S. Neelakandan

4.0k citations
75 papers · 2.5k indexed · h-index 30
Topics
IoT and Edge/Fog Computing (10 papers)Blockchain Technology Applications and Security (7 papers)Face and Expression Recognition (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

S. Neelakandan

73 papers receiving 2.3k citations

Peers

S. Neelakandan
Comparison fields: 5 of 140
  • Computer Networks and Communications 754
  • Artificial Intelligence 743
  • Electrical and Electronic Engineering 519
  • Information Systems 448
  • Computer Vision and Pattern Recognition 360
Replace Ashutosh Sharma with:
Ashutosh Sharma India
Youseef Alotaibi Saudi Arabia
M. Prakash India
Ahmed Alkhayyat Iraq
Muhammad Faheem Pakistan
Shalli Rani India
Osamah Ibrahim Khalaf Iraq
Basit Raza Pakistan
Aman Singh India
Rajesh Kaluri India
S. Neelakandan relative to Ashutosh Sharma India Ashutosh Sharma's profile →
Citations per field
00.5×1.7×
Ashutosh Sharma · 1×
Citations per year

Countries citing papers authored by S. Neelakandan

Since Specialization
Citations

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

Fields of papers citing papers by S. Neelakandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Neelakandan. A scholar is included among the top collaborators of S. Neelakandan 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. Neelakandan. S. Neelakandan 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 26
2 3
3 7
4 41
5 15
6 9
7 9
8 3
9 0
10 10
11 57
12 7
13 7
14 36
15 34
16 184
17 3
18
Decentralized Access Control of Data in Cloud Services using Key Policy Attribute Based Encryption
5
19
Efficient Multicasting in MANET Using RSGM Technique
1
20
An Efficient Cache Consistency Scheme in Mobile Networks
3

About S. Neelakandan

S. Neelakandan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Blockchain Technology Applications and Security (7 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Computer Networks and Communications (754 citations), Artificial Intelligence (743 citations) and Health Information Management (104 citations). S. Neelakandan has collaborated with scholars based in India, Saudi Arabia and Ethiopia. Frequent co-authors include M. Prakash, D. Paulraj, Saleh Alghamdi, Youseef Alotaibi, B. T. Geetha, Osamah Ibrahim Khalaf, L. Natrayan, J. Rene Beulah, N. Arulkumar and Deepak Kumar Jain. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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