Praneet Saurabh

664 total citations
24 papers, 272 citations indexed

About

Praneet Saurabh is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Praneet Saurabh has authored 24 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Praneet Saurabh's work include Artificial Immune Systems Applications (5 papers), Influenza Virus Research Studies (3 papers) and Network Security and Intrusion Detection (3 papers). Praneet Saurabh is often cited by papers focused on Artificial Immune Systems Applications (5 papers), Influenza Virus Research Studies (3 papers) and Network Security and Intrusion Detection (3 papers). Praneet Saurabh collaborates with scholars based in India, Qatar and Saudi Arabia. Praneet Saurabh's co-authors include Bhupendra Verma, Umesh Kumar Lilhore, M. Poongodi, Sami Bourouis, Mounir Hamdi, Wajdi Alhakami, Jude Osamor, Surjeet Dalal, Sarita Simaiya and Dhananjay Bisen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Multimedia Tools and Applications.

In The Last Decade

Praneet Saurabh

21 papers receiving 260 citations

Peers

Praneet Saurabh

AI

CNC

BE

IS

EEE

Zihan Chen China

K. P. Kaliyamurthie India

Godwin Brown Tunze Tanzania

Khalid Masood Khan Saudi Arabia

Zaineb Chelly Dagdia Tunisia

Srinath Doss Botswana

A. Sampathkumar India

Prasad B. Honnavalli India

Vinoth Kumar Venkatesan India

Kapil Kumar Nagwanshi India

Zihan Chen China

Praneet Saurabh

97 ×0.8

AI

109 ×1.2

CNC

36 ×0.7

BE

21 ×0.5

IS

24 ×0.7

EEE

Citations per year, relative to Praneet Saurabh Praneet Saurabh (= 1×) peers Zihan Chen

Countries citing papers authored by Praneet Saurabh

Since Specialization

Citations

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

Fields of papers citing papers by Praneet Saurabh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praneet Saurabh

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

All Works

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20 of 20 papers shown

1.

Saurabh, Praneet, et al.. (2025). An integrated approach to apple leaf disease detection: leveraging convolutional neural networks for accurate diagnosis. Multimedia Tools and Applications. 84(32). 40307–40342. 2 indexed citations

2.

Bisen, Dhananjay, et al.. (2025). Advancing Neural Architecture Search Through an Innovative Genetic Algorithm with Inverted Swap Crossover. National Academy Science Letters.

3.

Bisen, Dhananjay, et al.. (2025). Genetic Algorithm-Based Search Space Exploration to Generate Best Convolutional Neural Network. IEEE Access. 13. 155482–155499.

4.

Onyema, Edeh Michael, et al.. (2023). Evaluation of IoT-Enabled hybrid model for genome sequence analysis of patients in healthcare 4.0. Measurement Sensors. 26. 100679–100679. 13 indexed citations

5.

Bisen, Dhananjay, Umesh Kumar Lilhore, Poongodi Manoharan, et al.. (2023). A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT. Electronics. 12(6). 1384–1384. 14 indexed citations

6.

Saurabh, Praneet & Bhupendra Verma. (2023). Negative selection in anomaly detection—A survey. Computer Science Review. 48. 100557–100557. 4 indexed citations

7.

Saurabh, Praneet, et al.. (2022). Ftl‐CoV19: A Transfer Learning Approach to Detect COVID‐19. Computational Intelligence and Neuroscience. 2022(1). 1953992–1953992. 3 indexed citations

8.

Jain, Deepak Kumar, et al.. (2022). Deep Learning-Aided Automated Pneumonia Detection and Classification Using CXR Scans. Computational Intelligence and Neuroscience. 2022. 1–19. 11 indexed citations

9.

Poongodi, M., Praneet Saurabh, Umesh Kumar Lilhore, et al.. (2022). A novel trust-based security and privacy model for Internet of Vehicles using encryption and steganography. Computers & Electrical Engineering. 102. 108205–108205. 85 indexed citations

10.

Saurabh, Praneet, et al.. (2020). Text Message and Digital Image Secure for Discrete Shearlet Transform. 4. 1–6.

11.

Saurabh, Praneet & Bhupendra Verma. (2018). Immunity inspired cooperative agent based security system.. The International Arab Journal of Information Technology. 15. 289–295. 4 indexed citations

12.

Saurabh, Praneet, et al.. (2017). A hybrid approach for human skin detection. 2 indexed citations

13.

Saurabh, Praneet, et al.. (2017). Advance morphological filtering, correlation and convolution method for gesture recognition. 1. 153–157. 3 indexed citations

14.

Saurabh, Praneet, et al.. (2015). Danger Theory Based Load Balancing (DTLB) Algorithm for Cloud Computing. 1 indexed citations

15.

Saurabh, Praneet, et al.. (2014). An Enhancement in Clustering for Sequential Pattern Mining through Neural Algorithm Using Web Logs. 758–764. 3 indexed citations

16.

Srikanth, S., et al.. (2014). Safety Alert & Advisory Information system using vehicular communication (SAVER). 1–5. 1 indexed citations

17.

Saurabh, Praneet & Bhupendra Verma. (2014). A Cooperative Negative Selection Algorithm for Anomaly Detection. International Journal of Computer Applications. 95(17). 27–32. 3 indexed citations

18.

Saurabh, Praneet, et al.. (2012). Self Configuring Intrusion Detection System. 757–761. 4 indexed citations

19.

Saxena, Monika, Praneet Saurabh, & Bhupendra Verma. (2011). USENET: InternetNews Software, Security - Needs and Goals. 1 indexed citations

20.

Saurabh, Praneet, et al.. (2011). An Efficient Approach Parallel Support Vector Machine for Classification of Diabetes Dataset. 36(6). 19–24. 6 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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