Nagaraju Devarakonda

651 total citations
50 papers, 342 citations indexed

About

Nagaraju Devarakonda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Nagaraju Devarakonda has authored 50 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 11 papers in Computer Networks and Communications. Recurrent topics in Nagaraju Devarakonda's work include Metaheuristic Optimization Algorithms Research (18 papers), Network Security and Intrusion Detection (10 papers) and Advanced Malware Detection Techniques (9 papers). Nagaraju Devarakonda is often cited by papers focused on Metaheuristic Optimization Algorithms Research (18 papers), Network Security and Intrusion Detection (10 papers) and Advanced Malware Detection Techniques (9 papers). Nagaraju Devarakonda collaborates with scholars based in India, Sri Lanka and Italy. Nagaraju Devarakonda's co-authors include V. Valli Kumari, A. Govardhan, Nabendu Chaki, Agostino Cortesi, K. Ram Mohan Rao and Yingxu Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Multimedia Tools and Applications.

In The Last Decade

Nagaraju Devarakonda

48 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nagaraju Devarakonda India 10 204 87 83 50 36 50 342
Diaa Salama Abd Elminaam Egypt 9 273 1.3× 166 1.9× 88 1.1× 37 0.7× 23 0.6× 16 473
Ezgi Zorarpacı Türkiye 6 276 1.4× 65 0.7× 38 0.5× 25 0.5× 31 0.9× 10 371
Ayman Yafoz Saudi Arabia 13 143 0.7× 47 0.5× 124 1.5× 57 1.1× 42 1.2× 54 361
Sasmita Padhy India 9 106 0.5× 61 0.7× 80 1.0× 36 0.7× 44 1.2× 40 353
Mehmet R. Tolun Türkiye 7 145 0.7× 42 0.5× 28 0.3× 37 0.7× 30 0.8× 26 289
Parul Agarwal India 10 147 0.7× 32 0.4× 51 0.6× 23 0.5× 26 0.7× 23 268
P. Thangaraj India 11 102 0.5× 64 0.7× 152 1.8× 35 0.7× 61 1.7× 62 352
Prabhjot Kaur India 12 115 0.6× 92 1.1× 26 0.3× 29 0.6× 38 1.1× 37 273
Adel Sabry Eesa Iraq 8 304 1.5× 69 0.8× 228 2.7× 138 2.8× 29 0.8× 13 485
V. Susheela Devi India 8 162 0.8× 74 0.9× 24 0.3× 40 0.8× 39 1.1× 33 346

Countries citing papers authored by Nagaraju Devarakonda

Since Specialization
Citations

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

Fields of papers citing papers by Nagaraju Devarakonda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nagaraju Devarakonda

This figure shows the co-authorship network connecting the top 25 collaborators of Nagaraju Devarakonda. A scholar is included among the top collaborators of Nagaraju Devarakonda 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 Nagaraju Devarakonda. Nagaraju Devarakonda 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.
Devarakonda, Nagaraju, et al.. (2023). Effective lung cancer diagnosis using multi-focus fusion of CT and PET images with deep learning strategies. The Imaging Science Journal. 71(4). 378–394. 1 indexed citations
2.
Devarakonda, Nagaraju, et al.. (2023). VGG19+CNN: Deep Learning-Based Lung Cancer Classification with Meta-Heuristic Feature Selection Methodology. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 11(1). 2 indexed citations
3.
4.
Devarakonda, Nagaraju, et al.. (2023). A Novel Chaos Quasi-Oppositional based Flamingo Search Algorithm with Simulated Annealing for Feature Selection. International Journal on Recent and Innovation Trends in Computing and Communication. 11(8s). 463–473. 1 indexed citations
5.
Devarakonda, Nagaraju, et al.. (2022). A novel approach for optimization of convolution neural network with hybrid particle swarm and grey wolf algorithm for classification of Indian classical dances. Knowledge and Information Systems. 64(9). 2411–2434. 23 indexed citations
6.
7.
Devarakonda, Nagaraju, et al.. (2022). Detection of DDoS Attacks Using Machine Learning Classification Algorithms. International Journal of Computer Network and Information Security. 14(6). 89–97. 10 indexed citations
8.
Devarakonda, Nagaraju, et al.. (2021). A Hybrid Between TOA and Lévy Flight Trajectory for Solving Different Cluster Problems. International Journal of Cognitive Informatics and Natural Intelligence. 15(4). 1–25. 1 indexed citations
9.
Devarakonda, Nagaraju, et al.. (2021). Detection of Different DDoS Attacks Using Machine Learning Classification Algorithms. Ingénierie des systèmes d information. 26(5). 461–468. 15 indexed citations
10.
Devarakonda, Nagaraju, et al.. (2021). A Monadic Framework for Real-time 2D Multi Person Pose Detection for captured Images and Videos. 1–6. 2 indexed citations
11.
Devarakonda, Nagaraju, et al.. (2020). Efficient Outlier Detection for High Dimensional Data using Improved Monarch Butterfly Optimization and Mutual Nearest Neighbors Algorithm: IMBO-MNN. International journal of intelligent engineering and systems. 13(2). 63–73. 5 indexed citations
12.
Devarakonda, Nagaraju, et al.. (2019). Handling Optimization Problem, and the Scope of Varied Artificial Bee Colony (ABC) Algorithms: A Contemporary. International Journal of Innovative Technology and Exploring Engineering. 8(6S4). 607–611. 1 indexed citations
13.
Devarakonda, Nagaraju, et al.. (2019). Design and Evaluation of Outlier Detection Based on Semantic Condensed Nearest Neighbor. SHILAP Revista de lepidopterología. 29(1). 1416–1424. 2 indexed citations
14.
Devarakonda, Nagaraju, et al.. (2019). A Novel Chaotic Northern Bald Ibis Optimization Algorithm for Solving Different Cluster Problems [ICCICC18 #155]. International Journal of Software Science and Computational Intelligence. 11(2). 1–25. 1 indexed citations
15.
Devarakonda, Nagaraju, et al.. (2019). Cluster based Hybrid Approach to Task Scheduling in Cloud Environment. International Journal of Advanced Computer Science and Applications. 10(4). 5 indexed citations
16.
Devarakonda, Nagaraju, et al.. (2019). An Effective Approach for Selecting Cluster Centroids for the k-means Algorithm using IABC Approach. 5. 379–388. 2 indexed citations
17.
Devarakonda, Nagaraju, et al.. (2018). Multi-Swarm Whale Optimization Algorithm for Data Clustering Problems using Multiple Cooperative Strategies. International Journal of Intelligent Systems and Applications. 10(8). 36–53. 11 indexed citations
18.
Devarakonda, Nagaraju, et al.. (2017). Bubble-net hunting strategy of whales based optimized feature selection for e-mail classification. 626–631. 16 indexed citations
19.
Devarakonda, Nagaraju, et al.. (2013). Naive Bayesian Classifier for Uncertain Data using Exponential Distribution. 82–86. 1 indexed citations
20.
Devarakonda, Nagaraju, et al.. (2012). Integrated Bayes Network and Hidden Markov Model for Host based IDS. 41(20). 45. 2 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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