Does Diversity of Papers Affect Their Citations? Evidence from American Physical Society Journals. - Murali Krishna Enduri; I. Vinod Reddy; Shivakumar Jolad (SITIS, 2015)

Logspace and FPT Algorithms for Graph Isomorphism for Subclasses of Bounded Tree-Width Graphs. - Bireswar Das; Murali Krishna Enduri; I. Vinod Reddy (WALCOM, 2015)

Polynomial-time Algorithm for Isomorphism of Graphs with Clique-width at most 3. - Bireswar Das; Murali Krishna Enduri; I. Vinod Reddy (CoRR, 2015)

On Structural Parameterizations of Graph Motif and Chromatic Number. - Bireswar Das; Murali Krishna Enduri; Neeldhara Misra; I. Vinod Reddy (CALDAM, 2017)

On Structural Parameterizations of Firefighting. - Bireswar Das; Murali Krishna Enduri; Neeldhara Misra; I. Vinod Reddy (CALDAM, 2018)

On the Parallel Parameterized Complexity of the Graph Isomorphism Problem. - Bireswar Das; Murali Krishna Enduri; I. Vinod Reddy (WALCOM, 2018)

On NC algorithms for problems on bounded rank-width graphs. - Bireswar Das; Anirban Dasgupta 001; Murali Krishna Enduri; I. Vinod Reddy (Inf. Process. Lett., 2018)

On structural parameterizations of firefighting. - Bireswar Das; Murali Krishna Enduri; Masashi Kiyomi; Neeldhara Misra; Yota Otachi; I. Vinod Reddy; Shunya Yoshimura (Theor. Comput. Sci., 2019)

Evolution of Physics Sub-fields. - Murali Krishna Enduri; I. Vinod Reddy; Shivakumar Jolad (COMPLEXIS, 2020)

Polynomial-time algorithm for isomorphism of graphs with clique-width at most three. - Bireswar Das; Murali Krishna Enduri; I. Vinod Reddy (Theor. Comput. Sci., 2020)

Finding Influential Nodes in Complex Networks Using Nearest Neighborhood Trust Value. - Koduru Hajarathaiah; Murali Krishna Enduri; Satish Anamalamudi (COMPLEX NETWORKS, 2021)

A Secure Matrix Inversion Protocol for IoT Applications in Smart Home Systems. - C. H. Manasa; K. Rahul Chandra; Sateeshkrishna Dhuli; Murali Krishna Enduri (ICCCNT, 2021)

Decentralized Cloud Storage using Unutilized Storage in PC. - Somarouthu Srikanth; Thavva Sampath Kumar; Satish Anamalamudi; Murali Krishna Enduri (ICCCNT, 2021)

Computing Influential Nodes Using the Nearest Neighborhood Trust Value and PageRank in Complex Networks. - Koduru Hajarathaiah; Murali Krishna Enduri; Satish Anamalamudi; Tatireddy Subba Reddy; Srilatha Tokala (Entropy, 2022)

A novel approach to minimize the Black Hole attacks in Vehicular IoT Networks. - Abdur Rashid Sangi; Lokeshwari Anamalamudi; Satish Anamalamudi; Anil Carie; Murali Krishna Enduri (CNIOT, 2023)

Link Prediction in Complex Networks: An Empirical Review. - Y. V. Nandini; T. Jaya Lakshmi; Murali Krishna Enduri (FICTA (2), 2023)

Convolutional Neural Networks for Automated Glaucoma Detection: Performance and Limitations. - Akash Bayyana; Jeyanand Vemulapati; Sai Hemanth Bathula; Gangula Rakesh; Srilatha Tokala; Murali Krishna Enduri (ICCCNT, 2023)

Performance Evaluation of Machine Learning and Neural Network Algorithms for Wine Quality Prediction. - Harika Kakarala; Asish Karthikeya Gogineni; Thadi Venkata Satya Murty; Srilatha Tokala; Murali Krishna Enduri; Satish Anamalamudi (ICCCNT, 2023)

Deep Learning Approaches for Detecting Psychological Instability: An Evaluation of Performance. - Thejo Thanvitha Majety; Kilaru Sravan; Borra Avinash; Srilatha Tokala; Murali Krishna Enduri; Satish Anamalamudi (ICCCNT, 2023)

Improving Skin Disease Diagnosis with Deep Learning: A Comprehensive Evaluation. - Pola Sudharshan; Devika Jayavarapu; Tarun Medasani; Sruthi Sivarajan; Murali Krishna Enduri; Satish Anamalamudi (ICCCNT, 2023)

Tackling Disinformation: Machine Learning Solutions for Fake News Detection. - Abdur Rashid Sangi; Jyothish Nagaram; Akshara Sudulagunta; Sai Sandeep Talari; Vinay Malla; Murali Krishna Enduri; Satish Anamalamudi (ICCNS, 2023)

A Crop Recommendation System Based on Nutrients and Environmental Factors Using Machine Learning Models and IoT. - Anishka Chauhan; Anuraag Tsunduru; Kishwar Parveen; Srilatha Tokala; Koduru Hajarathaiah; Murali Krishna Enduri (ICIT, 2023)

ICDC: Ranking Influential Nodes in Complex Networks Based on Isolating and Clustering Coefficient Centrality Measures. - Mondikathi Chiranjeevi; Sateeshkrishna Dhuli; Murali Krishna Enduri; Linga Reddy Cenkeramaddi (IEEE Access, 2023)

Generalization of Relative Change in a Centrality Measure to Identify Vital Nodes in Complex Networks. - Koduru Hajarathaiah; Murali Krishna Enduri; Sateeshkrishna Dhuli; Satish Anamalamudi; Linga Reddy Cenkeramaddi (IEEE Access, 2023)

Directional Antenna Based Scheduling Protocol for IoT Networks. - Anil Carie; Abdur Rashid Sangi; Satish Anamalamudi; Murali Krishna Enduri; Baha Ihnaini; Hemn Barzan Abdalla; Mohammed Saeed Alkatheiri (CoRR, 2023)

Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations. - Srilatha Tokala; Murali Krishna Enduri; T. Jaya Lakshmi; Hemlata Sharma (Entropy, 2023)

Employing TF-IDF and Word2Vec Embeddings to Identify Multi-Class Toxicity Through Machine and Deep Learning Approaches. - Sanjana Singamsetty; Harshitha Somayajula; Anu Likitha Immadisetty; Keerthi Sree Konkimalla; Srilatha Tokala; Murali Krishna Enduri (OCIT, 2024)

Microplastic Detection in Drinking Water: A Comparative Analysis of CNN-SVM and CNN-RF Hybrid Models. - Prashanthi Thota; Kausik Challapalli; Harsha Garikapati; Veera Manikanta Sai Adusumilli; Satish Anamalamudi; Murali Krishna Enduri (OCIT, 2024)

Navigating Social Networks: A Hypergraph Approach to Influence Optimization. - Murali Krishna Enduri (COMPLEXIS, 2024)

Identifying and Ranking of Best Influential Spreaders With Extended Clustering Coefficient Local Global Centrality Method. - Mondikathi Chiranjeevi; Sateeshkrishna Dhuli; Murali Krishna Enduri; Linga Reddy Cenkeramaddi (IEEE Access, 2024)

Quantifying Node Influence in Networks: Isolating-Betweenness Centrality for Improved Ranking. - Mondikathi Chiranjeevi; Sateeshkrishna Dhuli; Murali Krishna Enduri; Koduru Hajarathaiah; Linga Reddy Cenkeramaddi (IEEE Access, 2024)

Node Significance Analysis in Complex Networks Using Machine Learning and Centrality Measures. - Koduru Hajarathaiah; Murali Krishna Enduri; Satish Anamalamudi; Ashu Abdul; Jenhui Chen (IEEE Access, 2024)

Convex Isolating Clustering Centrality to Discover the Influential Nodes in Large Scale Networks. - Buran Basha Mohammad; Sateeshkrishna Dhuli; Murali Krishna Enduri; Linga Reddy Cenkeramaddi (IEEE Access, 2024)

A Novel Convex Combination-Based Mixed Centrality Measure for Identification of Influential Nodes in Complex Networks. - Buran Basha Mohammad; Sateeshkrishna Dhuli; Murali Krishna Enduri; Linga Reddy Cenkeramaddi (IEEE Access, 2024)

Isolating Coefficient-Based Framework to Recognize Influential Nodes in Complex Networks. - Buran Basha Mohammad; Sateeshkrishna Dhuli; Murali Krishna Enduri; Linga Reddy Cenkeramaddi (IEEE Access, 2024)

Extending Graph-Based LP Techniques for Enhanced Insights Into Complex Hypergraph Networks. - Y. V. Nandini; T. Jaya Lakshmi; Murali Krishna Enduri; Hemlata Sharma; Mohd Wazih Ahmad (IEEE Access, 2024)

Empowering Quality of Recommendations by Integrating Matrix Factorization Approaches With Louvain Community Detection. - Srilatha Tokala; Murali Krishna Enduri; T. Jaya Lakshmi; Ashu Abdul; Jenhui Chen (IEEE Access, 2024)

Link Prediction in Complex Networks Using Average Centrality-Based Similarity Score. - Y. V. Nandini; T. Jaya Lakshmi; Murali Krishna Enduri; Hemlata Sharma (Entropy, 2024)

Finding Influential Nodes using Mixed Centralities in Complex Networks. - Reddy Priya Madupuri; Sobin Choodan Chandran; Murali Krishna Enduri; Satish Anamalamudi (COMSNETS, 2025)

Link Prediction in Complex Hyper-Networks Leveraging HyperCentrality. - Y. V. Nandini; T. Jaya Lakshmi; Murali Krishna Enduri; Mohd Zairul Mazwan Bin Jilani (IEEE Access, 2025)

Identifying influential nodes using semi local isolating centrality based on average shortest path. - Reddy Priya Madupuri; Sobin Choodan Chandran; Murali Krishna Enduri; Satish Anamalamudi (J. Intell. Inf. Syst., 2025)