| Author(s) | Title of Paper | Journal | Volume (No.) | Page no. | Year | doi | Impact Factor | 
		
			| M.Chandrasekaran,P.Asokan,S.Kumanan,T.Balamurugan,S.Nickolas | Solving job shop scheduling problems using Artificial Immune System | International Journal of Advanced Manufacturing Technology | Vol.31 | 580 - 593 | 2006 | https://doi.org/10.1007/s00170-005-0226-3 | 3.226 | 
		
			| S.Nickolas C.S.P.Rao, A.V.Reddy and P Asokan | Performance Enhancement of Flow Shop Scheduling using Data Mining | Journal of Advanced Manufacturing Technology, CMTI | Vol.6, No.8 | 17-23 | 2007 |  | 3.320 | 
		
			| Sarojini,B, Ramaraj,NNickolas, S. | Feature Selection Using F-Score on Classification of TYPE II Diabetes DB | Journal of Advanced Research in Computer Engineering | Vol 3, No. 1 | 1-6 | 2009 | https://doi.org/10.1145/1858378.1858391 |  | 
		
			| Ilango, P, Hemalatha, T. Nickolas, S. | A Semi Supervised Clustering by λ_cut for Imputation of missing Data in TYPE II Diabetes Databases | Indian Journal of Medical Informatics | Vol 4, No. 1 |  | 2009 |  | 4.04 | 
		
			| Ilango, P, Hemalatha, T. Nickolas, S., Poonkuntran Shanmugam, | Imputation of Missing Data :A Semi Supervised Clustering Methodology | Journal of information Science and Technology | Vol 6, No. 3 | 38-55 | 2009 |  |  | 
		
			| Sarojini, B, Ramaraj,N, Nickolas, S. | Feature Subset Selection using Nomogram in TYPE II Diabetes Databases | Indian Journal Of Medical Informatics | Vol 4, No. 1 | 1-5 | 2009 | 4.046 |  | 
		
			| N.Gayatri, S.Nickolas, A.V.Reddy | Performance Analysis and Enhancement of Software Quality Metrics using Decision Tree based Feature Extraction | International journal of Recent Trends in Engineering | Vol 2, No. 4 | 54-56 | 2009 | https://doi.org/10.1109/ARTCom.2009.12 | 4.490 | 
		
			| R.Chithra, S.Nickolas | A Novel Algorithm for Mining Hybrid- Dimensional AssociationRules | International journal of Computer Applications | Vol 2, No. 16 | 62-69 | 2010 | https://doi.org/10.5120/342-521 | 3.12 | 
		
			| R.Chithra, S.Nickolas | Partition Based High Utility Itemset Mining | Intl. J. of Decision Making in Supply Chain and Logistics | Vol 1, No. 2 | 153- 165 | 2010 |  | 5.6 | 
		
			| R.Eswari, S.Nickolas | A Level-wise Priority Based Task Scheduling for Heterogeneous Systems | Intl. J. of Information and Education Technology | Vol.1, No.5 | 371- 376 | 2011 | https://doi.org/10.7763/ijiet.2011.v1.60 | 1,11 | 
		
			| R.Chithra, S.Nickolas | HUPT-Mine : An efficient algorithm for high utility pattern mining | Intl. J. of Business and Systems Research | Vol.6, No.3 | 279- 275 | 2012 | https://doi.org/10.1504/ijbsr.2012.047927 | 0.62 | 
		
			| R.Eswari, S.Nickolas | Efficient Task Scheduling for Heterogeneous Distributed Systems using Firefly Algorithm | Intl. J. of Computer Science and Engineering | Vol. 11, No. 2 | 132- 142 | 2015 | https://doi.org/10.1504/ijcse.2015.071877 | 1.316 | 
		
			| S.Karthikeyan, P.Asokan, S.Nickolas, | Solving Flexible Job Shop Scheduling Problems with a hybrid PSO Algorithm and Data Mining-An Attribute oriented approach | Intl. J.of Manufacturing Technology and Management | Vol. 26, No.1/ 2/3/4 | 81- 103 | 2012 | https://doi.org/10.1504/ijmtm.2012.051445 | 0.42 | 
		
			| Anandkumar P. S.Nickolas | Significance of One-Class Classification in Outlier Detection | International Journal of Computational Intelligence and Information Security IJCIIS | Vol. 4, No. 6 | 4-14 | 2013 |  |  | 
		
			| S.Karthikeyan, P.Asokan, S.Nickolas | A hybrid discrete firefly algorithm for multi-objective flexible job shop scheduling problem with limited resource constraints | The International Journal of Advanced Manufacturing Technology | Vol. 72, No. 9 | 1567- 1579 | 2014 |  | 3.2268 | 
		
			| N.Gayatri, S.Nickolas, A.V.Reddy | A Frame Work for Business Defect Predictions in Mobiles | International Journal of Computer Applications | Vol.81 , No. 1 | 39-44 | 2013 | https://doi.org/10.5120/13979-1975 | 3.12 | 
		
			| R.Eswari, S.Nickolas, Michael Arock | A path priority- based task scheduling algorithm for herterogenous distributed systems | Int.J.Communication Networks and Distributed Systems | Vol. 12, No. 2 | 183- 201 | 2014 | https://doi.org/10.1504/ijcnds.2014.059437 | 1.54 | 
		
			| R.Eswari, S.Nickolas | Effective task scheduling for heterogeneous distributed systems using firefly algorithm | International Journal of Computational Science and Engineering | Vol 11,No . 2 | 132- 142 | 2015 | https://doi.org/10.1504/ijcse.2015.071877 | 1.316 | 
		
			| Anandkumar P. Nickolas , S. | Metaheuristic algorithms and probabilistic behaviour: a comprehensive analysis of Ant Colony Optimization and its variants | Artificial Intelligence Review | Vol. 45, No. 1 | 97- 130 | 2016 | https://doi.org/10.1007/s10462-015-9441-y | 8.139 | 
		
			| Ilango, P, Hemalatha,T. Nickolas, S. | Imputation of Missing Data Using Weight Based Clustering in type II diabetes Databases | Journal of Advanced Research in Computer Engineering | Vol. 3, No. 1 | 99- 104 | 2009 |  |  | 
		
			| Arish Pitchai, AV Reddy, Nickolas S. | Fuzzy based Quantum Genetic Algorithm for Project Team Formation | International Journal of Intelligent Information Technologies | Vol. 12, No. 1 | 31-46 | 2016 |  |  | 
		
			| Thiruselvan S, Nickolas S. | Application based brokering algorithm for optimal resource provision- ing in multiple | Vietnam Journal of Computer Science | Vol. 3, No. 1 | 57-70 | 2016 | https://doi.org/10.4018/IJIIT.2016010102 | 1.44 | 
		
			| Thiruselvan S, Nickolas S. | Cloud service evaluation and selection using fuzzy hybrid MCDM approach in | International Journal of Fuzzy System Applications | Vol. 2, No. 8 | 118- 153 | 2016 | https://doi.org/10.4018/IJFSA.2016040108 | 0.93 | 
		
			| S Karthikeyan, P Asokan, S Nickolas, Tom Page | A hybrid discrete firefly algorithm for solving multi- objective flexible job shop scheduling problems | International Journal of Bio- Inspired Computation | Vol. 7, No. 6 | 386- 401 | 2015 | https://doi.org/10.1504/IJBIC.2015.073165 | 1.538 | 
		
			| R. Eswari, S. Nickolas | Modified Multi- Objective Firefly Algorithm for Task Scheduling Problem on Heterogeneous Systems | International Journal of Bio- Inspired Computation |  |  | 2016 | http://dx.doi.org/10.1504/IJBIC.2016.10002270 | 1.538 | 
		
			| Arish Pitchai, AV Reddy, Nickolas S. | Quantum walk algorithm to compute subgame perfect equilibrium in finitetwo-player sequentialgames | International Journal of Mathematical Sciences and Computing | Vol. 3, No. 1 | 32-40 | 2016 | http://dx.doi.org/10.5815/ijmsc.2016.03.03 | 0.71 | 
		
			| R. Subraja, S. Nickolas, P. Jayabalan, | Monitoring and control systems for resources in construction sites | Int.J. of Innovation Research in Science, Engineering and Technology | Vol.5, Special issue 9 | 53 - 58 | 2016 | http://dx.doi.org/10.15680/IJIRSET.2016.0505509 |  | 
		
			| K. Shobha, S. Nickolas | Analysis of importance of pre-processing in prediction of hypertension | CSI Transactions on ICT | Vol.6(2), | 209-214 | 2018 | http://dx.doi.org/10.1007/s40012-018-0197-9 |  | 
		
			| M. Ramla, S. Sangeetha, S. Nickolas | Machine Learning for High Risk Pregnancies Pre-Term Birth Prediction: A Retrospective | International Journal of Engineering & Technology | Vol.7 (2.22), | .5-8 | 2018 | http://dx.doi.org/10.14419/ijet.v7i2.22.11799 | 1.271 | 
		
			| Anandkumar Prakasam, Nickolas Savarimuthu | Novel local restart strategies with hyper-populated ant colonies for dynamic optimization problems | Neural Computing and Applications | Vol.31(Suppl 1):S63-S76 | S63-S76 | 2019 | https://doi.org/10.1007/s00521-018-3638-3 | 5.559 | 
		
			| C.I. Johnpaul, Munaga V.N.K. Prasad, S. Nickolas, G.R. Gangadharan | General representational automata using deep Neural Networks | Data & Knowledge Engineering | Vol.122 | pp.159-180 | 2019 | https://doi.org/10.1016/j.datak.2019.06.004 | 1,992 | 
		
			| P. Shanthi, S. Nickolas | Merged Local Neighborhood Difference Pattern for Facial Expression Recognition | International Journal of Innovative Technology and Exploring Engineering (IJITEE), | Volume-9 Issue-2 | 4133 - 4141 | 2019 | DOI: 10.35940/ijitee.B7461.129219 | 0.546 | 
		
			| S. Suseela,R. Eswari, S. Nickolas, and M. Saravanan | Poisson Based Energy Hole Prediction for Wireless Multimedia Sensor Networks | International Journal of Computational Intelligence & IoT | Vol. 2(3) | Vol. 2(3) | 2019 |  | 1.736 | 
		
			| P. Shanthi, S. Nickolas | An efficient automatic facial expression recognition using local neighborhood feature fusion | Multimedia Tools and Applications | Vol. 80 Issue 7 | 10187-10212 | 2020 | https://link.springer.com/article/10.1007/s11042-020-10105-2 | 2.757 | 
		
			| Silambarasan E, Nickolas S and Mary Saira Bhanu S | CECPABE: A novel approach for secure data deduplication in cloud | International Journal of Advance Science and Technology | Vol. 29, No. 10S | 7958-7971 | 2020 |  | 0.475 | 
		
			| Silambarasan Elkana Ebinazer, Nickolas Savarimuthu and S. Mary Saira Bhanu | ESKEA: Enhanced Symmetric Key Encryption Algorithm Based Secure Data Storage in Cloud Networks with Data Deduplication | Wireless Personal Communication | , Vol. 117 | 3309–3325 | 2020 | https://link.springer.com/article/10.1007/s11277-020-07989-6 |  | 
		
			| Silambarasan Elkana Ebinazer, Nickolas Savarimuthu and S. Mary Saira Bhanu | An efficient secure data deduplication method using radix trie with bloom filter (SDD-RT-BF) in cloud environment | Peer-to-Peer Networking and Applications | Vol. 14 Issue 4 | 2443-2451 | 2020 | https://link.springer.com/article/10.1007/s12083-020-00989-0 | 3.307 | 
		
			| Silambarasan Elkana Ebinazer, Nickolas Savarimuthu and S. Mary Saira Bhanu | A Hybrid Encryption for Secure Data Deduplication in Cloud | International Journal of Cloud Computing |  |  | 2020 |  | 1.06 | 
		
			| Sareena Rose, S. Nickolas, S.Sangeetha | A recursive ensemble-based feature selection for multi-output models to discover patterns among the soil nutrients | Chemometrics and Intelligent Laboratory Systems | Vol 208 |  | 2020 | https://doi.org/10.1016/j.chemolab.2020.104221 | 3.491 | 
		
			| C.I. Johnpaul, Munaga V.N.K. Prasad, S. Nickolas, G.R. Gangadharan | Trendlets: A novel probabilistic representational structures for clustering the time series data | Expert Systems WithApplications | Vol.145 | 113-119 | 2020 | https://doi.org/10.1016/j.eswa.2019.113119 | 8.665 | 
		
			| S. Suseela, R. Eswari, S. Nickolas, M. Saravanan | QoS optimization through PBMR algorithm in multipath wireless multimedia sensor networks | Peer-to-Peer Netw. Appl | Vol. 13 | 1248–1259 | 2020 | https://doi.org/10.1007/s12083-019-00853-w | 3.307 | 
		
			| K. Shobha, S. Nickolas | Clustering based imputation algorithm using unsupervised neural network for enhancing the quality of healthcare data | Journal of Ambient Intelligence and Humanized Computing | Vol.12 | 1771–1781 | 2021 | https://doi.org/10.1007/s12652-020-02250-1 | 7.104 | 
		
			| K. Shobha, S. Nickolas | An Unsupervised Neural Network Approach for Imputation of Missing Values in Univariate Time Series Data | Concurrency and Computation: Practice and Experience |  |  | 2021 | DOI:10.1002/cpe.6156 |  | 
		
			| C.I. Johnpaul, Munaga V.N.K. Prasad, S. Nickolas, G.R. Gangadharan | Representational primitives using trend based global features for time series classification | Expert Systems With Applications | Vol.167(11):114376, |  | 2021 | https://doi.org/10.1016/j.eswa.2020.114376 | 8.665 | 
		
			| C.I. Johnpaul, Munaga V.N.K. Prasad, S. Nickolas, G.R. Gangadharan | Fuzzy representational structures for trend based analysis of time series clustering and classification | Knowledge-Based Systems | Vol. 222(7):106991 |  | 2021 | https://doi.org/10.1016/j.knosys.2021.106991 | 8.139 | 
		
			| Kavitha lakshmi R, S. Nickolas | PLDD- A Deep Learning Based Plant Leaf Disease Detection | IEEE Consumer Electronics Magazine | Vol11 Issue: 3 |  | 2021 | https://doi.org/10.1109/MCE.2021.3083976 | 4.135 | 
		
			| Kavitha lakshmi R, S. Nickolas | DPD-DS for plant disease detection based on instance segmentation | Journal of Ambient Intelligence and Humanized Computing |  |  | 2021 | https://doi.org/10.1007/s12652-021-03440-1 | 7.104 | 
		
			| Ankit Kumar Sah, Nickolas Savarimuthu | Automatic Video Based Perception of Legitimate Persons Using Computer Vision Techniques | Pattern Recognition and Image Analysis | Vol. 31 | 786–799 | 2021 | https://doi.org/10.1134/S1054661821040192 | 1.244 | 
		
			| Shanthi Pitchaiyan, Nickolas Savarimuthu | Deep Stacked Autoencoder-Based Automatic Emotion Recognition Using an Efficient Hybrid Local Texture Descriptor | Journal of Information Technology Research | Volume 15 • Issue 1 | 1-26 | 2022 | https://orcid.org/0000-0002-0703-3839 |  | 
		
			| Appasami G, Nickolas S | A deep learning-based COVID-19 classification from chest X-ray image:Case study | The European Physical Journal | Vol : 231 | 3767-3777 | 2022 | https://doi.org/10.1140/epjs/s11734-022-00647-x | 2.6 | 
		
			| S. Suseela, R. Eswari, S. Nickolas | A Voronoi-Ant Colony-Based Routing (VoR-Ant-R) Algorithm for WMSNs | International Journal of Swarm Intelligence Research (IJSIR) | Vol.13 (2) |  | 2022 | 10.4018/IJSIR.287546 |  | 
		
			| Kavitha Lakshmi R,  Nickolas Savarimuthu | vCrop : an automated plant disease prediction using deep ensemble framework using real field images | Sadhana | 47:268 |  | 2022 | https://doi.org/10.1007/s12046-022-02041-8 |  | 
		
			| Sareena Rose, Nickolas S., Sangeetha S. | Effective Prediction of Soil micronutrients using Additive Gaussian Process with RAM augmentation | Computational Biology and Chemistry | Vol. 98 |  | 2022 | https://doi.org/10.1016/j.compbiolchem.2022.107683 | 2.6 | 
		
			| Uma Maheswari K., Mary Saira Bhanu S.,  Nickolas Savarimuthu | Partitioning-Based Data Sharing Approach for Data Integrity Verification in Distributed Fog Computing | International Journal of Engineering and Technology Innovation | vol. 13, no. 2 | pp.160-174 | 2023 | https://doi.org/10.46604/ijeti.2023.10685 |  | 
		
			| Uma Maheswari, K., S. Mary Saira Bhanu· Nickolas Savarimuthu | Clustering‑based data integrity verification approachfor multi‑replica in a fog  environment | The Journal of Supercomputing |  | 80:3089-3113 | 2023 | https://doi.org/10.1007/s11227-023-05576-7 | 2.5 | 
		
			| Bakiya K, Nickolas Savarimuthu | Transfer learning for surgical instrument segmentation in open surgery videos: a modified u-net approach with channel amplification | Signal, Image and Video Processing |  | 18:8061-8076 | 2024 | https://doi.org/10.1007/s11760-024-03451-3 | 2.0 | 
		
			| Appasami K, Nickolas Savarimuthu | ECOVID-Net: An ensemble Deep Transfer Learning Based Neural Network for COVID-19 Diagnosis using Chest X-ray Images | Afr.J.Biomed.Res. | Vol. 27(4S) | 11831-11844 | 2024 | https://doi.org/10.5355/A.JBR.v27i4S.5747 |  | 
		
			| Appasami K, Nickolas Savarimuthu | Federated learning for secure medical MRI brain tumor image classification
 | The European Physical Journal Special Topics |  |  | 2025 | https://doi.org/10.1140/epjs/s11734-025-01516-z | 2.6 | 
		
			| Appasami K, Nickolas Savarimuthu | Comparative Analysis of Covid-19, Pneumonia and Other Lung Diseases Classifications based on Deep Learning Architectures with Product Metric Score | Afr.J.Biomed.Res. | Vol.27 4S | 11863 -11891 | 2024 | https://doi.org/10.53555/AJBR.v27i4S.5746 |  | 
		
			| Jinaga Tulasira,  Balaji Banothu, S. Nickolas1 | Monkeypox data enhancement and diagnosis using improved DCGAN | Soft Computing (2025) 29:2497–2513 | Vol 29 | 2497-2513 | 2025 | https://doi.org/10.1007/s00500-025-10509-y |  | 
		
			| M. Anitha. Nickolas Savarimuthu,  S. Mary Saira Bhanu | Chi‑Square Target Encoding for Categorical Data Representation: A Real‑World Sensor Data Case Study
 | SN Computer Science | 6:228 |  | 2025 | https://doi.org/10.1007/s42979-025-03766-z |  |