Juzar Thingna

55 total papers · 593 total citations
32 papers, 414 citations indexed

About

Juzar Thingna is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Juzar Thingna has authored 32 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atomic and Molecular Physics, and Optics, 17 papers in Statistical and Nonlinear Physics and 9 papers in Artificial Intelligence. Recurrent topics in Juzar Thingna's work include Advanced Thermodynamics and Statistical Mechanics (16 papers), Quantum and electron transport phenomena (12 papers) and Quantum Information and Cryptography (8 papers). Juzar Thingna is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (16 papers), Quantum and electron transport phenomena (12 papers) and Quantum Information and Cryptography (8 papers). Juzar Thingna collaborates with scholars based in Singapore, United States and South Korea. Juzar Thingna's co-authors include Jian‐Sheng Wang, Jianshu Cao, Peter Hänggi, Dahai He, Daniel Manzano, Baowen Li, Hangbo Zhou, J. L. García‐Palacios, Massimiliano Esposito and Dario Poletti and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Journal of Applied Physics.

In The Last Decade

Juzar Thingna

32 papers receiving 411 citations

Author Peers

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

Author Last Decade Papers Cites
Juzar Thingna 276 210 140 108 70 32 414
Г. Н. Бочков 193 0.7× 331 1.6× 43 0.3× 32 0.3× 40 0.6× 33 405
Junjie Liu 244 0.9× 184 0.9× 115 0.8× 80 0.7× 58 0.8× 46 380
Georg Engelhardt 423 1.5× 93 0.4× 133 0.9× 33 0.3× 49 0.7× 23 443
Jorge Villavicencio 346 1.3× 117 0.6× 114 0.8× 78 0.7× 9 0.1× 43 463
G. Mahler 279 1.0× 282 1.3× 199 1.4× 26 0.2× 93 1.3× 23 420
Luca Magazzù 200 0.7× 166 0.8× 107 0.8× 17 0.2× 13 0.2× 15 370
Maicol A. Ochoa 334 1.2× 267 1.3× 90 0.6× 60 0.6× 74 1.1× 19 431
Katarzyna Macieszczak 353 1.3× 206 1.0× 237 1.7× 22 0.2× 31 0.4× 14 444
Archak Purkayastha 426 1.5× 225 1.1× 166 1.2× 30 0.3× 18 0.3× 28 464
Georgi Gary Rozenman 290 1.1× 53 0.3× 122 0.9× 31 0.3× 60 0.9× 22 438

Countries citing papers authored by Juzar Thingna

Since Specialization
Citations

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

Fields of papers citing papers by Juzar Thingna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juzar Thingna

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