Pandit Byomakesha Dash

565 total citations
20 papers, 359 citations indexed

About

Pandit Byomakesha Dash is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Pandit Byomakesha Dash has authored 20 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Pandit Byomakesha Dash's work include Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Malware Detection Techniques (4 papers). Pandit Byomakesha Dash is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Malware Detection Techniques (4 papers). Pandit Byomakesha Dash collaborates with scholars based in India, Italy and Singapore. Pandit Byomakesha Dash's co-authors include Janmenjoy Nayak, Bighnaraj Naik, Manohar Mishra, Subrat Kumar Swain, Alireza Souri, S. Vimal, Vimal Shanmuganathan, Danilo Pelusi, S. Vimal and Seifedine Kadry and has published in prestigious journals such as Applied Soft Computing, Pattern Recognition Letters and Measurement.

In The Last Decade

Pandit Byomakesha Dash

17 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pandit Byomakesha Dash India 9 191 139 79 58 31 20 359
Samira Chabaa Morocco 11 163 0.9× 226 1.6× 68 0.9× 45 0.8× 33 1.1× 56 435
Manoharan Madhiarasan India 11 156 0.8× 194 1.4× 74 0.9× 14 0.2× 38 1.2× 27 376
Abdul Hasib Siddique Bangladesh 12 80 0.4× 205 1.5× 35 0.4× 49 0.8× 19 0.6× 26 389
Syed Muhammad Salman Bukhari Pakistan 8 183 1.0× 227 1.6× 50 0.6× 80 1.4× 60 1.9× 12 400
Nipun Batra India 14 75 0.4× 477 3.4× 94 1.2× 49 0.8× 108 3.5× 37 654
Jong-Chan Kim South Korea 11 189 1.0× 206 1.5× 142 1.8× 20 0.3× 59 1.9× 33 455
Seungwon Jung South Korea 11 167 0.9× 255 1.8× 45 0.6× 24 0.4× 36 1.2× 16 472
Hyoseop Lee South Korea 10 63 0.3× 297 2.1× 76 1.0× 39 0.7× 71 2.3× 19 466
Srinivasan Iyengar United States 11 110 0.6× 216 1.6× 72 0.9× 122 2.1× 51 1.6× 28 413
Stefan Achleitner United States 8 90 0.5× 116 0.8× 45 0.6× 165 2.8× 22 0.7× 12 339

Countries citing papers authored by Pandit Byomakesha Dash

Since Specialization
Citations

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

Fields of papers citing papers by Pandit Byomakesha Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pandit Byomakesha Dash. 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 Pandit Byomakesha Dash. The network helps show where Pandit Byomakesha Dash may publish in the future.

Co-authorship network of co-authors of Pandit Byomakesha Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Pandit Byomakesha Dash. A scholar is included among the top collaborators of Pandit Byomakesha Dash 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 Pandit Byomakesha Dash. Pandit Byomakesha Dash 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.. (2025). Short-term solar irradiance forecasting model based on hyper-parameter tuned LSTM via chaotic particle swarm optimization algorithm. Case Studies in Thermal Engineering. 69. 105999–105999.
2.
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
3.
Mishra, Manohar, et al.. (2024). Smart grid stability prediction based on Bayesian-optimised LGBM for smarter energy management. International Journal of Advanced Mechatronic Systems. 11(4). 226–241. 2 indexed citations
4.
Nayak, Janmenjoy, et al.. (2024). Improved perturbation based hybrid firefly algorithm and long short-term memory based intelligent security model for IoT network intrusion detection. Computers & Electrical Engineering. 121. 109926–109926. 3 indexed citations
5.
6.
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
7.
Naik, Bighnaraj, et al.. (2022). Light gradient boosting machine with optimized hyperparameters for identification of malicious access in IoT network. Digital Communications and Networks. 9(1). 125–137. 39 indexed citations
8.
Swapnarekha, H., Janmenjoy Nayak, H. S. Behera, Pandit Byomakesha Dash, & Danilo Pelusi. (2022). An optimistic firefly algorithm-based deep learning approach for sentiment analysis of COVID-19 tweets. Mathematical Biosciences & Engineering. 20(2). 2382–2407. 5 indexed citations
9.
Nayak, Janmenjoy, Bighnaraj Naik, Pandit Byomakesha Dash, S. Vimal, & Seifedine Kadry. (2022). Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework. Sustainable Computing Informatics and Systems. 36. 100805–100805. 23 indexed citations
10.
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
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.
Dash, Pandit Byomakesha, et al.. (2021). Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs. Pattern Recognition Letters. 152. 100–106. 15 indexed citations
13.
Nayak, Janmenjoy, Bighnaraj Naik, Pandit Byomakesha Dash, Alireza Souri, & Vimal Shanmuganathan. (2021). Hyper-parameter tuned light gradient boosting machine using memetic firefly algorithm for hand gesture recognition. Applied Soft Computing. 107. 107478–107478. 36 indexed citations
14.
Naik, Bighnaraj, Janmenjoy Nayak, & Pandit Byomakesha Dash. (2021). Higher order ANN parameter optimization using hybrid opposition-elitism based metaheuristic. Evolutionary Intelligence. 15(3). 2055–2075. 3 indexed citations
15.
Naik, Bighnaraj, et al.. (2021). SEM: Stacking Ensemble Meta-Learning for IOT Security Framework. Arabian Journal for Science and Engineering. 46(4). 3531–3548. 8 indexed citations
16.
Nayak, Janmenjoy, et al.. (2021). Significance of deep learning for Covid-19: state-of-the-art review. Research on Biomedical Engineering. 38(1). 243–266. 19 indexed citations
17.
Dash, Pandit Byomakesha, et al.. (2020). Anomaly Detection in IoT Network by using Multi-class Adaptive Boosting Classifier. DergiPark (Istanbul University). 9(3). 164–171. 3 indexed citations
18.
Nayak, Janmenjoy, et al.. (2020). Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges. SN Computer Science. 1(6). 311–311. 29 indexed citations
19.
Dash, Pandit Byomakesha, et al.. (2020). Model based IoT security framework using multiclass adaptive boosting with SMOTE. Security and Privacy. 3(5). 9 indexed citations
20.
Mishra, Manohar, Pandit Byomakesha Dash, Janmenjoy Nayak, Bighnaraj Naik, & Subrat Kumar Swain. (2020). Deep learning and wavelet transform integrated approach for short-term solar PV power prediction. Measurement. 166. 108250–108250. 144 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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