M. Punithavalli

694 total citations
71 papers, 374 citations indexed

About

M. Punithavalli is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Punithavalli has authored 71 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 21 papers in Information Systems and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Punithavalli's work include Data Mining Algorithms and Applications (14 papers), Advanced Clustering Algorithms Research (12 papers) and Face and Expression Recognition (9 papers). M. Punithavalli is often cited by papers focused on Data Mining Algorithms and Applications (14 papers), Advanced Clustering Algorithms Research (12 papers) and Face and Expression Recognition (9 papers). M. Punithavalli collaborates with scholars based in India and Ireland. M. Punithavalli's co-authors include S. Punitha, K. Anandakumar, Amar Nath Sharma, K. Maheswari, S. Vijayalakshmi, V. Kavitha, Sri Ramakrishna, Ramapurath S. Jayasree, N. Geetha and R. Manikandan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Multimedia Tools and Applications.

In The Last Decade

M. Punithavalli

60 papers receiving 325 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. Punithavalli India 10 139 96 81 58 56 71 374
Parvinder Singh India 11 82 0.6× 79 0.8× 148 1.8× 102 1.8× 30 0.5× 60 493
Bobby D. Gerardo Philippines 13 210 1.5× 119 1.2× 332 4.1× 150 2.6× 20 0.4× 105 797
Nikolaos Antonopoulos Greece 14 81 0.6× 299 3.1× 189 2.3× 94 1.6× 16 0.3× 35 635
Zhanfang Chen China 10 71 0.5× 77 0.8× 47 0.6× 21 0.4× 29 0.5× 27 336
Yajun Yang China 12 100 0.7× 64 0.7× 120 1.5× 69 1.2× 236 4.2× 38 556
Hyuk Cho United States 9 180 1.3× 75 0.8× 27 0.3× 105 1.8× 207 3.7× 33 512
Aditi Raghunathan United States 9 330 2.4× 20 0.2× 38 0.5× 83 1.4× 66 1.2× 19 423
Shuchang Liu China 13 399 2.9× 408 4.3× 133 1.6× 91 1.6× 102 1.8× 30 694
Kui Fang China 12 73 0.5× 61 0.6× 90 1.1× 35 0.6× 85 1.5× 39 420
Masato Uchida Japan 11 127 0.9× 40 0.4× 113 1.4× 25 0.4× 61 1.1× 102 626

Countries citing papers authored by M. Punithavalli

Since Specialization
Citations

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

Fields of papers citing papers by M. Punithavalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Punithavalli

This figure shows the co-authorship network connecting the top 25 collaborators of M. Punithavalli. A scholar is included among the top collaborators of M. Punithavalli 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. Punithavalli. M. Punithavalli 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.
Punithavalli, M., et al.. (2024). Leveraging feature subset selection with deer hunting optimizer based deep learning for anomaly detection in secure cloud environment. Multimedia Tools and Applications. 83(25). 65949–65966. 2 indexed citations
2.
Punithavalli, M., et al.. (2023). Evolutionary Optimization Algorithm with Deep Echo State Network for Anomaly Detection on Secure Cloud Computing Environment. International Journal of Electrical and Electronics Engineering. 10(4). 46–56. 1 indexed citations
3.
Manikandan, R., et al.. (2021). CLASSIFICATION OF CERVICAL CANCER IN WOMEN USING CONVOLUTIONAL NEURAL NETWORK. SHILAP Revista de lepidopterología. 11(4). 2470–2474. 2 indexed citations
4.
Punithavalli, M., et al.. (2019). An Efficient Data Mining Techniques - Multi-Objective KNN Algorithm to Predict Breast Cancer. International Journal of Recent Technology and Engineering (IJRTE). 8(2S8). 986–990. 1 indexed citations
5.
Punithavalli, M., et al.. (2015). A Novel Distinguishability Based Weighted Feature Selection Algorithms for Improved Classification of Gene Microarray Dataset. Journal of Computer Science. 11(2). 443–452. 1 indexed citations
6.
Punithavalli, M., et al.. (2014). An Efficient Fingerprint Based Gender Classification System Using Dominant Un-decimated Wavelet Coefficients. Research Journal of Applied Sciences Engineering and Technology. 8(10). 1259–1265. 6 indexed citations
7.
Punithavalli, M., et al.. (2014). Impact of Rice Genotypes on the Developmental Characteristics of Rice Leaf Folder, Cnaphalocrocis medinalis. Indian journal of plant protection. 42(1). 38–43. 5 indexed citations
8.
Punithavalli, M., et al.. (2014). Wavelets and Gaussian mixture model approach for gender classification using fingerprints. 522–525. 1 indexed citations
9.
Maheswari, K. & M. Punithavalli. (2013). AN IMPROVED PACKET LOSS RECOVERY IN VOIP USING COMBINED SOURCE AND RECEIVER BASED TECHNIQUE. 3 indexed citations
10.
11.
Punithavalli, M., et al.. (2012). Reliable Broadcasting Using Efficient Forward Node Selection for Mobile Ad-Hoc Networks. The International Arab Journal of Information Technology. 9. 299–305. 7 indexed citations
12.
Maheswari, K. & M. Punithavalli. (2011). An Implementation of Security in VoIP using Modified Shamir‟s Secret Sharing Algorithm. 3(13). 864–868. 1 indexed citations
13.
Punithavalli, M., et al.. (2011). Influence of Rice Leaf Morphology on the Folding Characteristics of Rice Leaf Folder, Cnaphalocrocis medinalis. Indian journal of plant protection. 39(2). 93–99. 8 indexed citations
14.
Punithavalli, M., et al.. (2011). Field evaluation of botanicals against, Cnaphalocrocis medinalis and effects on natural enemies in Rice.. Annals of Plant Protection Sciences. 19(1). 221–222.
15.
Punithavalli, M., et al.. (2010). Machine Learning Approach for Object Detection - A Survey Approach. 8(7). 67–71. 1 indexed citations
16.
Punithavalli, M., et al.. (2010). LSB and DCT Based Steganography in Safe Message Routing and Delivery for Structured Peer-To-Peer Systems. 2(9). 365–369. 1 indexed citations
17.
Punithavalli, M., et al.. (2010). A Survey on Clustering Algorithms. 2(2). 28–32. 5 indexed citations
18.
Punitha, S., et al.. (2010). Document Clustering using Linear Partitioning and Reallocation using EM Algorithm. 9(5). 1 indexed citations
19.
Punithavalli, M., et al.. (2009). On Fractal Dimension Estimation Methods. 1(6). 226–230. 1 indexed citations
20.
Punithavalli, M., et al.. (2009). A Survey on Data Clustering Algorithms. 1(8). 421–425. 3 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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