G. Mukherjee

32 total papers · 776 total citations
16 papers, 517 citations indexed

About

G. Mukherjee is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Geometry and Topology. According to data from OpenAlex, G. Mukherjee has authored 16 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 6 papers in Mathematical Physics and 3 papers in Geometry and Topology. Recurrent topics in G. Mukherjee's work include Complex Network Analysis Techniques (9 papers), Stochastic processes and statistical mechanics (6 papers) and Graph theory and applications (3 papers). G. Mukherjee is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Stochastic processes and statistical mechanics (6 papers) and Graph theory and applications (3 papers). G. Mukherjee collaborates with scholars based in India, United States and Germany. G. Mukherjee's co-authors include S. S. Manna, Parongama Sen, Subinay Dasgupta, P. A. Sreeram, Arnab Chatterjee, Abhijit Chakraborty, Kakali Datta, Asok K. Mukherjee, K. T. Kashyap and Neelima Gupte and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Fractals and Bulletin of Materials Science.

In The Last Decade

G. Mukherjee

16 papers receiving 478 citations

Hit Papers

Small-world properties of... 2003 2026 2010 2018 2003 100 200 300

Author Peers

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

Author Last Decade Papers Cites
G. Mukherjee 348 131 83 70 37 16 517
P. A. Sreeram 297 0.9× 124 0.9× 81 1.0× 42 0.6× 23 0.6× 17 550
W. Li 357 1.0× 85 0.6× 41 0.5× 46 0.7× 67 1.8× 11 484
Hui Chang 405 1.2× 55 0.4× 22 0.3× 125 1.8× 34 0.9× 29 516
Karsten Peters 264 0.8× 31 0.2× 12 0.1× 143 2.0× 21 0.6× 9 477
José F. Vicent 187 0.5× 174 1.3× 119 1.4× 42 0.6× 23 0.6× 48 522
Utkarsh Upadhyay 65 0.2× 81 0.6× 26 0.3× 45 0.6× 11 0.3× 23 522
Byungjoon Min 478 1.4× 35 0.3× 3 0.0× 85 1.2× 29 0.8× 25 611
Cristobald de Kerchove 228 0.7× 149 1.1× 16 0.2× 90 1.3× 33 0.9× 9 474
Yong Yu 334 1.0× 25 0.2× 10 0.1× 214 3.1× 10 0.3× 21 493
Caterina De Bacco 328 0.9× 40 0.3× 8 0.1× 48 0.7× 15 0.4× 33 511

Countries citing papers authored by G. Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by G. Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Mukherjee

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