M. Radha

430 citations
4 papers · 294 · h-index 3

Impact in

    • Medical Image Segmentation Techniques
    • Image and Object Detection Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Neural Network Applications
    • Image Processing Techniques and Applications

Papers in

Journals
Journal of Intelligent Systems (1 paper)International Journal on Recent and Innovation Trends in Computing and Communication (1 paper)International Journal of Computer Science and Information Technology (1 paper)
Partner nations
IndiaSweden

In The Last Decade

M. Radha

4 papers receiving 236 citations

Peers

M. Radha
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 183
  • Media Technology 53
  • Industrial and Manufacturing Engineering 27
  • Neurology 20
  • Artificial Intelligence 46
Replace Wenshuo Gao with:
Wenshuo Gao China
Rafikha Aliana A. Raof Malaysia
Yurong Guo China
Brett Koonce
Guozhong Luo China
Philomina Simon India
Pavan Kumar Anasosalu Vasu United States
P. Deepa India
Meenakshi M. Pawar India
M. Radha relative to Wenshuo Gao China Wenshuo Gao's profile →
Citations per field
00.5×1.5×2.5×
Wenshuo Gao · 1×
Citations per year

Countries citing papers authored by M. Radha

Since Specialization
Citations

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

Fields of papers citing papers by M. Radha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside M. Radha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Radha Line = papers co-authored together M. Radha links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 2011288
2 20233
3 20182
4 20251

About M. Radha

M. Radha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Automotive Engineering and Signal Processing, having authored 4 papers that have together received 294 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (2 papers), Image and Object Detection Techniques (1 paper), Machine Learning and Algorithms (1 paper), Vehicle emissions and performance (1 paper), Vehicle Dynamics and Control Systems (1 paper), Image Retrieval and Classification Techniques (1 paper), Medical Image Segmentation Techniques (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (183 citations), Media Technology (53 citations), Industrial and Manufacturing Engineering (27 citations), Neurology (20 citations) and Artificial Intelligence (46 citations). M. Radha has collaborated with scholars based in India and Sweden. Frequent co-authors include R Muthukrishnan and Naveen Venkatesh Sridharan. Their work appears in journals such as Journal of Intelligent Systems, International Journal on Recent and Innovation Trends in Computing and Communication and International Journal of Computer Science and Information Technology.

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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