M. Adimoolam

538 citations
26 papers · 232 · h-index 9

Impact in

Papers in

M. Adimoolam

24 papers receiving 218 citations

Peers

M. Adimoolam
Comparison fields: 5 of 67
  • Periodontics 19
  • Health Information Management 15
  • Computer Vision and Pattern Recognition 51
  • Artificial Intelligence 78
  • Computer Networks and Communications 51
Replace M. Lakshmi with:
M. Lakshmi India
Mohammed Al-Shabi Saudi Arabia
Khalid K. Almuzaini Saudi Arabia
R. Saravanan India
R. Sabitha India
Kiran Sree Pokkuluri India
Bharti Nagpal India
P. Vidya Sagar India
Yogita Gigras India
Syed Jawad Hussain Pakistan
M. Adimoolam relative to M. Lakshmi India M. Lakshmi's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Adimoolam

Since Specialization
Citations

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

Fields of papers citing papers by M. Adimoolam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside M. Adimoolam, 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. Adimoolam Line = papers co-authored together M. Adimoolam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202143
2 202233
3 202132
4 202217
5 202216
6 202112
7 202212
8 202210
9 20218
10 20147
11 20226
12 20224
13 20224
14 20204
15 20244
16 20224
17 20243
18 20193
19 20223
20 20213

About M. Adimoolam

M. Adimoolam is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Periodontics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 26 papers that have together received 232 indexed citations. Recurring topics across this work include Scientific and Engineering Research Topics (7 papers), COVID-19 diagnosis using AI (6 papers), Spam and Phishing Detection (5 papers), Smart Agriculture and AI (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Chaos-based Image/Signal Encryption (3 papers), Network Security and Intrusion Detection (3 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Periodontics (19 citations), Health Information Management (15 citations), Computer Vision and Pattern Recognition (51 citations), Artificial Intelligence (78 citations) and Computer Networks and Communications (51 citations). M. Adimoolam has collaborated with scholars based in India, Thailand and United Kingdom. Frequent co-authors include A John, Senthilkumar Mohan, M. Balamurugan, Ali Ahmadian, Ali Kashif Bashir, Louis Sanzogni, Ahed Abugabah, Aliza Sarlan, Thippa Reddy Gadekallu and Weizheng Wang. Their work appears in journals such as Electronics, Computer Standards & Interfaces, Software Practice and Experience, Journal of Ambient Intelligence and Humanized Computing and Sensors.

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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