G. M. Lohar

1.2k total citations
58 papers, 919 citations indexed

About

G. M. Lohar is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, G. M. Lohar has authored 58 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 32 papers in Materials Chemistry and 27 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in G. M. Lohar's work include Supercapacitor Materials and Fabrication (27 papers), Quantum Dots Synthesis And Properties (19 papers) and Chalcogenide Semiconductor Thin Films (17 papers). G. M. Lohar is often cited by papers focused on Supercapacitor Materials and Fabrication (27 papers), Quantum Dots Synthesis And Properties (19 papers) and Chalcogenide Semiconductor Thin Films (17 papers). G. M. Lohar collaborates with scholars based in India, South Korea and Australia. G. M. Lohar's co-authors include V.J. Fulari, Akash V. Fulari, Surendra K. Shinde, M.C. Rath, A. S. Patil, Rajendra V. Shejwal, H. D. Dhaygude, Gajanan Ghodake, Deepak P. Dubal and Yuan‐Ron Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

G. M. Lohar

57 papers receiving 903 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. M. Lohar India 20 625 446 407 211 179 58 919
R. Thangappan India 15 552 0.9× 622 1.4× 429 1.1× 228 1.1× 263 1.5× 30 983
Ying-Feng Lee Taiwan 11 629 1.0× 639 1.4× 373 0.9× 261 1.2× 220 1.2× 12 967
Sagar M. Mane South Korea 19 645 1.0× 808 1.8× 453 1.1× 244 1.2× 216 1.2× 79 1.1k
Yih‐Chyng Wu France 9 886 1.4× 785 1.8× 378 0.9× 215 1.0× 185 1.0× 11 1.2k
Navajsharif S. Shaikh Thailand 15 521 0.8× 413 0.9× 360 0.9× 181 0.9× 232 1.3× 21 819
Kunzhen Li China 16 786 1.3× 732 1.6× 434 1.1× 112 0.5× 264 1.5× 27 1.2k
Chunnian Chen China 16 429 0.7× 414 0.9× 240 0.6× 214 1.0× 147 0.8× 43 711
Zijiong Li China 16 501 0.8× 467 1.0× 568 1.4× 195 0.9× 203 1.1× 41 1.0k
Sergej Repp Germany 14 645 1.0× 546 1.2× 781 1.9× 155 0.7× 148 0.8× 16 1.2k
Ranjit S. Kate India 16 824 1.3× 481 1.1× 479 1.2× 359 1.7× 176 1.0× 23 1.1k

Countries citing papers authored by G. M. Lohar

Since Specialization
Citations

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

Fields of papers citing papers by G. M. Lohar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. M. Lohar. 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 G. M. Lohar. The network helps show where G. M. Lohar may publish in the future.

Co-authorship network of co-authors of G. M. Lohar

This figure shows the co-authorship network connecting the top 25 collaborators of G. M. Lohar. A scholar is included among the top collaborators of G. M. Lohar 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 G. M. Lohar. G. M. Lohar 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.
Fulari, Akash V., et al.. (2025). Theoretical Specific Capacity and Metal Ion Diffusion Pathway of NiMoO 4 Microspheres for Hybrid Supercapacitors. Small. 21(13). e2500080–e2500080. 17 indexed citations
2.
Fulari, Akash V., et al.. (2025). Machine Learning a Predictive Tool for the Analysis of NiCo2S4/Graphene Composites for Supercapacitor. ChemSusChem. 18(14). e202402559–e202402559. 3 indexed citations
3.
Fulari, Akash V., et al.. (2025). Nickel cobalt phosphate/phosphide as a promising electrode material for extrinsic supercapacitors: machine learning analysis. Journal of Materials Chemistry A. 13(10). 6993–7054. 10 indexed citations
4.
Lohar, G. M., et al.. (2025). Bolstering the Rate Performance of Co‐Free Ni‐Rich Layered Oxide Cathode through a Rapid Heating Method. Batteries & Supercaps. 8(8). 1 indexed citations
5.
Dubal, Deepak P., et al.. (2025). Exploring Quantum Capacitance and Adsorption Energy of Alkali Metal on NiO Using First‐Principles DFT Calculations. SHILAP Revista de lepidopterología. 3(2). 1 indexed citations
6.
7.
Kulkarni, S. B., et al.. (2025). Transition Metal Molybdates Emerging Materials for High‐Performance Supercapacitors: A Machine Learning Analysis. Battery energy. 4(3). 7 indexed citations
8.
Fulari, Akash V., et al.. (2023). Synthesis of NiCo2O4 microflowers by facile hydrothermal method: Effect of precursor concentration. Chemical Physics Letters. 824. 140551–140551. 28 indexed citations
9.
Fulari, Akash V., et al.. (2021). Review on recent progress in hydrothermally synthesized MCo2O4/rGO composite for energy storage devices. Chemical Engineering Journal. 426. 131544–131544. 55 indexed citations
10.
Patil, A. S., et al.. (2021). Facile synthesis of CuO nanostructures for non-enzymatic glucose sensor by modified SILAR method. Applied Physics A. 127(2). 19 indexed citations
11.
Fulari, Akash V., et al.. (2020). Modification in porous MnO2/PANI composite using high-energy electron irradiation for electrochemical supercapacitor. Journal of Materials Science Materials in Electronics. 31(14). 11741–11747. 12 indexed citations
12.
13.
Lohar, G. M., et al.. (2016). Effect of 10 MeV energy of electron irradiation on Fe2+ doped ZnSe nanorods and their modified properties. Ionics. 22(8). 1451–1460. 17 indexed citations
14.
Dhaygude, H. D., Surendra K. Shinde, Ninad B. Velhal, G. M. Lohar, & V.J. Fulari. (2016). Synthesis and characterization of ZnO thin film by low cost modified SILAR technique. AIMS Materials Science. 3(2). 349–356. 6 indexed citations
15.
Dhaygude, H. D., Surendra K. Shinde, M. V. Takale, et al.. (2016). Electrodeposited nanosphere like Cd x Zn1−x S electrodes for photoelectrochemical cell. Journal of Materials Science Materials in Electronics. 27(5). 5145–5152. 9 indexed citations
16.
Lohar, G. M., H. D. Dhaygude, Ranjit A. Patil, Yuan‐Ron Ma, & V.J. Fulari. (2015). Studies of properties of Fe2+ doped ZnSe nano-needles for photoelectrochemical cell application. Journal of Materials Science Materials in Electronics. 26(11). 8904–8914. 22 indexed citations
17.
Lohar, G. M., et al.. (2015). Preparation and Characterization Iron doped Zinc Selenide Thin Film by Electrodeposition. 3 indexed citations
18.
Lohar, G. M., M. V. Takale, Ranjit A. Patil, et al.. (2015). Photoelectrochemical cell studies of Fe2+ doped ZnSe nanorods using the potentiostatic mode of electrodeposition. Journal of Colloid and Interface Science. 458. 136–146. 49 indexed citations
19.
Shinde, Surendra K., Deepak P. Dubal, Gajanan Ghodake, et al.. (2014). Baking impact of Fe composition on CdSe films for solar cell application. Materials Letters. 132. 243–246. 21 indexed citations
20.
Lohar, G. M., et al.. (2013). Photoelectrochemical cell performance of electrodeposited iron doped zinc selenide thin film. 633. 411–413. 2 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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