Anurag Kumar

683 total citations · 1 hit paper
13 papers, 503 citations indexed

About

Anurag Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Anurag Kumar has authored 13 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Anurag Kumar's work include Vehicle License Plate Recognition (2 papers), Handwritten Text Recognition Techniques (2 papers) and Advanced battery technologies research (2 papers). Anurag Kumar is often cited by papers focused on Vehicle License Plate Recognition (2 papers), Handwritten Text Recognition Techniques (2 papers) and Advanced battery technologies research (2 papers). Anurag Kumar collaborates with scholars based in India, Vietnam and United Arab Emirates. Anurag Kumar's co-authors include Dibakar Rakshit, Marouane Temimi, Paul Hill, David Bull, Prabhakar Sharma, Zafar Said, Ashok Pandey, Changhe Li, Anh Tuan Hoang and Sandro Nižetić and has published in prestigious journals such as Renewable Energy, Energy & Fuels and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Anurag Kumar

11 papers receiving 490 citations

Hit Papers

Recent Advances in Machine Learning Research for Nanoflui... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anurag Kumar India 8 150 120 103 93 49 13 503
Helen Shang Canada 16 183 1.2× 152 1.3× 296 2.9× 46 0.5× 39 0.8× 45 719
Abir Mouldi Saudi Arabia 15 333 2.2× 235 2.0× 117 1.1× 89 1.0× 58 1.2× 52 749
Seung Jae Lee South Korea 14 44 0.3× 48 0.4× 134 1.3× 314 3.4× 45 0.9× 60 736
Min-Ho Park South Korea 11 39 0.3× 83 0.7× 19 0.2× 40 0.4× 34 0.7× 50 336
Seung‐Mok Lee South Korea 13 66 0.4× 46 0.4× 19 0.2× 115 1.2× 20 0.4× 48 542
Van Ga Bui Vietnam 16 136 0.9× 424 3.5× 94 0.9× 130 1.4× 203 4.1× 50 918
Jianguo Zhao China 13 123 0.8× 47 0.4× 42 0.4× 266 2.9× 87 1.8× 91 575
Xiaobo Luo United Kingdom 15 634 4.2× 236 2.0× 55 0.5× 77 0.8× 28 0.6× 22 836
Zhipeng Xu China 11 55 0.4× 49 0.4× 38 0.4× 90 1.0× 48 1.0× 57 441
Niaz Ahmed China 12 56 0.4× 39 0.3× 167 1.6× 383 4.1× 55 1.1× 32 680

Countries citing papers authored by Anurag Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anurag Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurag Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Anurag Kumar. A scholar is included among the top collaborators of Anurag 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 Anurag Kumar. Anurag Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Kumar, Anurag, et al.. (2025). AV-CrossNet: An Audiovisual Complex Spectral Mapping Network for Speech Separation by Leveraging Narrow- and Cross-Band Modeling. IEEE Journal of Selected Topics in Signal Processing. 19(4). 685–694.
2.
Nguyen, Van Nhanh, Prabhakar Sharma, Anurag Kumar, et al.. (2023). Optimization of biodiesel production from Nahar oil using Box-Behnken design, ANOVA and grey wolf optimizer. International Journal of Renewable Energy Development. 12(4). 711–719. 11 indexed citations
3.
Sharma, Prabhakar, Zafar Said, Anurag Kumar, et al.. (2022). Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System. Energy & Fuels. 36(13). 6626–6658. 235 indexed citations breakdown →
4.
Kumar, Anurag & Dibakar Rakshit. (2021). A critical review on waste heat recovery utilization with special focus on Organic Rankine Cycle applications. Cleaner Engineering and Technology. 5. 100292–100292. 54 indexed citations
5.
Hill, Paul, Anurag Kumar, Marouane Temimi, & David Bull. (2020). HABNet: Machine Learning, Remote Sensing-Based Detection of Harmful Algal Blooms. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3229–3239. 98 indexed citations
6.
Gaur, Anurag, et al.. (2020). An efficient green energy production by Li-doped Fe3O4 hydroelectric cell. Renewable Energy. 162. 1952–1957. 18 indexed citations
7.
Gaur, Anurag, et al.. (2020). Fabrication of a SnO2-Based Hydroelectric Cell for Green Energy Production. ACS Omega. 5(18). 10240–10246. 30 indexed citations
9.
11.
Kumar, Anurag, et al.. (2017). A novel superpixel based color spatial feature for salient object detection. 1–5. 22 indexed citations
12.
Kumar, Krishan, et al.. (2017). D-CAD. 100–105. 27 indexed citations
13.
Shukla, Praveen Kumar, et al.. (2014). Developing a Genetic Fuzzy System Model for Cost-Benefit Analysis.. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY. 13(4). 4416–4421. 2 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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