Anuj Kumar

708 total citations
31 papers, 313 citations indexed

About

Anuj Kumar is a scholar working on Plant Science, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anuj Kumar has authored 31 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 9 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anuj Kumar's work include Smart Agriculture and AI (11 papers), Leaf Properties and Growth Measurement (6 papers) and Topic Modeling (5 papers). Anuj Kumar is often cited by papers focused on Smart Agriculture and AI (11 papers), Leaf Properties and Growth Measurement (6 papers) and Topic Modeling (5 papers). Anuj Kumar collaborates with scholars based in India, United Arab Emirates and Israel. Anuj Kumar's co-authors include Sonal Gupta, Mike Lewis, Rushin Shah, Michael White, Jinfeng Rao, Peyman Heidari, V. Vasu, Rajen Subba, Anusha Balakrishnan and Seungwhan Moon and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Multimedia Tools and Applications.

In The Last Decade

Anuj Kumar

24 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anuj Kumar India 8 147 97 71 54 19 31 313
B R Pushpa India 11 78 0.5× 130 1.3× 86 1.2× 71 1.3× 12 0.6× 41 304
Nusrat Jahan Bangladesh 11 95 0.6× 125 1.3× 37 0.5× 50 0.9× 9 0.5× 68 357
Md. Al-Amin Bangladesh 10 57 0.4× 65 0.7× 100 1.4× 30 0.6× 6 0.3× 22 328
Vaibhav Tiwari India 9 43 0.3× 195 2.0× 34 0.5× 76 1.4× 24 1.3× 26 347
Fathe Jeribi Saudi Arabia 10 83 0.6× 76 0.8× 48 0.7× 34 0.6× 8 0.4× 35 327
H. S. Nagendraswamy India 10 35 0.2× 98 1.0× 187 2.6× 49 0.9× 26 1.4× 29 357
Gulshan Saleem Pakistan 7 110 0.7× 147 1.5× 153 2.2× 62 1.1× 32 1.7× 15 357
Dhananjay Bisen India 9 66 0.4× 50 0.5× 16 0.2× 23 0.4× 11 0.6× 26 269
Siddhartha Kumar Arjaria India 7 97 0.7× 388 4.0× 29 0.4× 141 2.6× 54 2.8× 14 618
Bankim Patel India 9 73 0.5× 137 1.4× 32 0.5× 114 2.1× 10 0.5× 24 317

Countries citing papers authored by Anuj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuj Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Kumar. A scholar is included among the top collaborators of Anuj 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 Anuj Kumar. Anuj 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, Anuj, et al.. (2025). A comprehensive review of transformer models in brain tumor analysis. Expert Systems with Applications. 300. 130509–130509.
3.
Kumar, Anuj, et al.. (2025). Comparative Analysis of Transfer Learning Models for Brain Tumor Detection. Procedia Computer Science. 258. 2415–2424.
4.
Xin, Dong, Zhaojiang Lin, Andrea Madotto, et al.. (2025). Proactive Assistant Dialogue Generation from Streaming Egocentric Videos. 12055–12079.
5.
Ramesh, Ramesh, et al.. (2025). Weed suppression, grain yield and economics of wheat affected by weed management practices. Bangladesh Journal of Botany. 54(2). 361–368.
6.
Kumar, Anuj, et al.. (2024). A systematic review of trending technologies in non-invasive automatic brain tumor detection. Multimedia Tools and Applications. 84(25). 29967–30012. 1 indexed citations
7.
Kumar, Anuj, et al.. (2024). A hybrid framework for heterogeneous object detection amidst diverse and adverse weather conditions employing Enhanced-DARTS. International Journal of Information Technology. 7 indexed citations
8.
Moon, Seungwhan, Andrea Madotto, Zhaojiang Lin, et al.. (2024). AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model. 1314–1332. 14 indexed citations
9.
Kumar, Anuj, et al.. (2024). Gesture and Voice Controlled Virtual Mouse: A Review. 876–879. 1 indexed citations
10.
Sidhu, M. C., et al.. (2023). A deep learning-based approach for the identification of selected species of genus Euphorbia L.. International Journal of Information Technology. 15(5). 2435–2444. 4 indexed citations
11.
Kumar, Anuj, et al.. (2023). Deep Learning Techniques in Leaf Image Segmentation and Leaf Species Classification: A Survey. Wireless Personal Communications. 133(4). 2379–2410. 7 indexed citations
12.
Kumar, Anuj, et al.. (2023). Swarm Intelligence for Segmentation of Leaf Images. National Academy Science Letters. 46(5). 413–421. 1 indexed citations
13.
Kumar, Anuj, et al.. (2023). Deep learning for automatic identification of plants through leaf. Journal of Information and Optimization Sciences. 44(4). 709–716. 1 indexed citations
14.
Kumar, Anuj, et al.. (2023). Image-based automatic traffic lights detection system for autonomous cars: a review. Multimedia Tools and Applications. 82(17). 26135–26182. 15 indexed citations
15.
Kumar, Anuj, et al.. (2022). Deep ensemble learning for automatic medicinal leaf identification. International Journal of Information Technology. 14(6). 3089–3097. 38 indexed citations
16.
Heidari, Peyman, Arash Einolghozati, Shashank Jain, et al.. (2021). Getting to Production with Few-shot Natural Language Generation Models. 66–76. 9 indexed citations
17.
Jain, Shashank, Peyman Heidari, Xintong Li, et al.. (2021). Building Adaptive Acceptability Classifiers for Neural NLG. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 682–697. 6 indexed citations
18.
Rao, Jinfeng, et al.. (2019). A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog. 95–100. 11 indexed citations
19.
Kumar, Anuj. (2018). Automated Classification of chest X-ray images as normal or abnormal using Convolutional Neural Network. 2 indexed citations
20.
Gupta, Sonal, et al.. (2018). Semantic Parsing for Task Oriented Dialog using Hierarchical Representations. 2787–2792. 98 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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