S. Abirami

1.2k citations
66 papers · 573 indexed · h-index 11
Topics
Handwritten Text Recognition Techniques (9 papers)Video Surveillance and Tracking Methods (7 papers)Advanced Image and Video Retrieval Techniques (7 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access

In The Last Decade

S. Abirami

56 papers receiving 514 citations

Peers

S. Abirami
Comparison fields: 5 of 109
  • Artificial Intelligence 218
  • Computer Vision and Pattern Recognition 217
  • Information Systems 111
  • Media Technology 79
  • Electrical and Electronic Engineering 44
Replace Atul Patel with:
Atul Patel India
Chenguang Wang China
Jafar Tanha Iran
Ala Abdulsalam Alarood Saudi Arabia
Mohammad Khalid Imam Rahmani Saudi Arabia
Abdulaziz S. Almazyad Saudi Arabia
Soumi Ghosh India
Bibudhendu Pati India
Sunil L. Bangare India
Hassan Ouajji Morocco
S. Abirami relative to Atul Patel India Atul Patel's profile →
Citations per field
00.5×1.5×2.3×
Atul Patel · 1×
Citations per year

Countries citing papers authored by S. Abirami

Since Specialization
Citations

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

Fields of papers citing papers by S. Abirami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Abirami. A scholar is included among the top collaborators of S. Abirami 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. Abirami. S. Abirami 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 1
2 0
3 1
4 3
5 3
6 0
7 10
8 2
9 0
10 1
11 14
12 8
13 3
14 118
15
Performance Enhanced Iterative Soft-Input Soft-Output Decoding Algorithms for Block Turbo Codes
1
16
Feature Extraction of Face Value Through Gray- Level Co-Occurence Matrix
1
17 1
18
Comparison of Conventional Controller withModel Predictive Controller for CSTR Process
1
19 1
20 77

About S. Abirami

S. Abirami is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Neurology, having authored 66 papers that have together received 573 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (9 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Media Technology (79 citations) and Artificial Intelligence (218 citations). S. Abirami has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Ashok Kumar J, R. Baskaran, G. K. D. Prasanna Venkatesan, D. Manjula, N Aishwarya, R. Amutha, Sandeep Bala, R. Meenakumari, S. Abinaya and P. T. Vanathi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

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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