Sandeep Kautish

2.2k total citations
64 papers, 906 citations indexed

About

Sandeep Kautish is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Sandeep Kautish has authored 64 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 18 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in Sandeep Kautish's work include IoT and Edge/Fog Computing (11 papers), COVID-19 diagnosis using AI (7 papers) and Network Security and Intrusion Detection (6 papers). Sandeep Kautish is often cited by papers focused on IoT and Edge/Fog Computing (11 papers), COVID-19 diagnosis using AI (7 papers) and Network Security and Intrusion Detection (6 papers). Sandeep Kautish collaborates with scholars based in India, Saudi Arabia and Egypt. Sandeep Kautish's co-authors include Gaurav Dhiman, Sapna Juneja, Ali Wagdy Mohamed, Wattana Viriyasitavat, Kusum Yadav, Yasser Alharbi, Ramandeep Kaur, G. Madhu, Ankit Vidyarthi and Muhammed Basheer Jasser and has published in prestigious journals such as Scientific Reports, IEEE Access and Sustainability.

In The Last Decade

Sandeep Kautish

58 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandeep Kautish India 21 304 236 163 161 98 64 906
Muhammad Umar Aftab Pakistan 17 329 1.1× 234 1.0× 202 1.2× 158 1.0× 40 0.4× 55 941
K. Vijayakumar India 18 342 1.1× 244 1.0× 106 0.7× 194 1.2× 106 1.1× 73 980
Ramgopal Kashyap India 19 230 0.8× 165 0.7× 128 0.8× 136 0.8× 108 1.1× 52 987
Ahmad Ali AlZubi Saudi Arabia 18 214 0.7× 374 1.6× 158 1.0× 250 1.6× 56 0.6× 91 1.1k
B. R. Rajakumar India 10 316 1.0× 212 0.9× 191 1.2× 88 0.5× 51 0.5× 13 876
Hani Alquhayz Saudi Arabia 17 318 1.0× 196 0.8× 130 0.8× 107 0.7× 163 1.7× 55 915
Ahmed A. Elngar Egypt 14 326 1.1× 119 0.5× 215 1.3× 111 0.7× 62 0.6× 84 855
Adel Binbusayyis Saudi Arabia 15 341 1.1× 319 1.4× 102 0.6× 94 0.6× 74 0.8× 40 715
Aaqif Afzaal Abbasi Pakistan 14 363 1.2× 319 1.4× 375 2.3× 200 1.2× 48 0.5× 45 1.1k
Faten Khalid Karim Saudi Arabia 17 203 0.7× 156 0.7× 130 0.8× 190 1.2× 49 0.5× 69 783

Countries citing papers authored by Sandeep Kautish

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Kautish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Kautish

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Kautish. A scholar is included among the top collaborators of Sandeep Kautish 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 Sandeep Kautish. Sandeep Kautish 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.
2.
Kumar, Ashok, Sandeep Kautish, Abdulaziz S. Almazyad, et al.. (2024). GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images. Mathematical Biosciences & Engineering. 21(8). 6847–6869.
3.
Bisoy, Sukant Kishoro, et al.. (2024). Ensemble Classification Model With CFS‐IGWO–Based Feature Selection for Cancer Detection Using Microarray Data. International Journal of Telemedicine and Applications. 2024(1). 4105224–4105224.
4.
Sharma, Girish, et al.. (2024). Pattern Recognition Based Skin Lesion Stage Analysis Using IoT. SN Computer Science. 5(5). 1 indexed citations
5.
Madhu, G., Sandeep Kautish, Khalid A. Alnowibet, Hossam M. Zawbaa, & Ali Wagdy Mohamed. (2023). NIPUNA: A Novel Optimizer Activation Function for Deep Neural Networks. Axioms. 12(3). 246–246. 13 indexed citations
6.
Kautish, Sandeep, et al.. (2023). Accelerating Crop Yield: Multisensor Data Fusion and Machine Learning for Agriculture Text Classification. IEEE Access. 11. 20795–20805. 37 indexed citations
7.
Madhu, G., et al.. (2023). XCovNet: An optimized xception convolutional neural network for classification of COVID-19 from point-of-care lung ultrasound images. Multimedia Tools and Applications. 83(11). 33653–33674. 17 indexed citations
8.
Yadav, Kusum, Yasser Alharbi, Navid Razmjooy, et al.. (2022). Distributed Deep CNN-LSTM Model for Intrusion Detection Method in IoT-Based Vehicles. Mathematical Problems in Engineering. 2022. 1–8. 70 indexed citations
9.
Yadav, Kusum, et al.. (2022). Federated Learning Algorithms to Optimize the Client and Cost Selections. Mathematical Problems in Engineering. 2022. 1–9. 21 indexed citations
10.
Gupta, Kamali, Deepali Gupta, Sapna Juneja, et al.. (2022). Enhanced Virtualization-Based Dynamic Bin-Packing Optimized Energy Management Solution for Heterogeneous Clouds. Mathematical Problems in Engineering. 2022. 1–11. 16 indexed citations
11.
Mohapatra, Pradyumna Kumar, Saroja Kumar Rout, Sukant Kishoro Bisoy, et al.. (2022). Application of Bat Algorithm and Its Modified Form Trained with ANN in Channel Equalization. Symmetry. 14(10). 2078–2078. 16 indexed citations
12.
Sharma, Sandhya, Sheifali Gupta, Deepali Gupta, et al.. (2022). Recognition of Gurmukhi Handwritten City Names Using Deep Learning and Cloud Computing. Scientific Programming. 2022. 1–16. 27 indexed citations
13.
Bisoy, Sukant Kishoro, et al.. (2022). Intelligent Decision-Making of Load Balancing Using Deep Reinforcement Learning and Parallel PSO in Cloud Environment. IEEE Access. 10. 76939–76952. 23 indexed citations
14.
Sakshi, Sakshi, Chetan Sharma, Shamneesh Sharma, et al.. (2022). A new median-average round Robin scheduling algorithm: An optimal approach for reducing turnaround and waiting time. Alexandria Engineering Journal. 61(12). 10527–10538. 20 indexed citations
15.
Amutha, B., et al.. (2021). A Personalized Eccentric Cyber-Physical System Architecture for Smart Healthcare. Security and Communication Networks. 2021. 1–36. 16 indexed citations
16.
Ramana, Kadiyala, et al.. (2021). PoC Design: A Methodology for Proof-of-Concept (PoC) Development on Internet of Things Connected Dynamic Environments. Security and Communication Networks. 2021. 1–12. 9 indexed citations
17.
Kautish, Sandeep, et al.. (2021). EGMM video surveillance for monitoring urban traffic scenario. 11(1). 35–47. 3 indexed citations
18.
Juneja, Sapna, et al.. (2021). Evaluation of Ergonomics‐Related Disorders in Online Education Using Fuzzy AHP. Computational Intelligence and Neuroscience. 2021(1). 2214971–2214971. 21 indexed citations
19.
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
20.
Kaur, Gagandeep & Sandeep Kautish. (2018). Data Leakage Detection and Prevention using Fake Agents. International Journal of Scientific Research in Science Engineering and Technology. 4(8). 56–62.

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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