Sachin Kumar

535 total citations
23 papers, 331 citations indexed

About

Sachin Kumar is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Demography. According to data from OpenAlex, Sachin Kumar has authored 23 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Demography. Recurrent topics in Sachin Kumar's work include Global Educational Reforms and Inequalities (7 papers), COVID-19 diagnosis using AI (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Sachin Kumar is often cited by papers focused on Global Educational Reforms and Inequalities (7 papers), COVID-19 diagnosis using AI (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Sachin Kumar collaborates with scholars based in India, Saudi Arabia and Nepal. Sachin Kumar's co-authors include Kuljeet Singh, Vibhakar Mansotra, Sourabh Shastri, Isha Kansal, Rajneesh Rani, Neeraj Mohan, Surbhi Gupta, Anand Sharma, Mohit Singla and Chandan Mukherjee and has published in prestigious journals such as Scientific Reports, Virology and Dalton Transactions.

In The Last Decade

Sachin Kumar

18 papers receiving 319 citations

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 7 190 169 110 30 29 23 331
Sourabh Shastri India 8 192 1.0× 175 1.0× 113 1.0× 31 1.0× 36 1.2× 19 366
Yuting Chi China 5 158 0.8× 114 0.7× 100 0.9× 13 0.4× 38 1.3× 7 294
Zohair Malki Saudi Arabia 5 103 0.5× 103 0.6× 152 1.4× 16 0.5× 30 1.0× 11 331
Byung-Won On South Korea 4 195 1.0× 189 1.1× 148 1.3× 15 0.5× 28 1.0× 7 391
Julio Cesar Monica Mexico 2 71 0.4× 82 0.5× 102 0.9× 11 0.4× 31 1.1× 2 209
Qiyang Ge United States 4 166 0.9× 108 0.6× 164 1.5× 8 0.3× 41 1.4× 6 308
Jiayang Li China 6 78 0.4× 88 0.5× 124 1.1× 11 0.4× 29 1.0× 12 297
S. Dhamodharavadhani India 7 69 0.4× 71 0.4× 68 0.6× 20 0.7× 14 0.5× 13 209
Yazeed Zoabi Israel 7 203 1.1× 147 0.9× 42 0.4× 15 0.5× 49 1.7× 11 425
Nusrat Rouf India 3 142 0.7× 135 0.8× 25 0.2× 20 0.7× 8 0.3× 5 342

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.
Kumar, Sachin, et al.. (2026). “When Education Becomes Competitive, Character Often Becomes Secondary”: Shadow Education and Character Development: A Critical Analysis. RESEARCH REVIEW International Journal of Multidisciplinary. 11(1). 136–151.
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Kumar, Sachin, et al.. (2025). PSYCHOLOGICAL COSTS OF ACADEMIC SUCCESS: EXAMINING THE IMPACT OF SHADOW EDUCATION ON CHILDREN'S MENTAL HEALTH. International Journal of Research -GRANTHAALAYAH. 13(9).
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Kumar, Sachin, et al.. (2025). Transforming Schools with Total Quality Management: A Strategy to Address Shadow Education. 14(6). 10–18. 1 indexed citations
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Kumar, Sachin, et al.. (2025). Confronting the Challenges Faced by the Beneficiaries of Shadow Education during COVID-19: An Anecdotal Analysis. MIER Journal of Educational Studies Trends & Practices. 240–259. 2 indexed citations
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Kumar, Sachin, et al.. (2023). Niclosamide inhibits Newcastle disease virus replication in chickens by perturbing the cellular glycolysis. Virology. 585. 196–204. 2 indexed citations
11.
Kumar, Sachin, Sourabh Shastri, Kuljeet Singh, et al.. (2022). LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images. International Journal of Imaging Systems and Technology. 32(5). 1464–1480. 21 indexed citations
12.
Shastri, Sourabh, et al.. (2022). CheXImageNet: a novel architecture for accurate classification of Covid-19 with chest x-ray digital images using deep convolutional neural networks. Health and Technology. 12(1). 193–204. 36 indexed citations
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Kumar, Sachin, et al.. (2022). Deep Cp-Cxr: A Deep Learning Model for Identification of Covid-19 and Pneumonia Disease Using Chest X-Ray Images. SSRN Electronic Journal. 1 indexed citations
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Shastri, Sourabh, et al.. (2021). GBoost: A novel Grading-AdaBoost ensemble approach for automatic identification of erythemato-squamous disease. International Journal of Information Technology. 13(3). 959–971. 11 indexed citations
16.
Shastri, Sourabh, et al.. (2021). Deep-LSTM ensemble framework to forecast Covid-19: an insight to the global pandemic. International Journal of Information Technology. 13(4). 1291–1301. 45 indexed citations
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Shastri, Sourabh, et al.. (2021). CoBiD-net: a tailored deep learning ensemble model for time series forecasting of covid-19. Spatial Information Research. 30(1). 9–22. 15 indexed citations
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Shastri, Sourabh, et al.. (2020). A nested stacking ensemble model for predicting districts with high and low maternal mortality ratio (MMR) in India. International Journal of Information Technology. 13(2). 433–446. 7 indexed citations
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Shastri, Sourabh, et al.. (2020). Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study. Chaos Solitons & Fractals. 140. 110227–110227. 175 indexed citations
20.
Kumar, Sachin, et al.. (2010). ETIOLOGY, SYMPTOMS AND TREATMENT OF APERT SYNDROME, A CONGENITAL DISORDER: AN OVERVIEW. International Journal of Pharma and Bio Sciences. 3 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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