M. Malathi

46 papers receiving 434 citations

Peers

M. Malathi
Comparison fields: 5 of 96
  • Biotechnology 36
  • Spectroscopy 66
  • Bioengineering 19
  • Computer Networks and Communications 75
  • Information Systems 56
Replace Victor Schultz with:
Victor Schultz United States
Jinshan Chen China
Chenggang Song China
Yurong Hu China
Chonghao Chen China
João P. Sousa Portugal
Vipin Saxena India
Didi Liu China
Tiantian Liu China
Manisha Singh India
M. Malathi relative to Victor Schultz United States Victor Schultz's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Malathi

Since Specialization
Citations

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

Fields of papers citing papers by M. Malathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201173
2 201551
3 201743
4 202128
5 201825
6 200923
7 201721
8 200720
9 202117
10 202017
11 201612
12 202111
13 20179
14 20158
15 20178
16 20167
17 20047
18 20107
19 20166
20 20135

About M. Malathi

M. Malathi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Organic Chemistry, Biomedical Engineering and Oncology, having authored 51 papers that have together received 463 indexed citations. Recurring topics across this work include Synthesis and biological activity (5 papers), Low-power high-performance VLSI design (4 papers), Analog and Mixed-Signal Circuit Design (4 papers), Magnetic properties of thin films (4 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Mobile Ad Hoc Networks (3 papers), Molecular Sensors and Ion Detection (3 papers) and Quantum and electron transport phenomena (2 papers). The work is most often cited by research in Biotechnology (36 citations), Spectroscopy (66 citations), Bioengineering (19 citations), Computer Networks and Communications (75 citations) and Information Systems (56 citations). M. Malathi has collaborated with scholars based in India, Malaysia and United States. Frequent co-authors include Chidambaram Kulandaisamy Venil, Ponnuswamy Renuka Devi, Palathurai Subramaniam Mohan, Palanivel Velmurugan, R. Shankar, Wan Azlina Ahmad, R. Usha, Jayakumar Rajarajeswaran, Ray J. Butcher and Abdull Rahim Mohd Yusoff. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Applied Surface Science, Journal of Applied Microbiology, Canadian Journal of Chemistry and Wireless Personal Communications.

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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