Deepak Thakur

1.6k total citations
66 papers, 1.1k citations indexed

About

Deepak Thakur is a scholar working on Biomedical Engineering, Mechanical Engineering and Signal Processing. According to data from OpenAlex, Deepak Thakur has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 15 papers in Mechanical Engineering and 12 papers in Signal Processing. Recurrent topics in Deepak Thakur's work include Network Security and Intrusion Detection (11 papers), Catalysis and Hydrodesulfurization Studies (11 papers) and Advanced Malware Detection Techniques (11 papers). Deepak Thakur is often cited by papers focused on Network Security and Intrusion Detection (11 papers), Catalysis and Hydrodesulfurization Studies (11 papers) and Advanced Malware Detection Techniques (11 papers). Deepak Thakur collaborates with scholars based in India, United States and Saudi Arabia. Deepak Thakur's co-authors include Abraham Clearfield, H. E. Nuttall, Michael G. Thomas, Jaiteg Singh, Farman Ali, Arunabha Kundu, Michael G. Thomas, Kyung Sup Kwak, Asif Afzal and C. Ahamed Saleel and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry and Journal of Catalysis.

In The Last Decade

Deepak Thakur

62 papers receiving 1.1k 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 Thakur India 18 392 370 305 190 162 66 1.1k
Liangxiong Li United States 19 895 2.3× 392 1.1× 292 1.0× 143 0.8× 129 0.8× 43 2.0k
Mohammed El‐Meligy Saudi Arabia 22 131 0.3× 228 0.6× 307 1.0× 56 0.3× 51 0.3× 54 1.3k
Hong Nie China 21 569 1.5× 228 0.6× 715 2.3× 109 0.6× 52 0.3× 111 1.4k
Xudong Liu China 28 316 0.8× 280 0.8× 409 1.3× 111 0.6× 28 0.2× 133 2.4k
Emre Yavuz Türkiye 23 148 0.4× 237 0.6× 174 0.6× 124 0.7× 350 2.2× 61 1.9k
Zhenghao Wang China 19 341 0.9× 301 0.8× 69 0.2× 44 0.2× 92 0.6× 92 1.3k
Jingyuan Sun China 22 563 1.4× 540 1.5× 214 0.7× 73 0.4× 62 0.4× 139 1.7k
Xia Zhang China 17 534 1.4× 244 0.7× 232 0.8× 58 0.3× 24 0.1× 60 1.2k
Han Hu China 15 139 0.4× 141 0.4× 314 1.0× 229 1.2× 39 0.2× 40 1.3k
George M. Bollas United States 31 1.1k 2.7× 1.4k 3.8× 540 1.8× 219 1.2× 70 0.4× 89 2.4k

Countries citing papers authored by Deepak Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Thakur

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Thakur. A scholar is included among the top collaborators of Deepak Thakur 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 Thakur. Deepak Thakur 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.
Thakur, Deepak, et al.. (2024). Enhanced diagnostic accuracy for multiple lung diseases using a fine-tuned MobileNetV2 model with advanced pre-processing techniques. Expert Systems with Applications. 259. 125272–125272. 1 indexed citations
2.
Babu, J. M., K. Sunil Kumar, Ümit Ağbulut, et al.. (2023). Production of HHO gas in the water-electrolysis unit and the influences of its introduction to CI engine along with diesel-biodiesel blends at varying injection pressures. International Journal of Hydrogen Energy. 52. 865–885. 20 indexed citations
3.
Raja, Vijayanandh, Parvathy Rajendran, Hussein A.Z. AL-bonsrulah, et al.. (2023). Design, Computational Aerodynamic, Aerostructural, and Control Stability Investigations of VTOL-Configured Hybrid Blended Wing Body-Based Unmanned Aerial Vehicle for Intruder Inspections. International Journal of Aerospace Engineering. 2023. 1–31. 9 indexed citations
4.
Thakur, Deepak, et al.. (2023). Slow Heat‐Based Hybrid Simulated Annealing Algorithm in Vehicular Ad Hoc Network. Computational Intelligence and Neuroscience. 2023(1). 9918748–9918748. 2 indexed citations
5.
Thakur, Deepak & Arjun Singh. (2023). Exploring Machine Learning Algorithms for Reliable Water Quality Prediction. International Journal for Research in Applied Science and Engineering Technology. 11(9). 1437–1443. 1 indexed citations
6.
Thakur, Deepak, et al.. (2023). An enhanced diabetes prediction amidst COVID-19 using ensemble models. Frontiers in Public Health. 11. 1331517–1331517. 3 indexed citations
7.
Thakur, Deepak. (2023). A Review on the Medicinal Significance of Heterocyclic Compounds. International Journal for Research in Applied Science and Engineering Technology. 11(7). 351–357. 2 indexed citations
8.
9.
Razak, Abdul, Saad Alshahrani, Abhishek Sharma, et al.. (2022). Vibration analysis of composite exhaust manifold for diesel engine using CFD. Case Studies in Thermal Engineering. 32. 101853–101853. 4 indexed citations
10.
Thakur, Deepak, et al.. (2022). Android malware classification using feature fusion and AdaBoost learning. AIP conference proceedings. 2458. 100013–100013. 1 indexed citations
11.
Singh, Jaiteg, et al.. (2021). Dominant Feature Selection and Machine Learning-Based Hybrid Approach to Analyze Android Ransomware. Security and Communication Networks. 2021. 1–22. 39 indexed citations
12.
Thakur, Deepak, et al.. (2016). Urban and rural disparity in tobacco use and knowledge about oral cancer among adolescents: An epidemiological survey on 12 and 15-year school going students. Journal of International Society of Preventive and Community Dentistry. 6(9). 226–226. 12 indexed citations
13.
Thakur, Deepak & Jaiteg Singh. (2015). The SAFE miner: A fine grained aspect level approach for resolving the sentiment. 1–6. 5 indexed citations
14.
Thakur, Deepak, et al.. (2001). Effect of split application of potassium with FYM on rice (Oryza sativa). Indian Journal of Agronomy. 44(2).
15.
Vasudevan, Palligarnai T. & Deepak Thakur. (1994). Soluble and immobilized catalase. Applied Biochemistry and Biotechnology. 49(3). 173–189. 17 indexed citations
16.
Wu, Qiuxuan, S. Gőbölös, Deepak Thakur, Francis Delannay, & B. Delmon. (1986). Characterization of Fe and Ni-promoted unsupported MoS2 catalysts and their precursors via thermal effects in temperature-programmed reactions. Journal of thermal analysis. 31(4). 835–843. 1 indexed citations
17.
Nuttall, H. E., et al.. (1983). The geology, geochemistry, and pyrolysis kinetics of several key world oil shales. 1 indexed citations
18.
Thakur, Deepak & Michael G. Thomas. (1983). Catalyst deactivation during direct coal liquefaction. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5(6). e2215596–e2215596. 1 indexed citations
19.
Clearfield, Abraham, et al.. (1982). Metal dispersions on zirconium phosphates. 1. Hydrogen reduction of copper-exchanged .alpha.-zirconium phosphate. The Journal of Physical Chemistry. 86(4). 500–506. 5 indexed citations
20.
Thakur, Deepak. (1981). Cyclohexanol dehydration over zirconium phosphates of varying crystallinity. Journal of Catalysis. 69(1). 230–233. 22 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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