Poonam Pandey

50 total papers · 1.2k total citations
36 papers, 950 citations indexed

About

Poonam Pandey is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Poonam Pandey has authored 36 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Civil and Structural Engineering, 12 papers in Mechanics of Materials and 12 papers in Mechanical Engineering. Recurrent topics in Poonam Pandey's work include Structural Load-Bearing Analysis (9 papers), Metal Forming Simulation Techniques (6 papers) and Composite Structure Analysis and Optimization (5 papers). Poonam Pandey is often cited by papers focused on Structural Load-Bearing Analysis (9 papers), Metal Forming Simulation Techniques (6 papers) and Composite Structure Analysis and Optimization (5 papers). Poonam Pandey collaborates with scholars based in India, United States and Malaysia. Poonam Pandey's co-authors include Sudhirkumar V. Barai, Sairam S. Mallajosyula, S. Kumar, K. Chattopadhyay, Alexander D. MacKerell, Nithin Baler, Surendra Kumar Makineni, Vinal Patel, Nithin V. George and Chandra Sekhar Tiwary and has published in prestigious journals such as The Journal of Physical Chemistry B, Acta Materialia and Physical Chemistry Chemical Physics.

In The Last Decade

Poonam Pandey

36 papers receiving 907 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Poonam Pandey 374 363 259 184 167 36 950
C. S. Hong 879 2.4× 278 0.8× 478 1.8× 191 1.0× 27 0.2× 59 1.2k
Mathias Röllig 704 1.9× 159 0.4× 399 1.5× 142 0.8× 28 0.2× 47 1.1k
Liang Li 333 0.9× 231 0.6× 237 0.9× 166 0.9× 88 0.5× 69 966
Kai Guo 136 0.4× 281 0.8× 156 0.6× 303 1.6× 44 0.3× 35 1.1k
Tao Yu 281 0.8× 348 1.0× 272 1.1× 118 0.6× 28 0.2× 63 857
Rolf H. Luchsinger 122 0.3× 236 0.7× 363 1.4× 43 0.2× 37 0.2× 42 802
Hua Zhou 177 0.5× 127 0.3× 85 0.3× 199 1.1× 56 0.3× 55 888
Lingxin Zhang 438 1.2× 235 0.6× 106 0.4× 289 1.6× 74 0.4× 60 999
Shengyu Chen 142 0.4× 222 0.6× 42 0.2× 212 1.2× 131 0.8× 46 808
Toshio NAGASHIMA 579 1.5× 210 0.6× 208 0.8× 48 0.3× 41 0.2× 94 1000

Countries citing papers authored by Poonam Pandey

Since Specialization
Citations

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

Fields of papers citing papers by Poonam Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Pandey

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

All Works

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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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