Ghoshna Jyoti

39 total papers · 674 total citations
30 papers, 544 citations indexed

About

Ghoshna Jyoti is a scholar working on Geophysics, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Ghoshna Jyoti has authored 30 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Geophysics, 11 papers in Materials Chemistry and 8 papers in Mechanical Engineering. Recurrent topics in Ghoshna Jyoti's work include High-pressure geophysics and materials (11 papers), Process Optimization and Integration (7 papers) and Rare-earth and actinide compounds (4 papers). Ghoshna Jyoti is often cited by papers focused on High-pressure geophysics and materials (11 papers), Process Optimization and Integration (7 papers) and Rare-earth and actinide compounds (4 papers). Ghoshna Jyoti collaborates with scholars based in India, United States and United Kingdom. Ghoshna Jyoti's co-authors include J. Anandkumar, Satish C. Gupta, K. D. Joshi, S. K. Sikka, Shabina Khanam, G.K. Dey, S. Banerjee, R. Tewari, Parmesh Kumar Chaudhari and Amit Keshav and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Physical review. B, Condensed matter and Journal of Applied Physics.

In The Last Decade

Ghoshna Jyoti

30 papers receiving 532 citations

Author Peers

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

Author						Papers	Cites
Ghoshna Jyoti	249	227	127	111	90	30	544
Xuan Zhao	154 0.6×	151 0.7×	52 0.4×	41 0.4×	19 0.2×	47	566
Lu Qi	96 0.4×	254 1.1×	92 0.7×	26 0.2×	13 0.1×	49	600
R. Sridhar	470 1.9×	137 0.6×	199 1.6×	64 0.6×	17 0.2×	31	605
Yuchen Liu	200 0.8×	386 1.7×	63 0.5×	48 0.4×	6 0.1×	33	588
Kazuyuki Nakai	145 0.6×	312 1.4×	134 1.1×	27 0.2×	10 0.1×	31	506
Vinayak N. Kabadi	76 0.3×	96 0.4×	303 2.4×	41 0.4×	5 0.1×	35	503
Akhilesh Arora	132 0.5×	188 0.8×	91 0.7×	17 0.2×	10 0.1×	23	471
Tianfu Zhang	187 0.8×	279 1.2×	220 1.7×	64 0.6×	5 0.1×	37	601
T. Aoki	73 0.3×	105 0.5×	95 0.7×	44 0.4×	43 0.5×	23	504
D. A. R. Kay	377 1.5×	258 1.1×	66 0.5×	26 0.2×	16 0.2×	20	524

Countries citing papers authored by Ghoshna Jyoti

Since Specialization

Citations

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

Fields of papers citing papers by Ghoshna Jyoti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghoshna Jyoti

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