M. Adimoolam

538 total citations
26 papers, 232 citations indexed

About

M. Adimoolam is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Periodontics. According to data from OpenAlex, M. Adimoolam has authored 26 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Periodontics. Recurrent topics in M. Adimoolam's work include Scientific and Engineering Research Topics (7 papers), COVID-19 diagnosis using AI (6 papers) and Spam and Phishing Detection (5 papers). M. Adimoolam is often cited by papers focused on Scientific and Engineering Research Topics (7 papers), COVID-19 diagnosis using AI (6 papers) and Spam and Phishing Detection (5 papers). M. Adimoolam collaborates with scholars based in India, Thailand and Malaysia. M. Adimoolam's co-authors include A John, Senthilkumar Mohan, M. Balamurugan, Ali Ahmadian, Louis Sanzogni, Aliza Sarlan, Ali Kashif Bashir, Ahed Abugabah, Weizheng Wang and Thippa Reddy Gadekallu and has published in prestigious journals such as Sensors, Electronics and Sustainable Energy Technologies and Assessments.

In The Last Decade

M. Adimoolam

24 papers receiving 218 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Adimoolam India 9 78 51 51 42 38 26 232
Mohammed Al-Shabi Saudi Arabia 9 124 1.6× 91 1.8× 58 1.1× 12 0.3× 84 2.2× 24 291
E. Kannan India 9 72 0.9× 67 1.3× 26 0.5× 30 0.7× 49 1.3× 55 281
M. Kavitha India 8 175 2.2× 47 0.9× 23 0.5× 47 1.1× 45 1.2× 49 449
Krishnamoorthi Makkithaya India 10 69 0.9× 101 2.0× 54 1.1× 42 1.0× 76 2.0× 35 335
Tonglai Liu China 9 50 0.6× 45 0.9× 40 0.8× 26 0.6× 61 1.6× 41 287
Majed Alsafyani Saudi Arabia 9 84 1.1× 44 0.9× 37 0.7× 11 0.3× 43 1.1× 29 241
R. Krishnamoorthy India 7 46 0.6× 31 0.6× 71 1.4× 20 0.5× 64 1.7× 46 294
R Mahaveerakannan India 7 39 0.5× 49 1.0× 34 0.7× 14 0.3× 30 0.8× 80 192
Kireet Joshi India 8 39 0.5× 20 0.4× 36 0.7× 61 1.5× 31 0.8× 73 241
T. Poongodi India 8 69 0.9× 94 1.8× 28 0.5× 15 0.4× 34 0.9× 28 265

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-authorship network of co-authors of M. Adimoolam

This figure shows the co-authorship network connecting the top 25 collaborators of M. Adimoolam. A scholar is included among the top collaborators of M. Adimoolam 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 M. Adimoolam. M. Adimoolam 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
1.
Adimoolam, M., et al.. (2024). Efficient plant leaf disease detection using support vector machine algorithm and compare its features with Naive Bayes classification. AIP conference proceedings. 2729. 60015–60015. 3 indexed citations
2.
Adimoolam, M., M. Balamurugan, Raj Rajkumar, et al.. (2024). Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System. Intelligent Automation & Soft Computing. 39(1). 33–55. 4 indexed citations
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Adimoolam, M., et al.. (2022). Fake News Detection System using Logistic Regression and Compare Textual Property with Support Vector Machine Algorithm. 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). 48–53. 6 indexed citations
7.
Adimoolam, M., et al.. (2022). Linear Regression Algorithm Based Price Prediction of Car and Accuracy Comparison with Support Vector Machine Algorithm. ECS Transactions. 107(1). 12953–12964. 4 indexed citations
8.
Balamurugan, M., et al.. (2022). Stage-Wise Categorization and Prediction of Diabetic Retinopathy Using Ensemble Learning and 2D-CNN. Intelligent Automation & Soft Computing. 36(1). 499–514. 4 indexed citations
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Adimoolam, M., Senthilkumar Mohan, A John, & Gautam Srivastava. (2022). A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems.. International Journal of Interactive Multimedia and Artificial Intelligence. 7(4). 112–120. 16 indexed citations
11.
Balamurugan, M., Senthilkumar Mohan, M. Adimoolam, et al.. (2021). DOA tracking for seamless connectivity in beamformed IoT-based drones. Computer Standards & Interfaces. 79. 103564–103564. 32 indexed citations
12.
Balamurugan, M., et al.. (2021). A novel efficient algorithm for duplicate video comparison in surveillance video storage systems. Journal of Ambient Intelligence and Humanized Computing. 8 indexed citations
13.
Adimoolam, M., et al.. (2021). A hybrid learning approach for the stage‐wise classification and prediction of COVID‐19 X‐ray images. Expert Systems. 39(4). 12 indexed citations
14.
Mohan, Senthilkumar, A John, Ahed Abugabah, et al.. (2021). An approach to forecast impact of Covid‐19 using supervised machine learning model. Software Practice and Experience. 52(4). 824–840. 43 indexed citations
15.
Adimoolam, M., et al.. (2020). Twitter Data Sentimental Analysis Using Multiple Classifications. Journal of Computational and Theoretical Nanoscience. 17(8). 3776–3781. 4 indexed citations
16.
Adimoolam, M., et al.. (2019). Car Parking And Reservation System Using Iot And Cloud. International journal of scientific and technology research. 8(12). 246–249. 1 indexed citations
17.
John, A, et al.. (2019). Prediction Strategies of Stock Market Data Using Deep Learning Algorithm. Recent Advances in Computer Science and Communications. 14(6). 1852–1859. 3 indexed citations
18.
Adimoolam, M., et al.. (2014). Secure cloud storage model with hidden policy attribute based access control. 2010. 1–6. 7 indexed citations
19.
Adimoolam, M., et al.. (2013). Anti-Piracy for movies using Forensic Watermarking. International Journal of Computer Applications. 63(4). 26–32. 1 indexed citations
20.
Adimoolam, M., et al.. (2009). Authorship Protection for Textual Documents. 2195. 742–745. 1 indexed citations

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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