Jai Parkash

54 total papers · 426 total citations
25 papers, 348 citations indexed

About

Jai Parkash is a scholar working on Materials Chemistry, Organic Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Jai Parkash has authored 25 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 6 papers in Organic Chemistry and 5 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Jai Parkash's work include Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Nanocluster Synthesis and Applications (3 papers) and Graphene research and applications (2 papers). Jai Parkash is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Nanocluster Synthesis and Applications (3 papers) and Graphene research and applications (2 papers). Jai Parkash collaborates with scholars based in India, Pakistan and United States. Jai Parkash's co-authors include Peter J. Collings, John H. Robblee, Robert F. Pasternack, Julio C. de Paula, Esther J. Gibbs, Aditya Sharma, Ravinder Kumar, Raj Kamal, Vipan Kumar and Mustafa Z Younis and has published in prestigious journals such as Biophysical Journal, Materials Letters and Journal of Molecular Structure.

In The Last Decade

Jai Parkash

20 papers receiving 339 citations

Author Peers

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

Author						Papers	Cites
Jai Parkash	150	104	65	58	41	25	348
Sarvpreet Kaur	155 1.0×	75 0.7×	61 0.9×	32 0.6×	58 1.4×	29	352
Sneha Paul	115 0.8×	97 0.9×	45 0.7×	89 1.5×	17 0.4×	26	335
Daniel Autrey	134 0.9×	68 0.7×	41 0.6×	58 1.0×	83 2.0×	21	352
Jialong Jie	189 1.3×	133 1.3×	27 0.4×	80 1.4×	30 0.7×	32	398
Torben Schindler	193 1.3×	71 0.7×	68 1.0×	92 1.6×	49 1.2×	25	396
Monika Warzecha	179 1.2×	92 0.9×	30 0.5×	39 0.7×	29 0.7×	25	371
Jianqiang Ma	143 1.0×	136 1.3×	26 0.4×	20 0.3×	69 1.7×	22	356
M. Brustolon	129 0.9×	33 0.3×	35 0.5×	68 1.2×	35 0.9×	31	320
Prasun Ghosh	193 1.3×	101 1.0×	61 0.9×	93 1.6×	27 0.7×	34	353
N. Srinivasan	156 1.0×	36 0.3×	55 0.8×	51 0.9×	37 0.9×	13	384

Countries citing papers authored by Jai Parkash

Since Specialization

Citations

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

Fields of papers citing papers by Jai Parkash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jai Parkash

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