Sourabh Chandra

401 citations
14 papers · 209 indexed · h-index 6
Topics
Optical Network Technologies (4 papers)Chaos-based Image/Signal Encryption (4 papers)Advanced Optical Network Technologies (4 papers)
Journals
Wireless Personal Communications2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT)Procedia Computer Science
Partner nations
India

In The Last Decade

Sourabh Chandra

12 papers receiving 186 citations

Peers

Sourabh Chandra
Comparison fields: 5 of 22
  • Artificial Intelligence 113
  • Computer Vision and Pattern Recognition 100
  • Information Systems 68
  • Computer Networks and Communications 66
  • Signal Processing 32
Replace Smita Paira with:
Smita Paira India
Seog Chung Seo South Korea
Syh‐Yuan Tan Malaysia
Carlos Andres Lara-Nino Mexico
Zhi Hu China
Doug Whiting United States
Yiyuan Luo China
Roberto Avanzi Germany
Ju-Sung Kang South Korea
Gaëtan Leurent France
Sourabh Chandra relative to Smita Paira India Smita Paira's profile →
Citations per field
00.5×1.5×
Smita Paira · 1×
Citations per year

Countries citing papers authored by Sourabh Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Sourabh Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourabh Chandra

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 1
6 11
7 11
8 18
9 2
10 7
11 121
12
Bi Linear Search a New Session of Searching
1
13
Max Min Sorting Algorithm A New Sorting Approach
2
14 31

About Sourabh Chandra

Sourabh Chandra is a scholar working on Software, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 209 indexed citations. Recurring topics across this work include Optical Network Technologies (4 papers), Chaos-based Image/Signal Encryption (4 papers) and Advanced Optical Network Technologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (100 citations), Artificial Intelligence (113 citations) and Information Systems (68 citations). Sourabh Chandra has collaborated with scholars based in India. Frequent co-authors include Smita Paira, Goutam Sanyal, Siddhartha Bhattacharyya, Sukwinder Singh and Swapan Bhattacharya. Their work appears in journals such as Wireless Personal Communications, 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT) and Procedia Computer Science.

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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