Shiladitya Mal

903 citations
41 papers · 607 indexed · h-index 12
Topics
Quantum Mechanics and Applications (36 papers)Quantum Information and Cryptography (35 papers)Quantum Computing Algorithms and Architecture (22 papers)
Partner nations
IndiaTaiwanPoland

In The Last Decade

Shiladitya Mal

40 papers receiving 601 citations

Peers

Shiladitya Mal
Comparison fields: 5 of 30
  • Atomic and Molecular Physics, and Optics 561
  • Artificial Intelligence 548
  • Statistical and Nonlinear Physics 145
  • Computer Networks and Communications 13
  • Computational Theory and Mathematics 11
Replace Marc-Olivier Renou with:
Marc-Olivier Renou Switzerland
Shuming Cheng China
Yelena Guryanova United Kingdom
Sergey N. Filippov Russia
Fabian Furrer Japan
Flavien Hirsch Switzerland
Cecilia Cormick Argentina
Аурелиан Исар Romania
Adam Bennet Australia
Run Yan Teh Australia
Shiladitya Mal relative to Marc-Olivier Renou Switzerland Marc-Olivier Renou's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Shiladitya Mal

Since Specialization
Citations

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

Fields of papers citing papers by Shiladitya Mal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiladitya Mal

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
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5 1
6 1
7 8
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10 13
11 8
12 5
13 8
14 77
15 6
16 9
17 22
18 6
19 29
20 10

About Shiladitya Mal

Shiladitya Mal is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 41 papers that have together received 607 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (36 papers), Quantum Information and Cryptography (35 papers) and Quantum Computing Algorithms and Architecture (22 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (561 citations), Artificial Intelligence (548 citations) and Statistical and Nonlinear Physics (145 citations). Shiladitya Mal has collaborated with scholars based in India, Taiwan and Poland. Frequent co-authors include Aditi Sen, A. S. Majumdar, Dipankar Home, Debarshi Das, Ujjwal Sen, Tanumoy Pramanik, Titas Chanda, Anindita Bera, Sougato Bose and Debashis Saha. Their work appears in journals such as Physical Review Letters, Physical Review A and Physics Letters A.

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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