Ravi Kumar Sachdeva

429 total citations
24 papers, 236 citations indexed

About

Ravi Kumar Sachdeva is a scholar working on Health Information Management, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ravi Kumar Sachdeva has authored 24 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health Information Management, 8 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Ravi Kumar Sachdeva's work include Artificial Intelligence in Healthcare (14 papers), AI in cancer detection (5 papers) and Machine Learning in Healthcare (3 papers). Ravi Kumar Sachdeva is often cited by papers focused on Artificial Intelligence in Healthcare (14 papers), AI in cancer detection (5 papers) and Machine Learning in Healthcare (3 papers). Ravi Kumar Sachdeva collaborates with scholars based in India, Jordan and United Kingdom. Ravi Kumar Sachdeva's co-authors include Pooja Rani, Vinay Kukreja, Rakesh Ahuja, Vikas Solanki, Amanpreet Kaur, Rishabh Sharma, Rohit Lamba, Anurag Jain, Rajneesh Kumar and Tushar Garg and has published in prestigious journals such as Neural Computing and Applications, Archives of Computational Methods in Engineering and International Journal of Systems Assurance Engineering and Management.

In The Last Decade

Ravi Kumar Sachdeva

18 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ravi Kumar Sachdeva India 9 76 58 44 25 23 24 236
Md. Sagar Hossen Bangladesh 9 76 1.0× 74 1.3× 60 1.4× 49 2.0× 16 0.7× 15 248
Ali Samad Pakistan 8 103 1.4× 96 1.7× 20 0.5× 17 0.7× 42 1.8× 19 263
Sheak Rashed Haider Noori Bangladesh 11 78 1.0× 121 2.1× 47 1.1× 23 0.9× 16 0.7× 46 308
Muhammad Minoar Hossain Bangladesh 9 22 0.3× 74 1.3× 45 1.0× 32 1.3× 40 1.7× 35 241
S. M. Mahedy Hasan Bangladesh 12 111 1.5× 139 2.4× 18 0.4× 44 1.8× 38 1.7× 64 340
Dhananjay Bisen India 9 73 1.0× 66 1.1× 50 1.1× 16 0.6× 28 1.2× 26 269
Nahed Sharmen Bangladesh 7 35 0.5× 69 1.2× 20 0.5× 15 0.6× 18 0.8× 9 191
Md. Ashiqul Islam Bangladesh 9 75 1.0× 95 1.6× 159 3.6× 38 1.5× 22 1.0× 20 365
Koushick Barua Bangladesh 6 20 0.3× 57 1.0× 28 0.6× 17 0.7× 12 0.5× 7 181
Taminul Islam United States 9 43 0.6× 96 1.7× 25 0.6× 25 1.0× 33 1.4× 20 206

Countries citing papers authored by Ravi Kumar Sachdeva

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Kumar Sachdeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Kumar Sachdeva

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Kumar Sachdeva. A scholar is included among the top collaborators of Ravi Kumar Sachdeva 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 Ravi Kumar Sachdeva. Ravi Kumar Sachdeva 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.
Lamba, Rohit, Pooja Rani, Ravi Kumar Sachdeva, et al.. (2025). An Optimized Predictive Machine Learning Model for Lung Cancer Diagnosis. Biomedical & Pharmacology Journal. 18(December Spl Edition). 85–98. 2 indexed citations
2.
Rani, Pooja, et al.. (2024). A machine learning model for Alzheimer's disease prediction. IET Cyber-Physical Systems Theory & Applications. 9(2). 125–134. 16 indexed citations
3.
Sachdeva, Ravi Kumar, et al.. (2024). Predicting Cardiovascular Disease Risk with Machine Learning. 45–49.
4.
Sachdeva, Ravi Kumar, et al.. (2024). A novel K-nearest neighbor classifier for lung cancer disease diagnosis. Neural Computing and Applications. 36(35). 22403–22416. 2 indexed citations
5.
Rani, Pooja, Rajneesh Kumar, Anurag Jain, et al.. (2024). An Extensive Review of Machine Learning and Deep Learning Techniques on Heart Disease Classification and Prediction. Archives of Computational Methods in Engineering. 31(6). 3331–3349. 22 indexed citations
6.
Rani, Pooja, Rajneesh Kumar, Anurag Jain, et al.. (2023). PCA-DNN: A Novel Deep Neural Network Oriented System for Breast Cancer Classification. EAI Endorsed Transactions on Pervasive Health and Technology. 9. 6 indexed citations
7.
8.
Sachdeva, Ravi Kumar, et al.. (2023). Empowering Hepatitis Diagnosis Using RFE Feature Selection. 1–5. 2 indexed citations
9.
Sachdeva, Ravi Kumar, Pooja Rani, Rohit Lamba, et al.. (2023). Failure Prediction Model for Prognostic Health Management in Machine Systems. 1–5.
10.
Rani, Pooja, et al.. (2023). Diabetes Prediction Using Machine Learning Classification Algorithms. 1–5. 7 indexed citations
11.
Sachdeva, Ravi Kumar, et al.. (2023). An Organized Method for Heart Failure Classification. 1–6. 8 indexed citations
12.
Sachdeva, Ravi Kumar, et al.. (2023). Predictive Method for Diabetes using Machine Learning. 52–57.
13.
Sachdeva, Ravi Kumar, et al.. (2023). A systematic method for diagnosis of hepatitis disease using machine learning. Innovations in Systems and Software Engineering. 19(1). 71–80. 26 indexed citations
14.
Rani, Pooja, Rohit Lamba, Ravi Kumar Sachdeva, et al.. (2023). Heart Disease Prediction Using Bayesian Optimized Classification Algorithms. 1–5.
15.
Sachdeva, Ravi Kumar, et al.. (2022). A Machine Learning-Based Framework for Diagnosis of Breast Cancer. International Journal of Software Innovation. 10(1). 1–11. 14 indexed citations
16.
Sachdeva, Ravi Kumar, et al.. (2022). A Systematic Method for Breast Cancer Classification using RFE Feature Selection. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 1673–1676. 53 indexed citations
17.
Sachdeva, Ravi Kumar, et al.. (2022). A Systematic Method for Lung Cancer Classification. 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). 1–5. 14 indexed citations
18.
Kukreja, Vinay, Rishabh Sharma, Amanpreet Kaur, Ravi Kumar Sachdeva, & Vikas Solanki. (2022). Deep Neural Network for Multi-Classification of Parsley Leaf Spot Disease Detection. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 1378–1382. 51 indexed citations
19.
Ahuja, Rakesh, et al.. (2022). Significance, Techniques, and Challenges in Driver Drowsiness Issue: A Guide Tour. 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). 12. 1–5. 1 indexed citations
20.
Sachdeva, Ravi Kumar. (2019). Model Driven Development of New Web Application Features by Extending IFML. 1 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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2026