Sanjeevi Pandiyan

551 citations
20 papers · 342 indexed · h-index 9
Topics
Computational Drug Discovery Methods (5 papers)IoT and Edge/Fog Computing (3 papers)Smart Agriculture and AI (3 papers)
Partner nations
ChinaIndiaUnited States

In The Last Decade

Sanjeevi Pandiyan

19 papers receiving 312 citations

Peers

Sanjeevi Pandiyan
Comparison fields: 5 of 107
  • Oncology 68
  • Artificial Intelligence 64
  • Control and Systems Engineering 50
  • Information Systems 42
  • Electrical and Electronic Engineering 41
Replace Surendra Kumar Shukla with:
Surendra Kumar Shukla India
Chandrabose Aravindan India
Hamed Tabrizchi Iran
Yi Dong China
Angélica González Arrieta Spain
Yuting Wang China
Nitin Pise India
Nuno Lourenço Portugal
Lishuang Li China
Mohamed Abdel-Baset Egypt
Sanjeevi Pandiyan relative to Surendra Kumar Shukla India Surendra Kumar Shukla's profile →
Citations per field
00.5×10×15×20×23.5×
Surendra Kumar Shukla · 1×
Citations per year

Countries citing papers authored by Sanjeevi Pandiyan

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeevi Pandiyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjeevi Pandiyan

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeevi Pandiyan. A scholar is included among the top collaborators of Sanjeevi Pandiyan 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 Sanjeevi Pandiyan. Sanjeevi Pandiyan 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 7
4 6
5 30
6 6
7 3
8 13
9 12
10 3
11 2
12 25
13 28
14 20
15 117
16 3
17 19
18 36
19 5
20
A Survey on Various Problems and Techniques for Optimizing Energy Efficiency in Cloud Architecture
5

About Sanjeevi Pandiyan

Sanjeevi Pandiyan is a scholar working on Computational Theory and Mathematics, Information Systems and Computer Networks and Communications, having authored 20 papers that have together received 342 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), IoT and Edge/Fog Computing (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Health Informatics (5 citations), Computational Theory and Mathematics (40 citations) and Oncology (68 citations). Sanjeevi Pandiyan has collaborated with scholars based in China, India and United States. Frequent co-authors include B. Saravana Balaji, Li Wang, S. T. Suganthi, V. Krishna Kumar, Anand Nayyar, M. Prabhu, M. Ashwin, Nabaz Nawzad Abdullah, Gurusamy Saravanakumar and R. Murugesan. Their work appears in journals such as IEEE Access, Energies and Briefings in Bioinformatics.

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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