S. Sivakumar

779 total citations
32 papers, 543 citations indexed

About

S. Sivakumar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, S. Sivakumar has authored 32 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Information Systems. Recurrent topics in S. Sivakumar's work include Graph Labeling and Dimension Problems (3 papers), IoT and Edge/Fog Computing (3 papers) and Artificial Intelligence in Healthcare (3 papers). S. Sivakumar is often cited by papers focused on Graph Labeling and Dimension Problems (3 papers), IoT and Edge/Fog Computing (3 papers) and Artificial Intelligence in Healthcare (3 papers). S. Sivakumar collaborates with scholars based in India, United Kingdom and Egypt. S. Sivakumar's co-authors include K. Kalidasa Murugavel, K. Srithar, S. Shanmugan, Catalin I. Pruncu, Hitesh Panchal, Fadl A. Essa, Z.M. Omara, Ammar H. Elsheikh, Shiva Gorjian and Soumya Ranjan Nayak and has published in prestigious journals such as Applied Energy, Solar Energy and Desalination.

In The Last Decade

S. Sivakumar

25 papers receiving 498 citations

Peers

S. Sivakumar
Comparison fields: 5 of 63
  • Renewable Energy, Sustainability and the Environment 407
  • Artificial Intelligence 141
  • Water Science and Technology 141
  • Mechanical Engineering 97
  • Computer Networks and Communications 36
Replace Sujit Kumar with:
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Daniel Larner United States
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Abdelilah Chalh Saudi Arabia
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Sujit Kumar India View profile →
Citations per field, relative to S. Sivakumar
S. Sivakumar · 1×
Citations per year, relative to S. Sivakumar
S. Sivakumar · 1×

Countries citing papers authored by S. Sivakumar

Since Specialization
Citations

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

Fields of papers citing papers by S. Sivakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Sivakumar

This figure shows the co-authorship network connecting the top 25 collaborators of S. Sivakumar. A scholar is included among the top collaborators of S. Sivakumar 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 S. Sivakumar. S. Sivakumar 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
# Work Indexed citations
1 0
2 0
3 1
4 0
5 2
6 5
7 0
8 2
9 0
10 2
11 6
12 9
13 8
14 23
15
A MMDBM classifier with CPU and CUDA GPU computing in various sorting procedures.
10
16 9
17 1
18
NEIGHBORHOOD CONNECTED EQUITABLE EDGE DOMINATION IN GRAPHS
0
19
INVERSE EQUITABLE DOMINATION IN GRAPHS
1
20 317

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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