Sachin Kumar

5.5k total citations · 3 hit papers
122 papers, 3.1k citations indexed

About

Sachin Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sachin Kumar has authored 122 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 20 papers in Information Systems. Recurrent topics in Sachin Kumar's work include Brain Tumor Detection and Classification (16 papers), Traffic Prediction and Management Techniques (12 papers) and AI in cancer detection (12 papers). Sachin Kumar is often cited by papers focused on Brain Tumor Detection and Classification (16 papers), Traffic Prediction and Management Techniques (12 papers) and AI in cancer detection (12 papers). Sachin Kumar collaborates with scholars based in India, Russia and Saudi Arabia. Sachin Kumar's co-authors include Prayag Tiwari, Mikhail Zymbler, Durga Toshniwal, Deepak Gupta, Ashish Khanna, Amit Kumar Jaiswal, Romany F. Mansour, Joel J. P. C. Rodrigues, Pradeep Kumar Mallick and K. Shankar and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Sachin Kumar

114 papers receiving 2.9k citations

Hit Papers

Internet of Things is a revolutionary approach for future... 2019 2026 2021 2023 2019 2019 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sachin Kumar India 25 1.0k 563 527 459 447 122 3.1k
Farman Ali South Korea 36 1.4k 1.4× 673 1.2× 444 0.8× 618 1.3× 450 1.0× 150 4.3k
Sagheer Abbas Pakistan 40 1.4k 1.4× 991 1.8× 435 0.8× 1.0k 2.2× 713 1.6× 150 4.6k
Tarik A. Rashid Iraq 33 1.5k 1.4× 532 0.9× 265 0.5× 392 0.9× 452 1.0× 193 3.8k
Salama A. Mostafa Malaysia 36 1.5k 1.5× 1.2k 2.2× 574 1.1× 395 0.9× 651 1.5× 177 4.1k
Sweta Bhattacharya India 30 1.4k 1.4× 1.2k 2.1× 669 1.3× 844 1.8× 635 1.4× 61 4.3k
Taher M. Ghazal Malaysia 37 1.5k 1.4× 873 1.6× 443 0.8× 1.0k 2.3× 389 0.9× 155 4.5k
Munir Ahmad Pakistan 33 1.4k 1.4× 669 1.2× 414 0.8× 953 2.1× 327 0.7× 171 4.1k
Kuruva Lakshmanna India 23 876 0.8× 646 1.1× 242 0.5× 335 0.7× 420 0.9× 51 2.7k
Muhammad Umer Pakistan 30 1.1k 1.1× 275 0.5× 353 0.7× 436 0.9× 324 0.7× 115 2.5k
Chinmay Chakraborty India 38 1.4k 1.3× 1.2k 2.1× 686 1.3× 830 1.8× 769 1.7× 195 4.5k

Countries citing papers authored by Sachin Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sachin Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachin Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sachin Kumar. A scholar is included among the top collaborators of Sachin Kumar 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 Sachin Kumar. Sachin Kumar 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.
Singh, Kuljeet, et al.. (2025). Deep CP-CXR: A Deep Learning Model for Classification of Covid-19 and Pneumonia Disease Using Chest X-Ray Images. Annals of Data Science. 1 indexed citations
2.
Rani, Sita, Aman Kataria, Sachin Kumar, & Vinod Karar. (2024). A new generation cyber-physical system: A comprehensive review from security perspective. Computers & Security. 148. 104095–104095. 5 indexed citations
3.
Singh, Rajesh, Anita Gehlot, Praveen Kumar Malik, et al.. (2024). Microgrids 4.0: digitalization of microgrid with IoT and recent technology interventions. IET Communications. 19(1).
4.
Kumar, Sachin, Sita Rani, Shivani Sharma, & Hong Min. (2024). Multimodality Fusion Aspects of Medical Diagnosis: A Comprehensive Review. Bioengineering. 11(12). 1233–1233. 7 indexed citations
6.
Sharma, Shivani, et al.. (2024). An improved finegrained ciphertext policy based temporary keyword search on encrypted data for secure cloud storage. Scientific Reports. 14(1). 5264–5264. 4 indexed citations
7.
Kumar, Sachin, et al.. (2023). Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. 3299–3321. 24 indexed citations
8.
He, Tianxing, Tianle Wang, Sachin Kumar, et al.. (2023). On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. 12067–12097. 7 indexed citations
9.
Nagpal, Bharti, et al.. (2023). Evaluation of Remote Sensing and Meteorological parameters for Yield Prediction of Sugarcane (Saccharum officinarum L.) Crop. Brazilian Archives of Biology and Technology. 66. 5 indexed citations
10.
Rani, Preeti, Chandani Sharma, Janjhyam Venkata Naga Ramesh, et al.. (2023). Federated Learning-Based Misbehavior Detection for the 5G-Enabled Internet of Vehicles. IEEE Transactions on Consumer Electronics. 70(2). 4656–4664. 49 indexed citations
11.
Garg, Puneet, et al.. (2023). A Linear Quadratic Regression-Based Synchronised Health Monitoring System (SHMS) for IoT Applications. Electronics. 12(2). 309–309. 12 indexed citations
12.
Kumar, Sachin, et al.. (2023). Mitigating Societal Harms in Large Language Models. 1 indexed citations
13.
Mallick, Pradeep Kumar, et al.. (2022). A Tailored Particle Swarm and Egyptian Vulture Optimization-Based Synthetic Minority-Oversampling Technique for Class Imbalance Problem. Information. 13(8). 386–386. 2 indexed citations
14.
15.
Abdulsattar, Nejood Faisal, Firas Abedi, Hayder M. A. Ghanimi, et al.. (2022). Botnet Detection Employing a Dilated Convolutional Autoencoder Classifier with the Aid of Hybrid Shark and Bear Smell Optimization Algorithm-Based Feature Selection in FANETs. Big Data and Cognitive Computing. 6(4). 112–112. 16 indexed citations
16.
Kumar, Sachin, Biswajit Paria, & Yulia Tsvetkov. (2022). Gradient-based Constrained Sampling from Language Models. 2251–2277. 14 indexed citations
17.
Reddy, A. V., et al.. (2022). Integrated Design of Optimized Weighted Deep Feature Fusion Strategies for Skin Lesion Image Classification. Cancers. 14(22). 5716–5716. 5 indexed citations
18.
Khamparia, Aditya, et al.. (2020). Security Challenges and Cyber Forensic Ecosystem in IoT Driven BYOD Environment. IEEE Access. 8. 172770–172782. 22 indexed citations
19.
Kumar, Sachin, et al.. (2020). WEB BASED ADMISSION COUNSELLING SYSTEM. International Journal of Advanced Research in Computer Science. 11. 84–87.
20.
Yadav, Mukesh, et al.. (2013). Artificial Neural Network (ANN): Application in media optimization for industrialmicrobiology and comparison with response surface methodology (RSM). Advances in Applied Science Research. 4(4). 9 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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