Deepak Panghal

583 total citations
11 papers, 401 citations indexed

About

Deepak Panghal is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Deepak Panghal has authored 11 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Industrial and Manufacturing Engineering, 3 papers in Automotive Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Deepak Panghal's work include Manufacturing Process and Optimization (6 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Image Processing and 3D Reconstruction (2 papers). Deepak Panghal is often cited by papers focused on Manufacturing Process and Optimization (6 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Image Processing and 3D Reconstruction (2 papers). Deepak Panghal collaborates with scholars based in India, Egypt and Saudi Arabia. Deepak Panghal's co-authors include Shailendra Kumar, Swapnil Vyavahare, Soham Teraiya, H.M.A. Hussein, Sachin Salunkhe, Dharmalingam Ganesan, Hariprasad Tarigonda, Siva Kumar Mahalingam, Rashmi Thakur and Rahul S Mor and has published in prestigious journals such as Neural Computing and Applications, Rapid Prototyping Journal and Processes.

In The Last Decade

Deepak Panghal

11 papers receiving 387 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 Panghal India 5 314 191 169 124 70 11 401
Samadhan Deshmukh India 6 241 0.8× 107 0.6× 136 0.8× 100 0.8× 54 0.8× 13 324
MOHAMED MOHAMED Qatar 7 254 0.8× 120 0.6× 165 1.0× 125 1.0× 57 0.8× 32 362
Cristina Martín–Doñate Spain 15 314 1.0× 196 1.0× 322 1.9× 56 0.5× 77 1.1× 29 486
Dimitrios Chaidas Greece 9 427 1.4× 210 1.1× 219 1.3× 149 1.2× 91 1.3× 10 473
Chao-Jung Lai Taiwan 7 329 1.0× 135 0.7× 119 0.7× 160 1.3× 94 1.3× 13 416
Mátyás Andó Hungary 11 263 0.8× 107 0.6× 267 1.6× 70 0.6× 61 0.9× 56 494
Jorge Manuel Mercado–Colmenero Spain 14 301 1.0× 187 1.0× 311 1.8× 55 0.4× 72 1.0× 24 463
N. Lokesh India 7 233 0.7× 78 0.4× 148 0.9× 123 1.0× 112 1.6× 12 454
Soham Teraiya India 6 277 0.9× 118 0.6× 169 1.0× 121 1.0× 73 1.0× 13 353

Countries citing papers authored by Deepak Panghal

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Panghal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Panghal

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

All Works

11 of 11 papers shown
1.
Ganesan, Dharmalingam, et al.. (2023). Optimization of Abrasive Water Jet Machining Process Parameters on Onyx Composite Followed by Additive Manufacturing. Processes. 11(8). 2263–2263. 7 indexed citations
2.
Thakur, Rashmi, et al.. (2022). Automated fabric inspection through convolutional neural network: an approach. Neural Computing and Applications. 35(5). 3805–3823. 6 indexed citations
3.
Panghal, Anupama, et al.. (2022). A study on adoption enablers of 3D printing technology for sustainable food supply chain. Management of Environmental Quality An International Journal. 34(4). 943–961. 2 indexed citations
4.
Vyavahare, Swapnil, Shailendra Kumar, & Deepak Panghal. (2020). Experimental study of surface roughness, dimensional accuracy and time of fabrication of parts produced by fused deposition modelling. Rapid Prototyping Journal. 26(9). 1535–1554. 80 indexed citations
5.
Vyavahare, Swapnil, Soham Teraiya, Deepak Panghal, & Shailendra Kumar. (2019). Fused deposition modelling: a review. Rapid Prototyping Journal. 26(1). 176–201. 269 indexed citations
6.
Panghal, Deepak, et al.. (2019). Feasibility of Using Simulation Technique for Line Balancing In Apparel Industry. Procedia Manufacturing. 30. 300–307. 27 indexed citations
7.
Panghal, Deepak, et al.. (2019). Automatic Seam Ripping System. Procedia Manufacturing. 30. 98–105. 1 indexed citations
8.
Salunkhe, Sachin, Deepak Panghal, Shailendra Kumar, & H.M.A. Hussein. (2016). An expert system for process planning of sheet metal parts produced on compound die for use in stamping industries. Sadhana. 41(8). 901–907. 4 indexed citations
9.
Panghal, Deepak, et al.. (2015). CAD system for automatic modelling of compound dies. Advances in Materials and Processing Technologies. 1(1-2). 130–142. 2 indexed citations
10.
Panghal, Deepak, et al.. (2015). An automatic system for deciding bend sequence of bending parts. Advances in Materials and Processing Technologies. 1(1-2). 143–154. 2 indexed citations
11.
Panghal, Deepak & Shailendra Kumar. (2013). An Expert System Framework for Design of Bending Die. 2(7). 163–167. 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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