Uday Kumar

880 total citations
50 papers, 723 citations indexed

About

Uday Kumar is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Condensed Matter Physics. According to data from OpenAlex, Uday Kumar has authored 50 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 19 papers in Electronic, Optical and Magnetic Materials and 10 papers in Condensed Matter Physics. Recurrent topics in Uday Kumar's work include Magnetic and transport properties of perovskites and related materials (12 papers), Advanced Condensed Matter Physics (7 papers) and Photochemistry and Electron Transfer Studies (7 papers). Uday Kumar is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (12 papers), Advanced Condensed Matter Physics (7 papers) and Photochemistry and Electron Transfer Studies (7 papers). Uday Kumar collaborates with scholars based in India, Germany and Japan. Uday Kumar's co-authors include P.K. Mukhopadhyay, Rajeev Ranjan, S. R. Barman, Soma Banik, Chandrashekhar Azad, Dhananjai Pandey, P.K. Chakrabarti, Sukhen Das, D. Das and B. Nath and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Physical Review B.

In The Last Decade

Uday Kumar

45 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uday Kumar India 16 447 285 129 113 102 50 723
В. А. Смирнов Russia 15 471 1.1× 190 0.7× 253 2.0× 265 2.3× 152 1.5× 102 999
Nathalie Tarrat France 16 387 0.9× 106 0.4× 106 0.8× 115 1.0× 176 1.7× 53 729
Vitaly I. Korepanov Russia 12 369 0.8× 90 0.3× 182 1.4× 145 1.3× 122 1.2× 47 674
Łukasz Laskowski Poland 15 467 1.0× 132 0.5× 100 0.8× 140 1.2× 51 0.5× 65 680
Johannes Mielke Germany 13 321 0.7× 41 0.1× 236 1.8× 244 2.2× 144 1.4× 25 679
H.H. Kart Türkiye 15 367 0.8× 107 0.4× 140 1.1× 40 0.4× 46 0.5× 34 618
A. Mandanici Italy 18 663 1.5× 150 0.5× 84 0.7× 89 0.8× 69 0.7× 52 1.0k
Emanuele Panizon Italy 15 393 0.9× 112 0.4× 65 0.5× 135 1.2× 213 2.1× 30 807
Kehe Su China 12 309 0.7× 347 1.2× 127 1.0× 53 0.5× 93 0.9× 47 853
Alain Dequidt France 19 368 0.8× 284 1.0× 59 0.5× 180 1.6× 141 1.4× 65 947

Countries citing papers authored by Uday Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Uday Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uday Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Uday Kumar. A scholar is included among the top collaborators of Uday Kumar 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 Uday Kumar. Uday Kumar 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
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Azad, Chandrashekhar, et al.. (2025). Predicting Förster critical distance using machine learning techniques. AIP conference proceedings. 3266. 20071–20071.
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Azad, Chandrashekhar, et al.. (2024). Study and prediction of photocurrent density with external validation using machine learning models. International Journal of Hydrogen Energy. 92. 1335–1355. 1 indexed citations
7.
Kumar, Uday, et al.. (2023). Optimized Machine learning techniques Enable prediction of organic dyes photophysical Properties: Absorption Wavelengths, emission Wavelengths, and quantum yields. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 308. 123768–123768. 23 indexed citations
8.
Azad, Chandrashekhar, et al.. (2023). Stokes shift prediction of fluorescent organic dyes using machine learning based hybrid cascade models. Dyes and Pigments. 222. 111918–111918. 12 indexed citations
9.
Gupta, Indrani, et al.. (2023). E-20 | Appropriateness of Percutaneous Coronary Intervention Under Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-PMJAY). Journal of the Society for Cardiovascular Angiography & Interventions. 2(3). 100930–100930.
10.
Kumar, Uday, et al.. (2023). A comparative study of conventional FRET and light harvesting properties of Rh-110/Rh-6G and Rh-19/Rh-B organic dye pairs impregnated in sol-gel glasses. Methods and Applications in Fluorescence. 11(3). 35003–35003. 7 indexed citations
11.
Kumar, Uday, et al.. (2022). A Review of Organic Dye Based Nanoparticles: Preparation, Properties,and Engineering/Technical Applications. Mini-Reviews in Organic Chemistry. 20(7). 655–674. 9 indexed citations
12.
Roy, Shuvrodeb, Uday Kumar, & P. Bhattacharyya. (2019). Synthesis and characterization of exfoliated biochar from four agricultural feedstock. Environmental Science and Pollution Research. 26(7). 7272–7276. 21 indexed citations
13.
Mukherjee, Pampa, et al.. (2017). Optical and electronic structure studies of half metallic in Sr2CoWO6 double perovskite. AIP conference proceedings. 1832. 140039–140039. 3 indexed citations
14.
Ray, Rajyavardhan, Joydev Lahiri, Uday Kumar, et al.. (2016). Optical and electronic properties of double perovskite Ba2ScSbO6. AIP conference proceedings. 1731. 140041–140041. 13 indexed citations
15.
Singh, Bijay, et al.. (2016). Ab initio study of double perovskites Ba2DySbO6. AIP conference proceedings. 6 indexed citations
16.
Soni, Jalpa, H. Purwar, Harshit Lakhotia, et al.. (2013). Quantitative fluorescence and elastic scattering tissue polarimetry using an Eigenvalue calibrated spectroscopic Mueller matrix system. Optics Express. 21(13). 15475–15475. 51 indexed citations
17.
Benocci, R., et al.. (2010). An automated autocorrelator for the measurement of high-frequency femtosecond pulses. Radiation effects and defects in solids. 165(6-10). 681–687.
18.
Kumar, Uday, et al.. (2006). Molecular Forms of Coumarin-307 in Sol-Gel Glasses. Journal of Fluorescence. 16(5). 679–687. 15 indexed citations
19.
Chakrabarti, P.K., B. Nath, Sanjaya Brahma, et al.. (2006). Magnetic and hyperfine properties of nanocrystalline Ni0.2Zn0.6Cu0.2Fe2O4prepared by a chemical route. Journal of Physics Condensed Matter. 18(22). 5253–5267. 41 indexed citations
20.
Nath, B., et al.. (2005). Mossbauer Studies on Nanoparticles of Zinc Substituted Magnesium Ferrite. 21. 169–182. 4 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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