M. Sasikumar

924 citations
46 papers · 680 · h-index 17

Impact in

Papers in

M. Sasikumar

44 papers receiving 646 citations

Peers

M. Sasikumar
Comparison fields: 5 of 77
  • Automotive Engineering 104
  • Computer Vision and Pattern Recognition 149
  • Polymers and Plastics 96
  • Electronic, Optical and Magnetic Materials 106
  • Renewable Energy, Sustainability and the Environment 88
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Citations per field
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Citations per year

Countries citing papers authored by M. Sasikumar

Since Specialization
Citations

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

Fields of papers citing papers by M. Sasikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Sasikumar, 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. Sasikumar Line = papers co-authored together M. Sasikumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200871
2 201859
3
Simple Syntactic and Morphological Processing Can Help English-Hindi Statistical Machine Translation.
200856
4 202139
5 201836
6 201835
7
Survey of Medical Image Watermarking Algorithms
200730
8 202128
9 202127
10 201927
11 201826
12 202023
13 202221
14 202320
15 201919
16 202119
17 202417
18 201812
19 201112
20 202212

About M. Sasikumar

M. Sasikumar is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry, Biomedical Engineering and Automotive Engineering, having authored 46 papers that have together received 680 indexed citations. Recurring topics across this work include Supercapacitor Materials and Fabrication (9 papers), Advancements in Battery Materials (8 papers), Advanced Battery Materials and Technologies (7 papers), Advanced Battery Technologies Research (6 papers), Conducting polymers and applications (4 papers), Advanced battery technologies research (4 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Automotive Engineering (104 citations), Computer Vision and Pattern Recognition (149 citations), Polymers and Plastics (96 citations), Electronic, Optical and Magnetic Materials (106 citations) and Renewable Energy, Sustainability and the Environment (88 citations). M. Sasikumar has collaborated with scholars based in India, South Korea and Chile. Frequent co-authors include R. Hari Krishna, P. Sivakumar, M. Raja, Ritesh Shah, Pushpak Bhattacharyya, S. Rajendran, A. Sakunthala, Helen Annal Therese, M.N. Chandraprabha and Prasanth Raghavan. Their work appears in journals such as Journal of Materials Science Materials in Electronics, Applied Surface Science Advances, Ionics, Materials Research Express and Journal of Alloys and Compounds.

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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