M. S. Rajasree

460 citations
27 papers · 251 indexed · h-index 10
Topics
Handwritten Text Recognition Techniques (8 papers)Distributed and Parallel Computing Systems (7 papers)Cloud Computing and Resource Management (7 papers)
Partner nations
India

In The Last Decade

M. S. Rajasree

24 papers receiving 200 citations

Peers

M. S. Rajasree
Comparison fields: 5 of 40
  • Information Systems 116
  • Computer Vision and Pattern Recognition 114
  • Computer Networks and Communications 86
  • Media Technology 78
  • Artificial Intelligence 74
Replace Gabriel Bugár with:
Gabriel Bugár Slovakia
Hrushikesha Mohanty India
Aziz Qaroush Palestinian Territory
Surinder Singh Khurana India
Azizah Abd Manaf Malaysia
Sangoh Jeong United States
H. Alvestrand United States
Hidenori Nakazato Japan
Miika Komu Finland
Jawad Hasan Alkhateeb Saudi Arabia
M. S. Rajasree relative to Gabriel Bugár Slovakia Gabriel Bugár's profile →
Citations per field
00.5×2.9×
Gabriel Bugár · 1×
Citations per year

Countries citing papers authored by M. S. Rajasree

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Rajasree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. S. Rajasree

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Rajasree. A scholar is included among the top collaborators of M. S. Rajasree 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 M. S. Rajasree. M. S. Rajasree 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 2
2 0
3 2
4 8
5 4
6 11
7
Resource Provisioning and Management for IaaS Providers in Cloud Computing
2
8 1
9 3
10
A Wavelet Based Recognition System for Printed Malayalam Characters
0
11 1
12 7
13 14
14 14
15 25
16 3
17 21
18 17
19 10
20 5

About M. S. Rajasree

M. S. Rajasree is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 27 papers that have together received 251 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (8 papers), Distributed and Parallel Computing Systems (7 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Media Technology (78 citations), Computer Vision and Pattern Recognition (114 citations) and Information Systems (116 citations). M. S. Rajasree has collaborated with scholars based in India. Frequent co-authors include D. Janakiram, D. Janaki Ram, S Remya, Santanu Sarkar and R. Anitha. Their work appears in journals such as Scientific Reports, Journal of Intelligent & Fuzzy Systems and Journal of Systems Architecture.

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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