C. M. Chandrashekar

1.6k citations
59 papers · 948 indexed · h-index 18
Topics
Quantum Information and Cryptography (49 papers)Quantum Computing Algorithms and Architecture (45 papers)Quantum and electron transport phenomena (20 papers)

In The Last Decade

C. M. Chandrashekar

57 papers receiving 915 citations

Peers

C. M. Chandrashekar
Comparison fields: 5 of 56
  • Artificial Intelligence 782
  • Atomic and Molecular Physics, and Optics 625
  • Computational Theory and Mathematics 227
  • Statistical and Nonlinear Physics 71
  • Condensed Matter Physics 23
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Citations per field
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Countries citing papers authored by C. M. Chandrashekar

Since Specialization
Citations

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

Fields of papers citing papers by C. M. Chandrashekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. M. Chandrashekar. 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 C. M. Chandrashekar. The network helps show where C. M. Chandrashekar may publish in the future.

Co-authorship network of co-authors of C. M. Chandrashekar

This figure shows the co-authorship network connecting the top 25 collaborators of C. M. Chandrashekar. A scholar is included among the top collaborators of C. M. Chandrashekar 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 C. M. Chandrashekar. C. M. Chandrashekar 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 1
2 2
3 2
4 8
5 0
6 7
7 3
8 13
9 12
10
Bounds on the dynamics and entanglement in a periodic quantum walks
1
11 17
12 4
13
Interference in Localized Quantum Walk
1
14
ANALISA PENGARUH RASIO KEUANGAN MODEL SPRINGATE TERHADAP HARGA SAHAM PADA PERUSAHAAN PUBLIK SEKTOR TELEKOMUNIKASI
5
15
Simulation of neutrino oscillations using discrete-time quantum walk
1
16 17
17 19
18
Quantum percolation and Anderson transition point for transport of a two-state particle
3
19
Quantum walk through lattice with temporal, spatial, and fluctuating disordered operations
1
20 35

About C. M. Chandrashekar

C. M. Chandrashekar is a scholar working on Acoustics and Ultrasonics, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 59 papers that have together received 948 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (49 papers), Quantum Computing Algorithms and Architecture (45 papers) and Quantum and electron transport phenomena (20 papers). The work is most often cited by research in Artificial Intelligence (782 citations), Atomic and Molecular Physics, and Optics (625 citations) and Computational Theory and Mathematics (227 citations). C. M. Chandrashekar has collaborated with scholars based in India, Canada and United Kingdom. Frequent co-authors include R. Srikanth, Subhashish Banerjee, Raymond Laflamme, Thomas Busch, Z. Laczik, C. J. Foot, Vincent Boyer, Sandeep K. Goyal, Michael Ditty and Donatella Cassettari. Their work appears in journals such as Scientific Reports, Physical Review A and Optics Express.

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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