Arghya Majee

495 citations
17 papers · 365 indexed · h-index 11
Topics
Pickering emulsions and particle stabilization (6 papers)Advanced Thermodynamics and Statistical Mechanics (5 papers)Electrostatics and Colloid Interactions (4 papers)
Partner nations
GermanyFranceChina

In The Last Decade

Arghya Majee

17 papers receiving 357 citations

Peers

Arghya Majee
Comparison fields: 5 of 54
  • Computational Mechanics 145
  • Biomedical Engineering 137
  • Statistical and Nonlinear Physics 114
  • Physical and Theoretical Chemistry 113
  • Condensed Matter Physics 81
Replace Marco Braibanti with:
Marco Braibanti Spain
K. Mussawisade Germany
Henri Menke Germany
Jalal Sarabadani Iran
Raffaele Pastore Italy
Alan E. van Giessen United States
Ingo O. Götze Germany
Erte Xi United States
Antonia Statt United States
Nabil Laachi United States
Arghya Majee relative to Marco Braibanti Spain Marco Braibanti's profile →
Citations per field
00.5×4.0×
Marco Braibanti · 1×
Citations per year

Countries citing papers authored by Arghya Majee

Since Specialization
Citations

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

Fields of papers citing papers by Arghya Majee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arghya Majee

This figure shows the co-authorship network connecting the top 25 collaborators of Arghya Majee. A scholar is included among the top collaborators of Arghya Majee 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 Arghya Majee. Arghya Majee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 10
2 10
3 1
4 1
5 13
6 12
7 14
8 3
9 23
10 2
11 3
12 10
13 73
14 79
15 26
16 35
17 50

About Arghya Majee

Arghya Majee is a scholar working on Physical and Theoretical Chemistry, Statistical and Nonlinear Physics and Surfaces, Coatings and Films, having authored 17 papers that have together received 365 indexed citations. Recurring topics across this work include Pickering emulsions and particle stabilization (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers) and Electrostatics and Colloid Interactions (4 papers). The work is most often cited by research in Physical and Theoretical Chemistry (113 citations), Statistical and Nonlinear Physics (114 citations) and Computational Mechanics (145 citations). Arghya Majee has collaborated with scholars based in Germany, France and China. Frequent co-authors include Aloïs Würger, Thomas Bickel, Rudolf Podgornik, Markus Bier, Michael Maskos, Ralf Blossey, S. Dietrich, Christoph A. Weber, Jure Dobnikar and Frank Jülicher. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Soft Matter.

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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