Deepak Kumar

1.5k total citations
78 papers, 846 citations indexed

About

Deepak Kumar is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Deepak Kumar has authored 78 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 15 papers in Analytical Chemistry and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Deepak Kumar's work include Smart Agriculture and AI (29 papers), Spectroscopy and Chemometric Analyses (15 papers) and Plant Disease Management Techniques (11 papers). Deepak Kumar is often cited by papers focused on Smart Agriculture and AI (29 papers), Spectroscopy and Chemometric Analyses (15 papers) and Plant Disease Management Techniques (11 papers). Deepak Kumar collaborates with scholars based in India, United States and Iraq. Deepak Kumar's co-authors include Vinay Kukreja, Pradeepta Kumar Sarangi, Amandeep Kaur, Ankit Bansal, Vikas Solanki, G Geetanjali, Shruti Sharma, Deepali Gupta, Dalwinder Singh and Amitoj Singh and has published in prestigious journals such as Computers and Electronics in Agriculture, Multimedia Tools and Applications and Materials Today Proceedings.

In The Last Decade

Deepak Kumar

67 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Kumar India 15 291 124 117 116 98 78 846
Waleed Albattah Saudi Arabia 17 308 1.1× 207 1.7× 107 0.9× 209 1.8× 58 0.6× 55 902
Bobby D. Gerardo Philippines 13 332 1.1× 150 1.2× 106 0.9× 210 1.8× 28 0.3× 105 797
Sakshi Sakshi India 11 167 0.6× 123 1.0× 56 0.5× 134 1.2× 28 0.3× 49 648
Jaya Sil India 16 338 1.2× 270 2.2× 223 1.9× 327 2.8× 33 0.3× 101 1.1k
Adnan Zeb China 17 513 1.8× 96 0.8× 204 1.7× 189 1.6× 81 0.8× 34 972
Niketa Gandhi India 13 298 1.0× 47 0.4× 78 0.7× 142 1.2× 34 0.3× 40 658
Anupam Baliyan India 15 235 0.8× 81 0.7× 81 0.7× 141 1.2× 14 0.1× 36 767
J. Andrew India 14 229 0.8× 120 1.0× 91 0.8× 228 2.0× 19 0.2× 54 870
Amitabha Chakrabarty Bangladesh 16 118 0.4× 132 1.1× 42 0.4× 203 1.8× 32 0.3× 85 760
S. P. Raja India 13 197 0.7× 176 1.4× 50 0.4× 184 1.6× 15 0.2× 152 833

Countries citing papers authored by Deepak Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Kumar. A scholar is included among the top collaborators of Deepak 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 Deepak Kumar. Deepak 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, Deepak & Vinay Kukreja. (2025). CaiT-YOLOv9: hybrid transformer model for wheat leaf fungal head prediction and diseases classification. International Journal of Information Technology. 17(5). 2749–2763. 4 indexed citations
2.
Kumar, Deepak & Vinay Kukreja. (2025). Impact of image segmentation and feature sets in automated plant disease classification: a comprehensive review based on wheat plant images. Progress in Artificial Intelligence. 14(4). 451–504.
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Kumar, Deepak, Vinay Kukreja, & Amitoj Singh. (2024). A novel hybrid segmentation technique for identification of wheat rust diseases. Multimedia Tools and Applications. 83(29). 72221–72251. 14 indexed citations
6.
Kumar, Deepak & Vinay Kukreja. (2024). Image segmentation, classification, and recognition methods for wheat diseases: Two Decades’ systematic literature review. Computers and Electronics in Agriculture. 221. 109005–109005. 11 indexed citations
7.
Kumar, Deepak, et al.. (2024). Fast and Precise: YOLO-based Wheat Spot Blotch Recognition. 1–5. 1 indexed citations
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Kukreja, Vinay, et al.. (2023). Advancing Pear Disease Recognition: A Hybrid CNN-Random Forest Approach. 1–5. 1 indexed citations
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Kumar, Deepak, et al.. (2023). Combining Weather Classification and Mask RCNN for Accurate Wheat Rust Disease Prediction. 1–4. 5 indexed citations
14.
Kumar, Deepak & Vinay Kukreja. (2023). Combined CNN with STARGAN for Wheat Yellow Rust Disease Classification. International Journal of Computing and Digital Systems. 13(1). 1081–1095. 4 indexed citations
15.
Kumar, Deepak, Vinay Kukreja, Anuj Kumar Jain, & Ankit Bansal. (2023). Architecture Heritage Recognition Using YOLACT Instance Segmentation. 5. 214–219. 3 indexed citations
16.
Kumar, Deepak, et al.. (2022). Dissected Urdu Dots Recognition Using Image Compression and KNN Classifier. 34. 691–696. 3 indexed citations
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Kumar, Deepak & Vinay Kukreja. (2022). Early Recognition of Wheat Powdery Mildew Disease Based on Mask RCNN. 542–546. 6 indexed citations
19.
Patel, Tanvina, et al.. (2018). An Automatic Speech Transcription System for Manipuri Language.. Conference of the International Speech Communication Association. 2388–2389. 1 indexed citations
20.
Kapoor, Sanjay, et al.. (2012). An optimized e-Allotment algorithm for admissions in educational institutes. 1–5. 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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