J. Chakrabarti

137 total papers · 1.3k total citations
92 papers, 964 citations indexed

About

J. Chakrabarti is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, J. Chakrabarti has authored 92 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 34 papers in Materials Chemistry and 22 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in J. Chakrabarti's work include Protein Structure and Dynamics (21 papers), Spectroscopy and Quantum Chemical Studies (20 papers) and Material Dynamics and Properties (16 papers). J. Chakrabarti is often cited by papers focused on Protein Structure and Dynamics (21 papers), Spectroscopy and Quantum Chemical Studies (20 papers) and Material Dynamics and Properties (16 papers). J. Chakrabarti collaborates with scholars based in India, United States and Germany. J. Chakrabarti's co-authors include Hartmut Löwen, Mahua Ghosh, Amit Das, Joachim Dzubiella, H. R. Krishnamurthy, Anil K. Sood, Harold Conroy, Thalappil Pradeep, Surajit Sengupta and Ranjit Biswas and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

J. Chakrabarti

85 papers receiving 949 citations

Author Peers

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

Author						Papers	Cites
J. Chakrabarti	472	236	171	153	148	92	964
Wolfgang Bruns	350 0.7×	358 1.5×	172 1.0×	69 0.5×	124 0.8×	82	1.2k
Gergely Tóth	502 1.1×	248 1.1×	124 0.7×	97 0.6×	282 1.9×	75	1.1k
Dwaipayan Chakrabarti	715 1.5×	111 0.5×	163 1.0×	148 1.0×	249 1.7×	45	1.1k
V. P. Zhdanov	355 0.8×	163 0.7×	128 0.7×	172 1.1×	335 2.3×	71	949
Tomonari Sumi	292 0.6×	219 0.9×	221 1.3×	35 0.2×	233 1.6×	74	891
Gábor Kemény	243 0.5×	139 0.6×	77 0.5×	144 0.9×	297 2.0×	74	979
Hidemi Nagao	256 0.5×	314 1.3×	58 0.3×	130 0.8×	359 2.4×	100	1.1k
A. Orecchini	445 0.9×	414 1.8×	132 0.8×	101 0.7×	588 4.0×	79	1.2k
Ivan Coluzza	386 0.8×	387 1.6×	138 0.8×	67 0.4×	105 0.7×	52	876
J.S. Moore	219 0.5×	146 0.6×	88 0.5×	31 0.2×	286 1.9×	71	1.1k

Countries citing papers authored by J. Chakrabarti

Since Specialization

Citations

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

Fields of papers citing papers by J. Chakrabarti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Chakrabarti

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