Ranjit Panigrahi

1.4k total citations · 1 hit paper
27 papers, 732 citations indexed

About

Ranjit Panigrahi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Ranjit Panigrahi has authored 27 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 5 papers in Signal Processing. Recurrent topics in Ranjit Panigrahi's work include Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Malware Detection Techniques (5 papers). Ranjit Panigrahi is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Malware Detection Techniques (5 papers). Ranjit Panigrahi collaborates with scholars based in India, Nigeria and Italy. Ranjit Panigrahi's co-authors include Samarjeet Borah, Akash Kumar Bhoi, Moumita Pramanik, Paolo Barsocchi, Rutvij H. Jhaveri, Muhammad Fazal Ijaz, Amik Garg, Yogesh Kumar, Sushruta Mishra and Joseph Bamidele Awotunde and has published in prestigious journals such as Sensors, Computer Communications and Knowledge and Information Systems.

In The Last Decade

Ranjit Panigrahi

25 papers receiving 699 citations

Hit Papers

Applied Soft Computing 2021 2026 2022 2024 2021 50 100 150 200
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.

  1. Applied Soft Computing
    2021 234 citations Samarjeet Borah, Ranjit Panigrahi profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranjit Panigrahi India 12 336 223 105 86 83 27 732
Norshakirah Aziz Malaysia 12 311 0.9× 196 0.9× 119 1.1× 80 0.9× 130 1.6× 42 788
Ankur Dumka India 14 200 0.6× 175 0.8× 69 0.7× 83 1.0× 107 1.3× 93 712
Marwan Ali Albahar Saudi Arabia 15 421 1.3× 277 1.2× 157 1.5× 100 1.2× 164 2.0× 58 982
Muhammad Aamir Malaysia 17 408 1.2× 292 1.3× 157 1.5× 132 1.5× 146 1.8× 61 989
Myriam Hadjouni Saudi Arabia 17 226 0.7× 177 0.8× 57 0.5× 89 1.0× 108 1.3× 38 685
Raneem Qaddoura Jordan 16 441 1.3× 205 0.9× 153 1.5× 56 0.7× 143 1.7× 40 766
Surjeet Dalal India 20 340 1.0× 244 1.1× 84 0.8× 118 1.4× 189 2.3× 84 995
J. Anuradha India 11 352 1.0× 162 0.7× 91 0.9× 126 1.5× 176 2.1× 31 942
B. R. Rajakumar India 10 316 0.9× 212 1.0× 114 1.1× 191 2.2× 88 1.1× 13 876
Yousef Farhaoui Morocco 15 254 0.8× 289 1.3× 138 1.3× 55 0.6× 161 1.9× 94 820

Countries citing papers authored by Ranjit Panigrahi

Since Specialization
Citations

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

Fields of papers citing papers by Ranjit Panigrahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranjit Panigrahi

This figure shows the co-authorship network connecting the top 25 collaborators of Ranjit Panigrahi. A scholar is included among the top collaborators of Ranjit Panigrahi 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 Ranjit Panigrahi. Ranjit Panigrahi 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
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Ayo, Femi Emmanuel, Joseph Bamidele Awotunde, Sakinat Oluwabukonla Folorunso, et al.. (2024). Bot-FFX: A Robust and Efficient Framework for Fast Flux Botnet (FFB) Detection. Wireless Personal Communications. 135(2). 1209–1232. 1 indexed citations
3.
Ayo, Femi Emmanuel, et al.. (2024). Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection. Knowledge and Information Systems. 66(6). 3355–3392. 7 indexed citations
4.
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Shah, Krishna Bikram, et al.. (2024). Advancing smart city sustainability with Internet of Things and artificial intelligence aided low-cost digital twin systems for waste management. Microsystem Technologies. 31(10). 2783–2796. 4 indexed citations
6.
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Panigrahi, Ranjit, et al.. (2024). Early Malignant Mesothelioma Detection Using Ensemble of Naive Bayes Under Decorate Ensemble Framework. Journal of The Institution of Engineers (India) Series B. 105(2). 251–264.
8.
Pradhan, Gaurav N., Gopal B. Thapa, Ratika Pradhan, et al.. (2024). Optimized Forest Framework with A Binary Multineighborhood Artificial Bee Colony for Enhanced Diabetes Mellitus Detection. International Journal of Computational Intelligence Systems. 17(1). 2 indexed citations
9.
Awotunde, Joseph Bamidele, Ranjit Panigrahi, Bidita Khandelwal, Amik Garg, & Akash Kumar Bhoi. (2023). Breast cancer diagnosis based on hybrid rule-based feature selection with deep learning algorithm. Research on Biomedical Engineering. 39(1). 115–127. 23 indexed citations
10.
Folorunso, Sakinat Oluwabukonla, et al.. (2023). Multi-Label Learning Model for Diabetes Disease Comorbidity. Journal of The Institution of Engineers (India) Series B. 104(5). 1133–1145. 1 indexed citations
11.
Awotunde, Joseph Bamidele, et al.. (2023). Big data analytics enabled deep convolutional neural network for the diagnosis of cancer. Knowledge and Information Systems. 66(2). 905–931. 3 indexed citations
12.
Panigrahi, Ranjit, et al.. (2023). An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes. International Journal of Computational Intelligence Systems. 16(1). 42 indexed citations
13.
Singh, Amit Kumar, et al.. (2023). A non-invasive method for prediction of neurodegenerative diseases using gait signal features. Procedia Computer Science. 218. 1529–1541. 7 indexed citations
14.
Awotunde, Joseph Bamidele, Femi Emmanuel Ayo, Ranjit Panigrahi, et al.. (2023). A Multi-level Random Forest Model-Based Intrusion Detection Using Fuzzy Inference System for Internet of Things Networks. International Journal of Computational Intelligence Systems. 16(1). 25 indexed citations
15.
Panigrahi, Ranjit, Samarjeet Borah, Moumita Pramanik, et al.. (2022). Intrusion detection in cyber–physical environment using hybrid Naïve Bayes—Decision table and multi-objective evolutionary feature selection. Computer Communications. 188. 133–144. 45 indexed citations
16.
Panigrahi, Ranjit, Samarjeet Borah, Akash Kumar Bhoi, et al.. (2021). Performance Assessment of Supervised Classifiers for Designing Intrusion Detection Systems: A Comprehensive Review and Recommendations for Future Research. Mathematics. 9(6). 690–690. 76 indexed citations
17.
Panigrahi, Ranjit, Samarjeet Borah, Akash Kumar Bhoi, et al.. (2021). A Consolidated Decision Tree-Based Intrusion Detection System for Binary and Multiclass Imbalanced Datasets. Mathematics. 9(7). 751–751. 113 indexed citations
18.
Kautish, Sandeep, et al.. (2020). Decision-making on the existence of soft exudates in diabetic retinopathy. International Journal of Computer Applications in Technology. 64(4). 375–375. 5 indexed citations
19.
Panigrahi, Ranjit, et al.. (2020). Survivability prediction of patients suffering hepatocellular carcinoma using diverse classifier ensemble of grafted decision tree. International Journal of Computer Applications in Technology. 64(4). 349–349. 3 indexed citations
20.
Panigrahi, Ranjit & Samarjeet Borah. (2018). Rank Allocation to J48 Group of Decision Tree Classifiers using Binary and Multiclass Intrusion Detection Datasets. Procedia Computer Science. 132. 323–332. 39 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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