Devdas M. Pai

786 citations
62 papers · 672 · h-index 12

Impact in

  • Biomaterials top 10%
    • Magnesium Alloys: Properties and Applications
    • Electrospun Nanofibers in Biomedical Applications
    • Metal and Thin Film Mechanics

Papers in

    • Engineering Education and Pedagogy 16
    • Engineering Education and Curriculum Development 7
    • Experimental Learning in Engineering 4

Devdas M. Pai

51 papers receiving 660 citations

Peers

Devdas M. Pai
Comparison fields: 5 of 49
  • Biomaterials 109
  • Mechanics of Materials 167
  • Renewable Energy, Sustainability and the Environment 87
  • Architecture 18
  • Materials Chemistry 114
Replace Yulong Shi with:
Yulong Shi China
Ye Wang China
Sourav Chatterjee United States
Junjie Ni China
Muhammad Imran Bashir Pakistan
Jessica Gilabert Spain
Christian Dresbach Germany
Chenyang Li China
Haoqi Li China
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Citations per field
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Citations per year

Countries citing papers authored by Devdas M. Pai

Since Specialization
Citations

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

Fields of papers citing papers by Devdas M. Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devdas M. Pai. 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 Devdas M. Pai. The network helps show where Devdas M. Pai may publish in the future.

Co-authors

The 25 scholars most cited alongside Devdas M. Pai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devdas M. Pai Line = papers co-authored together Devdas M. Pai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201390
2 200584
3 201772
4 201064
5 201660
6 201056
7 201147
8 200633
9 201023
10 201520
11 200714
12 201614
13 199612
14 200810
15 20169
16 20087
17 19974
18 20084
19 20084
20 20204

About Devdas M. Pai

Devdas M. Pai is a scholar working on Architecture, Media Technology, Mechanics of Materials, Biomaterials and Biomedical Engineering, having authored 62 papers that have together received 672 indexed citations. Recurring topics across this work include Engineering Education and Pedagogy (16 papers), Advancements in Solid Oxide Fuel Cells (8 papers), Metal and Thin Film Mechanics (8 papers), Engineering Education and Curriculum Development (7 papers), Magnesium Alloys: Properties and Applications (7 papers), Nanotechnology research and applications (6 papers), Experimental Learning in Engineering (4 papers) and Career Development and Diversity (3 papers). The work is most often cited by research in Biomaterials (109 citations), Mechanics of Materials (167 citations), Renewable Energy, Sustainability and the Environment (87 citations), Architecture (18 citations) and Materials Chemistry (114 citations). Devdas M. Pai has collaborated with scholars based in United States and India. Frequent co-authors include Jagannathan Sankar, Jag Sankar, K.S. Rajam, Harish Chandra Barshilia, B. Deepthi, Sergey N. Yarmolenko, Udhab Adhikari, Shalil Khanal, Nava P. Rijal and Narayan Bhattarai. Their work appears in journals such as Surface and Coatings Technology, Materials, Composites Part B Engineering, Tire Science and Technology and Physica C Superconductivity.

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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