Deepu Philip

1.1k total citations
53 papers, 805 citations indexed

About

Deepu Philip is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Deepu Philip has authored 53 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 7 papers in Electrical and Electronic Engineering and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Deepu Philip's work include Aerospace and Aviation Technology (6 papers), Terrorism, Counterterrorism, and Political Violence (5 papers) and Air Traffic Management and Optimization (4 papers). Deepu Philip is often cited by papers focused on Aerospace and Aviation Technology (6 papers), Terrorism, Counterterrorism, and Political Violence (5 papers) and Air Traffic Management and Optimization (4 papers). Deepu Philip collaborates with scholars based in India, Japan and United States. Deepu Philip's co-authors include Mainak Das, Gaurav Srivastava, Manas Roy, Niroj Kumar Sethy, Prashant Kumar, Peeyush Chandra, A. K. Ghosh, Sushil Kumar Singh, Kalpana Bhargava and Raj Kishore Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Deepu Philip

51 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepu Philip India 15 192 164 160 157 139 53 805
Dong‐Hee Lee South Korea 19 201 1.0× 191 1.2× 493 3.1× 64 0.4× 161 1.2× 98 1.3k
Jian Shao China 19 329 1.7× 274 1.7× 235 1.5× 230 1.5× 45 0.3× 70 1.1k
Tingting Chen China 15 101 0.5× 221 1.3× 313 2.0× 37 0.2× 62 0.4× 39 771
Xuhui Chen China 15 237 1.2× 122 0.7× 289 1.8× 104 0.7× 24 0.2× 75 791
Xiangyu Lin China 17 78 0.4× 226 1.4× 187 1.2× 93 0.6× 30 0.2× 91 1.1k
Yaxin Liu China 14 131 0.7× 239 1.5× 249 1.6× 62 0.4× 24 0.2× 79 687
Manish Gupta India 18 216 1.1× 196 1.2× 191 1.2× 105 0.7× 17 0.1× 85 803
Lingbo Kong China 21 156 0.8× 104 0.6× 421 2.6× 85 0.5× 26 0.2× 62 1.1k
Jiyoung Park South Korea 19 225 1.2× 153 0.9× 216 1.4× 35 0.2× 189 1.4× 51 1.2k
Muhammad Waqas Pakistan 20 177 0.9× 184 1.1× 910 5.7× 169 1.1× 64 0.5× 63 1.3k

Countries citing papers authored by Deepu Philip

Since Specialization
Citations

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

Fields of papers citing papers by Deepu Philip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepu Philip

This figure shows the co-authorship network connecting the top 25 collaborators of Deepu Philip. A scholar is included among the top collaborators of Deepu Philip 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 Deepu Philip. Deepu Philip 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, Prashant, et al.. (2024). Aerodynamic Parameter Estimation for Near-Stall Maneuver Using Neural Networks and Artificial Bee Colony Algorithm. Journal of Aerospace Engineering. 37(5). 1 indexed citations
2.
Kumar, Prashant, et al.. (2024). Low-cost development of a fully composite fixed-wing hybrid VTOL UAV. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 46(4). 4 indexed citations
3.
Philip, Deepu, et al.. (2023). Profiling terrorist organizations capable of high impact attacks. Cogent Social Sciences. 9(2).
4.
Kumar, Prashant, et al.. (2023). Design & Implementation of an Electric Fixed-wing Hybrid VTOL UAV for Asset Monitoring. Journal of Aerospace Technology and Management. 15. 8 indexed citations
5.
Kumar, Prashant, et al.. (2023). Data‐driven approach for estimating longitudinal aerodynamic parameters using neural artificial bee colony fusion algorithm. Asian Journal of Control. 27(1). 76–98. 2 indexed citations
6.
Kumar, Prashant, et al.. (2023). Modeling and prediction of powered parafoil unmanned aerial vehicle throttle and servo controls through artificial neural networks. SHILAP Revista de lepidopterología. 11. 1–16. 1 indexed citations
7.
Philip, Deepu, et al.. (2019). Disruptive Innovation in Aerospace and Defense in Indian MSME. 2(2). 118–131. 4 indexed citations
8.
Philip, Deepu, et al.. (2018). Water mediated dielectric polarizability and electron charge transport properties of high resistance natural fibers. Scientific Reports. 8(1). 2726–2726. 6 indexed citations
9.
Roy, Manas, et al.. (2017). An eco-friendly, low-power charge storage device from bio-tolerable nano cerium oxide electrodes for bioelectrical and biomedical applications. Biomedical Physics & Engineering Express. 4(2). 25041–25041. 6 indexed citations
10.
Sethy, Niroj Kumar, et al.. (2016). The role of photo-electric properties of silk cocoon membrane in pupal metamorphosis: A natural solar cell. Scientific Reports. 6(1). 21915–21915. 15 indexed citations
11.
Roy, Manas, Sushil Kumar Singh, Kalpana Bhargava, et al.. (2016). Soft magnetic memory of silk cocoon membrane. Scientific Reports. 6(1). 29214–29214. 9 indexed citations
12.
Das, Chinmaya Kumar, Gaurav Srivastava, Manas Roy, et al.. (2016). Nano-iron pyrite seed dressing: a sustainable intervention to reduce fertilizer consumption in vegetable (beetroot, carrot), spice (fenugreek), fodder (alfalfa), and oilseed (mustard, sesamum) crops. Nanotechnology for Environmental Engineering. 1(1). 54 indexed citations
13.
Singh, Sushil K., Manas Roy, Gaurav Srivastava, et al.. (2016). Nano iron pyrite (FeS2) exhibits bi-functional electrode character. RSC Advances. 6(20). 16859–16867. 33 indexed citations
14.
Singh, Amandeep, Deepu Philip, & J. Ramkumar. (2016). Green Index Quantification of a Unit Manufacturing Process through Simulation Experiments. Procedia CIRP. 41. 1131–1136. 2 indexed citations
15.
Das, Chinmaya Kumar, Gaurav Srivastava, Manav Saxena, et al.. (2016). The seed stimulant effect of nano iron pyrite is compromised by nano cerium oxide: regulation by the trace ionic species generated in the aqueous suspension of iron pyrite. RSC Advances. 6(71). 67029–67038. 21 indexed citations
16.
Sahu, Vikrant, Sonia Grover, Meenakshi Sharma, et al.. (2015). Heavily nitrogen doped, graphene supercapacitor from silk cocoon. Electrochimica Acta. 160. 244–253. 162 indexed citations
17.
18.
Markovitch, Dmitri G., et al.. (2014). Behavioral Reasons for New Product Failure: Does Overconfidence Induce Overforecasts?. Journal of Product Innovation Management. 32(5). 825–841. 34 indexed citations
19.
Markovitch, Dmitri G., et al.. (2014). Escalation of commitment in entrepreneurship-minded groups. International Journal of Entrepreneurial Behaviour & Research. 20(4). 302–323. 12 indexed citations
20.
Philip, Deepu & Peeyush Chandra. (1996). Flow of Eringen fluid (simple microfluid) through an artery with mild stenosis. International Journal of Engineering Science. 34(1). 87–99. 29 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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