Deepa Kodali

440 citations
17 papers · 295 · h-index 10

Impact in

Papers in

    • Electrospun Nanofibers in Biomedical Applications 4
    • biodegradable polymer synthesis and properties 4
    • Biomimetic flight and propulsion mechanisms 4
    • Aerospace Engineering and Energy Systems 3

Deepa Kodali

16 papers receiving 283 citations

Peers

Deepa Kodali
Comparison fields: 5 of 62
  • Automotive Engineering 92
  • Biomaterials 87
  • Polymers and Plastics 57
  • Aerospace Engineering 67
  • Building and Construction 24
Replace Onorio Iervolino with:
Onorio Iervolino United Kingdom
Matthew J. Donough Australia
Juan Xie China
Yihui Pan China
J.L. Liu Singapore
Sebastian F. Fischer Germany
James Carpenter New Zealand
Olivier Sicot France
P. S. M. Rajesh India
M. Muthukrishnan India
Deepa Kodali relative to Onorio Iervolino United Kingdom Onorio Iervolino's profile →
Citations per field
00.5×3.7×
Onorio Iervolino · 1×
Citations per year

Countries citing papers authored by Deepa Kodali

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Kodali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Deepa Kodali, 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 Deepa Kodali Line = papers co-authored together Deepa Kodali links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202055
2 202144
3 201733
4 202326
5 202225
6 202020
7 202119
8 201719
9 202115
10 201612
11 20258
12 20207
13 20235
14
Analytical Aeroelastic Models for Chordwise and Spanwise Flexible Flapping Wings in Forward Flight
20193
15 20232
16 20202
17 20210

About Deepa Kodali

Deepa Kodali is a scholar working on Biomaterials, Aerospace Engineering, Biomedical Engineering, Automotive Engineering and Polymers and Plastics, having authored 17 papers that have together received 295 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (4 papers), Natural Fiber Reinforced Composites (4 papers), biodegradable polymer synthesis and properties (4 papers), Biomimetic flight and propulsion mechanisms (4 papers), Bone Tissue Engineering Materials (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Aerospace Engineering and Energy Systems (3 papers) and Polymer Nanocomposites and Properties (3 papers). The work is most often cited by research in Automotive Engineering (92 citations), Biomaterials (87 citations), Polymers and Plastics (57 citations), Aerospace Engineering (67 citations) and Building and Construction (24 citations). Deepa Kodali has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Vijaya Rangari, Shaik Jeelani, Chang-Kwon Kang, Suresh Akella, Gurumurthy Hegde, Esperidiana A. B. Moura, Nathan Slegers, Md‐Jamal Uddin, D. Landrum and Temesgen Samuel. Their work appears in journals such as Journal of Applied Polymer Science, Journal of Composite Materials, Bioinspiration & Biomimetics, ACS Omega and JOM.

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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