Bighnaraj Naik

4.6k total citations · 1 hit paper
94 papers, 2.7k citations indexed

About

Bighnaraj Naik is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Bighnaraj Naik has authored 94 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Bighnaraj Naik's work include Metaheuristic Optimization Algorithms Research (21 papers), Neural Networks and Applications (13 papers) and Machine Learning and ELM (10 papers). Bighnaraj Naik is often cited by papers focused on Metaheuristic Optimization Algorithms Research (21 papers), Neural Networks and Applications (13 papers) and Machine Learning and ELM (10 papers). Bighnaraj Naik collaborates with scholars based in India, Italy and United States. Bighnaraj Naik's co-authors include Janmenjoy Nayak, H. S. Behera, Danilo Pelusi, Manohar Mishra, H. Swapnarekha, Pandit Byomakesha Dash, Himansu Das, Ajith Abraham, Raffaele Mascella and Luca G. Tallini and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Transactions on Industrial Informatics.

In The Last Decade

Bighnaraj Naik

90 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

25 Years of Particle Swarm Optimization: Flourishing Voyage of Two Decades

2022 133 citations Janmenjoy Nayak, H. Swapnarekha et al. Archives of Computational Methods in Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bighnaraj Naik India	29	1.2k	419	418	358	313	94	2.7k
Janmenjoy Nayak India	31	1.4k 1.1×	571 1.4×	505 1.2×	449 1.3×	412 1.3×	137	3.3k
Tarik A. Rashid Iraq	33	1.5k 1.2×	532 1.3×	494 1.2×	392 1.1×	452 1.4×	193	3.8k
Said Jadid Abdulkadir Malaysia	25	1.1k 0.9×	355 0.8×	250 0.6×	310 0.9×	353 1.1×	110	2.6k
Miodrag Živković Serbia	34	1.5k 1.3×	647 1.5×	600 1.4×	535 1.5×	400 1.3×	182	3.3k
Ivana Strumberger Serbia	27	1.0k 0.8×	501 1.2×	382 0.9×	388 1.1×	344 1.1×	71	2.0k
Dayou Liu China	27	1.3k 1.1×	405 1.0×	251 0.6×	382 1.1×	435 1.4×	173	2.9k
Kuruva Lakshmanna India	23	876 0.7×	646 1.5×	387 0.9×	335 0.9×	420 1.3×	51	2.7k
Faisal Saeed Saudi Arabia	29	901 0.7×	657 1.6×	417 1.0×	435 1.2×	370 1.2×	196	3.0k
Piyush Kumar Shukla India	30	842 0.7×	587 1.4×	341 0.8×	369 1.0×	515 1.6×	181	2.8k
Hamza Turabieh Saudi Arabia	31	1.3k 1.1×	307 0.7×	251 0.6×	398 1.1×	344 1.1×	85	2.8k

Countries citing papers authored by Bighnaraj Naik

Since Specialization

Citations

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

Fields of papers citing papers by Bighnaraj Naik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bighnaraj Naik

This figure shows the co-authorship network connecting the top 25 collaborators of Bighnaraj Naik. A scholar is included among the top collaborators of Bighnaraj Naik 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 Bighnaraj Naik. Bighnaraj Naik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Das, Asit Kumar, et al.. (2023). Computational Intelligence in Pattern Recognition. Lecture notes in networks and systems. 1 indexed citations

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 →

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

Nayak, Janmenjoy, et al.. (2022). Deep Learning-Based Trend Analysis on Indian Stock Market in COVID-19 Pandemic Scenario and Forecasting Future Financial Drift. Journal of The Institution of Engineers (India) Series B. 103(5). 1459–1478. 1 indexed citations

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

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

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

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

Behera, H. S., et al.. (2021). Exact greedy algorithm based split finding approach for intrusion detection in fog-enabled IoT environment. Journal of Information Security and Applications. 60. 102866–102866. 30 indexed citations

10.

Mohapatra, Subhashree, Janmenjoy Nayak, Manohar Mishra, et al.. (2021). Wavelet Transform and Deep Convolutional Neural Network-Based Smart Healthcare System for Gastrointestinal Disease Detection. Interdisciplinary Sciences Computational Life Sciences. 13(2). 212–228. 42 indexed citations

11.

Dash, Pandit Byomakesha, et al.. (2021). Socio-economic factor analysis for sustainable and smart precision agriculture: An ensemble learning approach. Computer Communications. 182. 72–87. 17 indexed citations

12.

Ding, Weiping, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, & Manohar Mishra. (2020). Fuzzy and Real-Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment. IEEE Transactions on Industrial Informatics. 17(6). 4298–4307. 24 indexed citations

13.

Nayak, Janmenjoy, et al.. (2020). Intelligent Computing in IoT-Enabled Smart Cities: A Systematic Review. Lecture notes in networks and systems. 1–21. 5 indexed citations

14.

Naik, Bighnaraj. (2020). Extra-tree learning based Socio-economic factor analysis and multi-class adaptive boosting meta-estimator for prediction of agricultural productivity. Indian Journal of Science and Technology. 13(29). 2081–2101. 1 indexed citations

15.

Das, Himansu, Bighnaraj Naik, & H. S. Behera. (2020). A Jaya algorithm based wrapper method for optimal feature selection in supervised classification. Journal of King Saud University - Computer and Information Sciences. 34(6). 3851–3863. 61 indexed citations

16.

Das, Himansu, Bighnaraj Naik, & H. S. Behera. (2019). Medical disease analysis using Neuro-Fuzzy with Feature Extraction Model for classification. Informatics in Medicine Unlocked. 18. 100288–100288. 46 indexed citations

17.

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

18.

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

19.

Nayak, Janmenjoy, Bighnaraj Naik, & H. S. Behera. (2015). A novel nature inspired firefly algorithm with higher order neural network: Performance analysis. Engineering Science and Technology an International Journal. 19(1). 197–211. 52 indexed citations

20.

Nayak, Janmenjoy, Bighnaraj Naik, & H. S. Behera. (2014). Fuzzy C-Means (FCM) Clustering Algorithm: A Decade Review from 2000 to 2014. Smart innovation, systems and technologies. 133–149. 210 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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