H. S. Behera

4.7k total citations
114 papers, 2.7k citations indexed

About

H. S. Behera is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, H. S. Behera has authored 114 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 34 papers in Management Science and Operations Research and 18 papers in Computer Networks and Communications. Recurrent topics in H. S. Behera's work include Neural Networks and Applications (34 papers), Stock Market Forecasting Methods (33 papers) and Metaheuristic Optimization Algorithms Research (25 papers). H. S. Behera is often cited by papers focused on Neural Networks and Applications (34 papers), Stock Market Forecasting Methods (33 papers) and Metaheuristic Optimization Algorithms Research (25 papers). H. S. Behera collaborates with scholars based in India, United States and Czechia. H. S. Behera's co-authors include Bighnaraj Naik, Janmenjoy Nayak, Sibarama Panigrahi, Pradipta Kumar Das, Bijaya Ketan Panigrahi, Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Das, H. Swapnarekha and Birendra Biswal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Frontiers in Immunology.

In The Last Decade

H. S. Behera

108 papers receiving 2.6k citations

Peers

H. S. Behera
Miodrag Živković Serbia
Mohamed Abouhawwash Egypt
Milan Tuba Serbia
Xiao-Yang Liu China
Aytaç Altan Türkiye
Mohammed A. Awadallah Jordan
Janmenjoy Nayak India
Kashif Hussain China
Mourad Oussalah Finland
Hamza Turabieh Saudi Arabia
Miodrag Živković Serbia
H. S. Behera
Citations per year, relative to H. S. Behera H. S. Behera (= 1×) peers Miodrag Živković

Countries citing papers authored by H. S. Behera

Since Specialization
Citations

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

Fields of papers citing papers by H. S. Behera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. S. Behera. 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 H. S. Behera. The network helps show where H. S. Behera may publish in the future.

Co-authorship network of co-authors of H. S. Behera

This figure shows the co-authorship network connecting the top 25 collaborators of H. S. Behera. A scholar is included among the top collaborators of H. S. Behera 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 H. S. Behera. H. S. Behera 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.
Dash, Pandit Byomakesha, H. S. Behera, Manas Ranjan Senapati, & Janmenjoy Nayak. (2025). Velocity Paused Particle Swarm Optimization-based Intelligent Long Short-Term Memory Framework for Intrusion Detection System in Internet of Medical Things. Arabian Journal for Science and Engineering. 50(19). 16167–16197. 1 indexed citations
2.
3.
Pattanayak, Radha Mohan, H. S. Behera, & Sibarama Panigrahi. (2023). A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine. Information Sciences. 626. 494–523. 24 indexed citations
4.
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
5.
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
6.
Swapnarekha, H., H. S. Behera, Janmenjoy Nayak, & Bighnaraj Naik. (2020). Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review. Chaos Solitons & Fractals. 138. 109947–109947. 131 indexed citations
7.
Pattanayak, Radha Mohan, Sibarama Panigrahi, & H. S. Behera. (2020). High-Order Fuzzy Time Series Forecasting by Using Membership Values Along with Data and Support Vector Machine. Arabian Journal for Science and Engineering. 45(12). 10311–10325. 27 indexed citations
8.
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
9.
Panigrahi, Sibarama & H. S. Behera. (2019). A study on leading machine learning techniques for high order fuzzy time series forecasting. Engineering Applications of Artificial Intelligence. 87. 103245–103245. 53 indexed citations
10.
Behera, H. S., et al.. (2017). A modified fruit fly optimisation for classification of financial distress using FLANN. 2(2). 155–155. 1 indexed citations
11.
Das, Pradipta Kumar, et al.. (2016). An intelligent multi-robot path planning in a dynamic environment using improved gravitational search algorithm. International Journal of Automation and Computing. 18(6). 1032–1044. 12 indexed citations
12.
Das, Pradipta Kumar, H. S. Behera, Swagatam Das, et al.. (2016). A hybrid improved PSO-DV algorithm for multi-robot path planning in a clutter environment. Neurocomputing. 207. 735–753. 113 indexed citations
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Das, Pradipta Kumar, H. S. Behera, Prabir Kumar Jena, & Bijaya Ketan Panigrahi. (2016). Multi-robot path planning in a dynamic environment using improved gravitational search algorithm. SHILAP Revista de lepidopterología. 3(2). 295–313. 42 indexed citations
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16.
Nayak, Janmenjoy, Bighnaraj Naik, & H. S. Behera. (2014). A hybrid PSO-GA based Pi sigma neural network (PSNN) with standard back propagation gradient descent learning for classification. 878–885. 17 indexed citations
17.
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
18.
Jain, Lakhmi C., H. S. Behera, Jyotsna Kumar Mandal, & Durga Prasad Mohapatra. (2014). Computational Intelligence in Data Mining - Volume 1. Smart innovation, systems and technologies. 20 indexed citations
19.
Behera, H. S., et al.. (2011). Weighted Mean Priority Based Scheduling for Interactive Systems. Journal of Global Research in Computer Sciences. 2(5). 1–7. 6 indexed citations
20.
Behera, H. S., et al.. (2011). Experimental Analysis of New Fair-Share Scheduling Algorithm with Weighted TimeSlice for Real Time Systems. Journal of Global Research in Computer Sciences. 2(2). 54–60. 5 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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