classification in Mango Leaves. Computers, materials & continua/Computers, materials & continua (Print). 78(2). 2511–2533. 1 indexed citations
2.
Vijayakumar, K.P., et al.. (2023). Type conversion as well as bandgap tuning of sprayed SnS thin film and initial trials on heterojunction diodes. Materials Today Proceedings. 6 indexed citations
3.
Vijayakumar, K.P., et al.. (2023). R-CNN and YOLOV4 based Deep Learning Model for intelligent detection of weaponries in real time video. Mathematical Biosciences & Engineering. 20(12). 21611–21625. 3 indexed citations
4.
Vijayakumar, K.P., et al.. (2020). Effect of Cu and Sn concentration on the performance of all-sprayed CZTS solar cell. Journal of Physics Conference Series. 1461(1). 12181–12181. 5 indexed citations
5.
6.
Kartha, C. Sudha, et al.. (2019). Photoluminescence studies on copper zinc sulfide thin films synthesized through chemical bath deposition. AIP conference proceedings. 2082. 50005–50005. 2 indexed citations
7.
Kartha, C. Sudha, et al.. (2017). Thin film solar cell using earth abundant Cu2SnS3 (CTS) fabricated through spray pyrolysis: Influence of precursors. Optik. 144. 263–270. 36 indexed citations
8.
Kartha, C. Sudha, et al.. (2014). Ageing studies on CuInS2/In2S3 junction (2.5×2cm2) deposited using automated spray machine. AIP conference proceedings. 639–641. 1 indexed citations
9.
Kuriakose, A.K., et al.. (2013). Effect of variation of tin concentration on the properties of Cu[sub 2]ZnSnS[sub 4] thin films deposited using chemical spray pyrolysis. AIP conference proceedings. 1206–1207. 2 indexed citations
10.
Mancini, A., et al.. (2012). Band offset of the In2S3/indium tin oxide interface measured by X-ray photoelectron spectroscopy. Thin Solid Films. 520(18). 5856–5859. 2 indexed citations
11.
Jinesh, K. B., et al.. (2012). Defect levels in SnS thin films prepared using chemical spray pyrolysis. physica status solidi (a). 209(7). 1274–1278. 39 indexed citations
12.
Jayakrishnan, R., et al.. (2012). ZnO thin Films with blue emission grown using chemical spray pyrolysis. Materials Science in Semiconductor Processing. 16(2). 326–331. 39 indexed citations
13.
Kartha, C. Sudha, et al.. (2011). Spray Pyrolysed Cu[sub 2]ZnSnS[sub 4] Solar Cell Using Cadmium Free Buffer Layer. AIP conference proceedings. 683–684. 3 indexed citations
14.
John, Teny Theresa, et al.. (2009). Structural and Optical Properties of Indium Sulfide Thin Films Prepared by Silar Technique. 2. 9–14. 6 indexed citations
15.
Jayakrishnan, R., Tina Sebastian, Teny Theresa John, C. Sudha Kartha, & K.P. Vijayakumar. (2007). Photoconductivity in sprayed β-In2S3 thin films under sub-band-gap excitation of 1.96 eV. Journal of Applied Physics. 102(4). 38 indexed citations
16.
Jayakrishnan, R., et al.. (2006). Surface topology using laser backscattering and photoluminescence on Cu- and In-rich CuInSe2thin films. Measurement Science and Technology. 17(12). 3301–3308. 1 indexed citations
17.
Jayakrishnan, R., Teny Theresa John, C. Sudha Kartha, et al.. (2005). Defect analysis of sprayed β-In2S3thin films using photoluminescence studies. Semiconductor Science and Technology. 20(12). 1162–1167. 73 indexed citations
18.
Sekar, Ramkumar, et al.. (2005). Characterizations of undoped and Cu doped CdS thin films using photothermal and other techniques. physica status solidi (a). 202(3). 425–434. 13 indexed citations
19.
Vijayakumar, K.P., et al.. (1990). Effect of annealing temperatures on the electrical transport properties of spray-pyrolysed CdS films. Journal of Materials Science Letters. 9(9). 1025–1027. 15 indexed citations
20.
Vijayakumar, K.P., et al.. (1981). Effect of annealing on the reflectivity of silver films. Thin Solid Films. 82(3). 225–227. 8 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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