Kanwarpartap Singh Gill

1.3k total citations · 1 hit paper
192 papers, 662 citations indexed

About

Kanwarpartap Singh Gill is a scholar working on Artificial Intelligence, Plant Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kanwarpartap Singh Gill has authored 192 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 32 papers in Plant Science and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kanwarpartap Singh Gill's work include Smart Agriculture and AI (24 papers), Artificial Intelligence in Healthcare (18 papers) and COVID-19 diagnosis using AI (14 papers). Kanwarpartap Singh Gill is often cited by papers focused on Smart Agriculture and AI (24 papers), Artificial Intelligence in Healthcare (18 papers) and COVID-19 diagnosis using AI (14 papers). Kanwarpartap Singh Gill collaborates with scholars based in India, Taiwan and Saudi Arabia. Kanwarpartap Singh Gill's co-authors include Vatsala Anand, Rupesh Gupta, Avinash Sharma, Sheifali Gupta, Hani Alshahrani, Adel Sulaiman, Rahul Chauhan, Mana Saleh Al Reshan, Asadullah Shaikh and Deepak Banerjee and has published in prestigious journals such as Healthcare and 2022 6th International Conference on Electronics, Communication and Aerospace Technology.

In The Last Decade

Kanwarpartap Singh Gill

126 papers receiving 648 citations

Hit Papers

Detection of Pneumonia from Chest X-ray Images Utilizing ... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kanwarpartap Singh Gill India 10 155 100 99 83 51 192 662
L V Narasimha Prasad India 12 137 0.9× 220 2.2× 117 1.2× 85 1.0× 69 1.4× 54 665
K. S. Reddy India 14 246 1.6× 84 0.8× 86 0.9× 91 1.1× 63 1.2× 63 588
Kemal Adem Türkiye 13 250 1.6× 301 3.0× 165 1.7× 159 1.9× 76 1.5× 47 877
Kaniz Fatema Bangladesh 9 181 1.2× 40 0.4× 78 0.8× 56 0.7× 35 0.7× 31 487
Ninni Singh India 14 117 0.8× 42 0.4× 53 0.5× 81 1.0× 21 0.4× 28 427
Muhammad Kashif Pakistan 10 114 0.7× 106 1.1× 62 0.6× 84 1.0× 14 0.3× 20 495
Naresh Kumar Trivedi India 13 99 0.6× 319 3.2× 36 0.4× 64 0.8× 38 0.7× 73 615
Mehmet Akif Çifçi Türkiye 11 220 1.4× 44 0.4× 93 0.9× 40 0.5× 39 0.8× 31 531
Venkatramaphanikumar Sistla India 10 122 0.8× 181 1.8× 30 0.3× 74 0.9× 22 0.4× 34 450
Yaganteeswarudu Akkem India 6 151 1.0× 139 1.4× 25 0.3× 83 1.0× 35 0.7× 11 505

Countries citing papers authored by Kanwarpartap Singh Gill

Since Specialization
Citations

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

Fields of papers citing papers by Kanwarpartap Singh Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kanwarpartap Singh Gill. 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 Kanwarpartap Singh Gill. The network helps show where Kanwarpartap Singh Gill may publish in the future.

Co-authorship network of co-authors of Kanwarpartap Singh Gill

This figure shows the co-authorship network connecting the top 25 collaborators of Kanwarpartap Singh Gill. A scholar is included among the top collaborators of Kanwarpartap Singh Gill 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 Kanwarpartap Singh Gill. Kanwarpartap Singh Gill 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
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Gill, Kanwarpartap Singh, et al.. (2024). Advancing Multi-Class Brain Tumor Classification With DenseNet201 CNN Based Model Using MRI Images. 1–6. 2 indexed citations
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Gill, Kanwarpartap Singh, et al.. (2024). Healthcare Insurance Cost Classification Using Machine Learning's Linear Regression Approach. 1–6. 1 indexed citations
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Gill, Kanwarpartap Singh, et al.. (2024). From Pixels to Insights: Harnessing Deep Learning for Accurate Plant Pathology Diagnosis. 1–5. 1 indexed citations
11.
Gill, Kanwarpartap Singh, et al.. (2024). Comparative Analysis of Cassava Leaf Disease Prediction Using the Deep Learning Approach. 1369–1373. 4 indexed citations
12.
Gill, Kanwarpartap Singh, et al.. (2024). Musical Genres Classification Utilizing the Pre-trained ResNet50 CNN Model and Deep Learning Techniques. 1–5. 1 indexed citations
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Banerjee, Deepak, et al.. (2023). A Hybrid CNN and Random Forest Approach for Wheat Disease Detection. 1–5. 2 indexed citations
17.
Gill, Kanwarpartap Singh, Vatsala Anand, & Rupesh Gupta. (2023). Categorization of Chocolates Using Robust Sequential Model on RMS Prop Optimizer. 43. 1–4. 7 indexed citations
18.
Gill, Kanwarpartap Singh, Vatsala Anand, Rupesh Gupta, & Sheifali Gupta. (2023). Face Mask Detection Using ResNet50 Model and fine tuning it on various hyperactive parameters. 7. 1–4. 2 indexed citations
19.
Reshan, Mana Saleh Al, Kanwarpartap Singh Gill, Vatsala Anand, et al.. (2023). Detection of Pneumonia from Chest X-ray Images Utilizing MobileNet Model. Healthcare. 11(11). 1561–1561. 115 indexed citations breakdown →
20.
Gill, Kanwarpartap Singh, Avinash Sharma, Vatsala Anand, & Rupesh Gupta. (2022). Brain Tumor Detection using VGG19 model on Adadelta and SGD Optimizer. 2022 6th International Conference on Electronics, Communication and Aerospace Technology. 1407–1412. 55 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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