Praveen Kaushik

606 total citations
20 papers, 432 citations indexed

About

Praveen Kaushik is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Praveen Kaushik has authored 20 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Praveen Kaushik's work include Mobile Ad Hoc Networks (6 papers), Image and Signal Denoising Methods (3 papers) and Advanced Image Fusion Techniques (3 papers). Praveen Kaushik is often cited by papers focused on Mobile Ad Hoc Networks (6 papers), Image and Signal Denoising Methods (3 papers) and Advanced Image Fusion Techniques (3 papers). Praveen Kaushik collaborates with scholars based in India and United States. Praveen Kaushik's co-authors include Vijay Bhaskar Semwal, Rajesh Kaldate, Matthew B. Yurgelun, Brian Allen, Thaddeus Judkins, Sapna Syngal, Richard Wenstrup, Benjamin B. Roa, Anne‐Renee Hartman and Karla R. Bowles and has published in prestigious journals such as Gastroenterology, Biomedical Signal Processing and Control and Wireless Personal Communications.

In The Last Decade

Praveen Kaushik

18 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Praveen Kaushik India 10 156 94 90 86 82 20 432
Jaewoo Park South Korea 10 85 0.5× 50 0.5× 38 0.4× 17 0.2× 60 0.7× 34 318
Aiping Huang China 12 22 0.1× 57 0.6× 127 1.4× 31 0.4× 16 0.2× 41 491
Mohsin Bilal United Kingdom 12 24 0.2× 116 1.2× 146 1.6× 46 0.5× 40 0.5× 33 557
Xiangru Huang China 13 11 0.1× 84 0.9× 90 1.0× 26 0.3× 74 0.9× 29 578
Leilei Huang China 13 50 0.3× 78 0.8× 98 1.1× 30 0.3× 3 0.0× 43 523
Yanlin Tan China 17 141 0.9× 31 0.3× 135 1.5× 62 0.7× 59 0.7× 36 633
Ying Tan United States 14 16 0.1× 55 0.6× 28 0.3× 8 0.1× 130 1.6× 23 620
Linguo Li China 9 14 0.1× 24 0.3× 225 2.5× 92 1.1× 19 0.2× 26 458
Xin Luo China 13 15 0.1× 48 0.5× 186 2.1× 59 0.7× 14 0.2× 43 791
Hao Liang China 9 32 0.2× 22 0.2× 20 0.2× 11 0.1× 15 0.2× 17 297

Countries citing papers authored by Praveen Kaushik

Since Specialization
Citations

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

Fields of papers citing papers by Praveen Kaushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praveen Kaushik

This figure shows the co-authorship network connecting the top 25 collaborators of Praveen Kaushik. A scholar is included among the top collaborators of Praveen Kaushik 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 Praveen Kaushik. Praveen Kaushik 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.
Ladenson, Paul W., Joshua Klopper, Yangyang Hao, et al.. (2023). Combined Afirma Genomic Sequencing Classifier and TERT promoter mutation detection in molecular assessment of Bethesda III–VI thyroid nodules. Cancer Cytopathology. 131(10). 609–613. 2 indexed citations
2.
Pateriya, R. K., et al.. (2022). An efficient focused crawler using LSTM-CNN based deep learning. International Journal of Systems Assurance Engineering and Management. 14(1). 391–407. 10 indexed citations
3.
Semwal, Vijay Bhaskar, et al.. (2021). Stride segmentation of inertial sensor data using statistical methods for different walking activities. Robotica. 40(8). 2567–2580. 45 indexed citations
4.
Kaushik, Praveen, et al.. (2021). Speckle filtering of ultrasonic images using weighted nuclear norm minimization in wavelet domain. Biomedical Signal Processing and Control. 70. 102997–102997. 10 indexed citations
5.
Semwal, Vijay Bhaskar, et al.. (2021). Deep ensemble learning approach for lower extremity activities recognition using wearable sensors. Expert Systems. 39(6). 74 indexed citations
6.
Singh, Dileep Kumar & Praveen Kaushik. (2019). Intrusion response prioritization based on fuzzy ELECTRE multiple criteria decision making technique. Journal of Information Security and Applications. 48. 102359–102359. 18 indexed citations
7.
Kaushik, Praveen, et al.. (2019). Secure searchable image encryption in cloud using hyper chaos.. The International Arab Journal of Information Technology. 16. 251–259. 6 indexed citations
8.
Kaushik, Praveen, et al.. (2019). Gradient nuclear norm minimization-based image filter. Modern Physics Letters B. 33(19). 1950214–1950214. 7 indexed citations
9.
Kaushik, Praveen, et al.. (2019). Efficient and robust similarity measure for denoising ultrasound images in non-local framework. Journal of Intelligent & Fuzzy Systems. 37(2). 2351–2366. 5 indexed citations
10.
Verma, Ashish, et al.. (2019). A Network Intrusion Detection Approach Using Variant of Convolution Neural Network. 409–416. 14 indexed citations
11.
Bhatia, Ashutosh, et al.. (2019). A Lightweight ARQ Scheme to Minimize Communication Overhead. 4. 507–509. 3 indexed citations
12.
Kaushik, Praveen, et al.. (2018). Improving QoS of VANET Using Adaptive CCA Range and Transmission Range both for Intelligent Transportation System. Wireless Personal Communications. 100(3). 1063–1098. 11 indexed citations
13.
Kaushik, Praveen, et al.. (2018). Load balancing strategies in software defined networks. International Journal of Engineering & Technology. 7(3). 1854–1854.
14.
Singh, Dileep Kumar & Praveen Kaushik. (2018). Framework for Fuzzy Rule Based Automatic Intrusion Response Selection System (FRAIRSS) using Fuzzy Analytic Hierarchy Process and Fuzzy TOPSIS. Journal of Intelligent & Fuzzy Systems. 35(2). 2559–2571. 8 indexed citations
15.
Kaushik, Praveen, et al.. (2017). Improve QoS of IEEE 802.11p Using Average Connected Coverage and Adaptive Transmission Power Scheme for VANET Applications. Wireless Personal Communications. 95(4). 3829–3855. 4 indexed citations
16.
Yurgelun, Matthew B., Brian Allen, Rajesh Kaldate, et al.. (2015). Identification of a Variety of Mutations in Cancer Predisposition Genes in Patients With Suspected Lynch Syndrome. Gastroenterology. 149(3). 604–613.e20. 184 indexed citations
17.
Kaushik, Praveen, et al.. (2015). A Reputation-based Incentive Framework for Mobile Ad Hoc Networks. International Journal of Computer Applications. 120(12). 6–11.
18.
Kaushik, Praveen, R. B. Patel, & Jyoti Singhai. (2011). Energy Efficient Clear Channel Assessment for LR-WPAN. 2 indexed citations
19.
Kaushik, Praveen & Jyoti Singhai. (2011). Energy Efficient Routing Algorithm for Maximizing the Minimum Lifetime of Wireless Sensor Network: A Review. 2(2). 25–36. 9 indexed citations
20.
Bhatia, Ashutosh & Praveen Kaushik. (2008). A cluster based minimum battery cost AODV routing using multipath route for zigbee. 1–7. 20 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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