Janmenjoy Nayak

5.6k total citations · 2 hit papers
137 papers, 3.3k citations indexed

About

Janmenjoy Nayak is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Janmenjoy Nayak has authored 137 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 26 papers in Computer Networks and Communications and 20 papers in Information Systems. Recurrent topics in Janmenjoy Nayak's work include Metaheuristic Optimization Algorithms Research (20 papers), Network Security and Intrusion Detection (16 papers) and Anomaly Detection Techniques and Applications (16 papers). Janmenjoy Nayak is often cited by papers focused on Metaheuristic Optimization Algorithms Research (20 papers), Network Security and Intrusion Detection (16 papers) and Anomaly Detection Techniques and Applications (16 papers). Janmenjoy Nayak collaborates with scholars based in India, Italy and United States. Janmenjoy Nayak's co-authors include Bighnaraj Naik, H. S. Behera, Danilo Pelusi, Manohar Mishra, H. Swapnarekha, Ajith Abraham, Pandit Byomakesha Dash, Asit Kumar Das, Uttam Ghosh and Suresh Chandra Satapathy and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Janmenjoy Nayak

128 papers receiving 3.2k citations

Hit Papers

Industrial Internet of Things and its Applications in Ind... 2020 2026 2022 2024 2020 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janmenjoy Nayak India 31 1.4k 571 505 449 412 137 3.3k
Tarik A. Rashid Iraq 33 1.5k 1.1× 532 0.9× 494 1.0× 392 0.9× 452 1.1× 193 3.8k
Bighnaraj Naik India 29 1.2k 0.9× 419 0.7× 418 0.8× 358 0.8× 313 0.8× 94 2.7k
Miodrag Živković Serbia 34 1.5k 1.1× 647 1.1× 600 1.2× 535 1.2× 400 1.0× 182 3.3k
Haruna Chiroma Nigeria 33 1.2k 0.9× 791 1.4× 504 1.0× 841 1.9× 411 1.0× 132 3.6k
H. S. Behera India 28 1.1k 0.8× 391 0.7× 483 1.0× 330 0.7× 625 1.5× 114 2.7k
Faisal Saeed Saudi Arabia 29 901 0.7× 657 1.2× 417 0.8× 435 1.0× 370 0.9× 196 3.0k
Valentina Emilia Bălaş Romania 28 822 0.6× 576 1.0× 901 1.8× 336 0.7× 485 1.2× 311 3.7k
Yuehui Chen China 33 1.5k 1.1× 629 1.1× 523 1.0× 296 0.7× 403 1.0× 250 3.8k
Piyush Kumar Shukla India 30 842 0.6× 587 1.0× 341 0.7× 369 0.8× 515 1.3× 181 2.8k
Farman Ali South Korea 36 1.4k 1.0× 673 1.2× 291 0.6× 618 1.4× 450 1.1× 150 4.3k

Countries citing papers authored by Janmenjoy Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Janmenjoy Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janmenjoy Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Janmenjoy Nayak. A scholar is included among the top collaborators of Janmenjoy Nayak 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 Janmenjoy Nayak. Janmenjoy Nayak 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.
Nayak, Janmenjoy, et al.. (2024). A Photoplethysmography Based Mental Workload Evaluation Using Ensembled CatBoost Approach. Journal of The Institution of Engineers (India) Series B. 106(1). 165–180.
2.
Senapati, Manas Ranjan, et al.. (2023). Self-adaptive memetic firefly algorithm and CatBoost-based security framework for IoT healthcare environment. Journal of Engineering Mathematics. 144(1). 5 indexed citations
3.
Das, Asit Kumar, et al.. (2023). Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem. Axioms. 12(4). 345–345. 2 indexed citations
4.
Nayak, Janmenjoy, et al.. (2022). 25 Years of Particle Swarm Optimization: Flourishing Voyage of Two Decades. Archives of Computational Methods in Engineering. 30(3). 1663–1725. 133 indexed citations breakdown →
5.
Mishra, Manohar, Janmenjoy Nayak, Bighnaraj Naik, & Bhaskar Patnaik. (2022). Enhanced Memetic Algorithm-Based Extreme Learning Machine Model for Smart Grid Stability Prediction. International Transactions on Electrical Energy Systems. 2022. 1–10. 4 indexed citations
6.
Diwakar, Manoj, Prabhishek Singh, Achyut Shankar, et al.. (2022). Directive clustering contrast-based multi-modality medical image fusion for smart healthcare system. Network Modeling Analysis in Health Informatics and Bioinformatics. 11(1). 43 indexed citations
7.
Meedeniya, Dulani, Charith Perera, Soumya Ranjan Nayak, et al.. (2021). License plate recognition using neural architecture search for edge devices. International Journal of Intelligent Systems. 37(12). 10211–10248. 18 indexed citations
8.
Nayak, Soumya Ranjan, Janmenjoy Nayak, S. Vimal, Vaibhav Arora, & Utkarsh Sinha. (2021). An ensemble artificial intelligence‐enabled MIoT for automated diagnosis of malaria parasite. Expert Systems. 39(4). 8 indexed citations
9.
Nayak, Janmenjoy, Bighnaraj Naik, Pandit Byomakesha Dash, & Danilo Pelusi. (2021). Optimal Fuzzy Cluster Partitioning by Crow Search Meta-Heuristic for Biomedical Data Analysis. International Journal of Applied Metaheuristic Computing. 12(2). 49–66. 2 indexed citations
10.
Ding, Weiping, Janmenjoy Nayak, H. Swapnarekha, et al.. (2021). Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data. Neurocomputing. 457. 40–66. 10 indexed citations
11.
Mishra, Manohar, et al.. (2021). DTCDWT-SMOTE-XGBoost-Based Islanding Detection for Distributed Generation Systems: An Approach of Class-Imbalanced Issue. IEEE Systems Journal. 16(2). 2008–2019. 16 indexed citations
12.
Nayak, Janmenjoy, et al.. (2021). Generation of overlapping clusters constructing suitable graph for crime report analysis. Future Generation Computer Systems. 118. 339–357. 6 indexed citations
13.
Nayak, Soumya Ranjan, et al.. (2021). Central hubs prediction for bio networks by directed hypergraph - GA with validation to COVID-19 PPI. Pattern Recognition Letters. 153. 246–253. 8 indexed citations
14.
Swapnarekha, H., H. S. Behera, Janmenjoy Nayak, & Bighnaraj Naik. (2021). Deep Learning for COVID-19 Prognosis: A Systematic Review. Lecture notes in electrical engineering. 667–687. 3 indexed citations
15.
Das, Asit Kumar, et al.. (2020). Graph based feature selection investigating boundary region of rough set for language identification. Expert Systems with Applications. 158. 113575–113575. 18 indexed citations
16.
Naik, Bighnaraj, Mohammad S. Obaidat, Janmenjoy Nayak, et al.. (2019). Intelligent Secure Ecosystem Based on Metaheuristic and Functional Link Neural Network for Edge of Things. IEEE Transactions on Industrial Informatics. 16(3). 1947–1956. 24 indexed citations
17.
Das, Priyanka, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, & Weiping Ding. (2019). A Graph Based Clustering Approach for Relation Extraction From Crime Data. IEEE Access. 7. 101269–101282. 15 indexed citations
18.
Das, Priyanka, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, & Weiping Ding. (2019). Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization. Neurocomputing. 459. 465–480. 11 indexed citations
19.
Das, Priyanka, Asit Kumar Das, Janmenjoy Nayak, & Danilo Pelusi. (2019). A framework for crime data analysis using relationship among named entities. Neural Computing and Applications. 32(12). 7671–7689. 8 indexed citations
20.
Pelusi, Danilo, Raffaele Mascella, Luca G. Tallini, et al.. (2018). Neural network and fuzzy system for the tuning of Gravitational Search Algorithm parameters. Expert Systems with Applications. 102. 234–244. 52 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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