S. Vikram Singh

21 papers receiving 431 citations

Peers

S. Vikram Singh
Comparison fields: 5 of 96
  • Health Informatics 16
  • Health Information Management 25
  • Organizational Behavior and Human Resource Management 46
  • Computer Networks and Communications 97
  • Artificial Intelligence 123
Replace Varun Malik with:
Varun Malik India
Micheal Olaolu Arowolo Nigeria
E. Poovammal India
Saipunidzam Mahamad Malaysia
Monika Mangla India
Pawankumar Sharma United States
Abeer Aljohani Saudi Arabia
A.M. Aleesa Malaysia
Darpan Anand India
Aman Jatain India
S. Vikram Singh relative to Varun Malik India Varun Malik's profile →
Citations per field
00.5×10.6×
Varun Malik · 1×
Citations per year

Countries citing papers authored by S. Vikram Singh

Since Specialization
Citations

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

Fields of papers citing papers by S. Vikram Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Vikram Singh. 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 S. Vikram Singh. The network helps show where S. Vikram Singh may publish in the future.

Co-authors

The 25 scholars most cited alongside S. Vikram Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Vikram Singh Line = papers co-authored together S. Vikram Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 202238
3 202237
4 202134
5 202232
6 202231
7 202229
8 202127
9 202124
10 202220
11 202019
12 202019
13 202218
14 201916
15 202413
16 20248
17
The Indian Ocean region: security, stability and sustainability in the 21st century
20138
18 20246
19 20233
20 20231

About S. Vikram Singh

S. Vikram Singh is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Computer Networks and Communications and Management Information Systems, having authored 23 papers that have together received 452 indexed citations. Recurring topics across this work include Digital Transformation in Industry (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), Big Data and Business Intelligence (2 papers), Artificial Intelligence in Healthcare (2 papers), IoT and Edge/Fog Computing (2 papers), Microgrid Control and Optimization (1 paper) and Sustainable Supply Chain Management (1 paper). The work is most often cited by research in Health Informatics (16 citations), Health Information Management (25 citations), Organizational Behavior and Human Resource Management (46 citations), Computer Networks and Communications (97 citations) and Artificial Intelligence (123 citations). S. Vikram Singh has collaborated with scholars based in India, United Arab Emirates and Iraq. Frequent co-authors include Garima Bhardwaj, Varun Malik, Sandeep Verma, Suman Avdhesh Yadav, Gurinder Singh, Ruchi Mittal, Arun Pratap Srivastava, Naina Chaudhary, Ruchika Gupta and Divya Pratap Singh. Their work appears in journals such as Journal of Applied Microbiology, IEEE Access, eSpace (Curtin University) and E3S Web of Conferences.

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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