Chandra Shakher

2.7k citations
150 papers · 2.1k indexed · h-index 27
Topics
Optical measurement and interference techniques (83 papers)Digital Holography and Microscopy (56 papers)Advanced Optical Imaging Technologies (25 papers)
Partner nations
IndiaGermanyJapan

In The Last Decade

Chandra Shakher

144 papers receiving 2.0k citations

Peers

Chandra Shakher
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 1.2k
  • Atomic and Molecular Physics, and Optics 870
  • Biomedical Engineering 547
  • Media Technology 441
  • Electrical and Electronic Engineering 391
Replace Manoj Kumar with:
Manoj Kumar India
Peter J. Bryanston-Cross United Kingdom
Yang Song China
Sung Cheol Park South Korea
Kieran G. Larkin Australia
Krzysztof Patorski Poland
J.G. Walker United Kingdom
Thomas Kreis Germany
Oded Kafri Israel
Henri H. Arsenault Canada
Chandra Shakher relative to Manoj Kumar India Manoj Kumar's profile →
Citations per field
00.5×4.4×
Manoj Kumar · 1×
Citations per year

Countries citing papers authored by Chandra Shakher

Since Specialization
Citations

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

Fields of papers citing papers by Chandra Shakher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandra Shakher

This figure shows the co-authorship network connecting the top 25 collaborators of Chandra Shakher. A scholar is included among the top collaborators of Chandra Shakher 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 Chandra Shakher. Chandra Shakher 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
2 2
3 2
4 12
5 7
6 25
7 22
8
Orphanhood; in the Context of Mental Health and Difficulty in Emotion Regulation of Children
2
9 19
10 56
11 13
12 20
13 12
14 2
15 12
16 54
17 5
18 2
19 21
20 1

About Chandra Shakher

Chandra Shakher is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics, having authored 150 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (83 papers), Digital Holography and Microscopy (56 papers) and Advanced Optical Imaging Technologies (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (441 citations) and Atomic and Molecular Physics, and Optics (870 citations). Chandra Shakher has collaborated with scholars based in India, Germany and Japan. Frequent co-authors include Manoj Kumar, Anil Kumar Nirala, Varun Kumar, Dalip Singh Mehta, Shilpi Agarwal, Gyanendra Sheoran, Satish Kumar Dubey, Madhusudan Joshi, Kehar Singh and Madhuri Thakur. Their work appears in journals such as Applied Physics Letters, Optics Letters and Review of Scientific Instruments.

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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