Akash Arora

1.3k citations
22 papers · 1.1k · h-index 15

Impact in

Papers in

Akash Arora

22 papers receiving 1.1k citations

Peers

Akash Arora
Comparison fields: 5 of 75
  • Polymers and Plastics 290
  • Surfaces, Coatings and Films 139
  • Materials Chemistry 856
  • Organic Chemistry 481
  • Biomaterials 174
Replace Christian Ligoure with:
Christian Ligoure France
Piotr Polanowski Poland
Hossein Ali Karimi‐Varzaneh Germany
Jeffrey D. Weinhold United States
С.И. Кучанов Russia
Bernd K. Appelt United States
David B. Adolf United Kingdom
C. C. Han United States
Bonghoon Chung South Korea
Leonid I. Klushin Russia
Akash Arora relative to Christian Ligoure France Christian Ligoure's profile →
Citations per field
00.5×3.7×
Christian Ligoure · 1×
Citations per year

Countries citing papers authored by Akash Arora

Since Specialization
Citations

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

Fields of papers citing papers by Akash Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Akash Arora, 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 Akash Arora Line = papers co-authored together Akash Arora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017255
2 2016176
3 2018129
4 2018124
5 201695
6 202050
7 201846
8 201745
9 202136
10 202128
11 201523
12 201621
13 202318
14 201817
15 199416
16 199511
17 201610
18 20169
19 20248
20 20208

About Akash Arora

Akash Arora is a scholar working on Materials Chemistry, Surfaces, Coatings and Films, Organic Chemistry, Fluid Flow and Transfer Processes and Polymers and Plastics, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (13 papers), Rheology and Fluid Dynamics Studies (5 papers), Machine Learning in Materials Science (5 papers), Polymer Surface Interaction Studies (5 papers), Advanced Polymer Synthesis and Characterization (5 papers), Theoretical and Computational Physics (4 papers), Polymer composites and self-healing (3 papers) and Material Dynamics and Properties (3 papers). The work is most often cited by research in Polymers and Plastics (290 citations), Surfaces, Coatings and Films (139 citations), Materials Chemistry (856 citations), Organic Chemistry (481 citations) and Biomaterials (174 citations). Akash Arora has collaborated with scholars based in United States, India and France. Frequent co-authors include Frank S. Bates, Kevin D. Dorfman, Kyungtae Kim, Ronald M. Lewis, David C. Morse, Marc A. Hillmyer, Morgan W. Schulze, Glenn H. Fredrickson, Kris T. Delaney and Bradley D. Olsen. Their work appears in journals such as Macromolecules, Journal of Applied Polymer Science, Proceedings of the National Academy of Sciences, ACS Macro Letters and Soft Matter.

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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