N. Ravi Shankar

826 citations
59 papers · 513 indexed · h-index 11
Topics
Multi-Criteria Decision Making (24 papers)Optimization and Mathematical Programming (13 papers)Resource-Constrained Project Scheduling (12 papers)
Journals
SHILAP Revista de lepidopterologíaInternational Journal of Quantum ChemistryThe Computer Journal
Partner nations
IndiaMalaysiaDenmark

In The Last Decade

N. Ravi Shankar

54 papers receiving 441 citations

Peers

N. Ravi Shankar
Comparison fields: 5 of 76
  • Artificial Intelligence 209
  • Management Science and Operations Research 207
  • Control and Systems Engineering 102
  • Computer Networks and Communications 87
  • Computer Vision and Pattern Recognition 71
Replace Fangwei Zhang with:
Fangwei Zhang China
Nureize Arbaiy Malaysia
Xin Tong United States
D. Nagarajan India
Shio Gai Quek Malaysia
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B.W. Schmeiser United States
Rubén Saborido Canada
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Citations per field
00.5×10×15×21.5×
Fangwei Zhang · 1×
Citations per year

Countries citing papers authored by N. Ravi Shankar

Since Specialization
Citations

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

Fields of papers citing papers by N. Ravi Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Ravi Shankar. 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 N. Ravi Shankar. The network helps show where N. Ravi Shankar may publish in the future.

Co-authorship network of co-authors of N. Ravi Shankar

This figure shows the co-authorship network connecting the top 25 collaborators of N. Ravi Shankar. A scholar is included among the top collaborators of N. Ravi Shankar 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 N. Ravi Shankar. N. Ravi Shankar 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 0
3
Criticality Degree and Project Characteristics in a Fuzzy Project Network
1
4 1
5 0
6 2
7 1
8 1
9 3
10 10
11
A New Modular Multiplication Method in Public Key Cryptosystem.
5
12 2
13 11
14 2
15 1
16 9
17 22
18 2
19
Anatomical variations associated with the carotid arterial system in the neck
4
20 7

About N. Ravi Shankar

N. Ravi Shankar is a scholar working on Management Science and Operations Research, Statistics and Probability and Orthopedics and Sports Medicine, having authored 59 papers that have together received 513 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (24 papers), Optimization and Mathematical Programming (13 papers) and Resource-Constrained Project Scheduling (12 papers). The work is most often cited by research in Management Science and Operations Research (207 citations), Statistics and Probability (63 citations) and Artificial Intelligence (209 citations). N. Ravi Shankar has collaborated with scholars based in India, Malaysia and Denmark. Frequent co-authors include Glenn Durfee, H. Chi Wong, Jessica Staddon, Dirk Balfanz, Diana K. Smetters, S. Durga Bhavani, B. Madhu Rao, M. Anburajan, Ulrich Furbach and K. Srinivasa Rao. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Quantum Chemistry and The Computer Journal.

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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