Deya Das

1.5k citations
15 papers · 1.3k · 1 hit paper · h-index 10

Impact in

Papers in

Deya Das

15 papers receiving 1.3k citations

Deya Das's Hit Papers

Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions 2018 · 350 citations
3500+2+5Years since publication100200300

Peers

Deya Das
Comparison fields: 5 of 75
  • Materials Chemistry 995
  • Renewable Energy, Sustainability and the Environment 345
  • Electrical and Electronic Engineering 531
  • Computational Theory and Mathematics 117
  • Electronic, Optical and Magnetic Materials 128
Replace Shuaihua Lu with:
Shuaihua Lu China
Mouyi Weng China
Guozheng Fan China
Harikrishna Sahu United States
Geng Li China
Michael T. Y. Paul Canada
Ronghao Wang China
Kan Hatakeyama‐Sato Japan
Siddharth Deshpande United States
Susanta Bera India
Deya Das relative to Shuaihua Lu China Shuaihua Lu's profile →
Citations per field
00.5×10×15.6×
Shuaihua Lu · 1×
Citations per year

Countries citing papers authored by Deya Das

Since Specialization
Citations

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

Fields of papers citing papers by Deya Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions
Hit paper breakdown →
2018350
2 2018284
3 2017155
4 2017137
5 2014119
6 201390
7 201743
8 201835
9 201828
10 201617
11 20215
12 20194
13 20143
14 20191
15 20211

About Deya Das

Deya Das is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Automotive Engineering, Renewable Energy, Sustainability and the Environment and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Graphene research and applications (7 papers), Advancements in Battery Materials (7 papers), Advanced Battery Materials and Technologies (6 papers), 2D Materials and Applications (5 papers), MXene and MAX Phase Materials (3 papers), Advanced Battery Technologies Research (3 papers), Advanced Photocatalysis Techniques (2 papers) and Topological Materials and Phenomena (2 papers). The work is most often cited by research in Materials Chemistry (995 citations), Renewable Energy, Sustainability and the Environment (345 citations), Electrical and Electronic Engineering (531 citations), Computational Theory and Mathematics (117 citations) and Electronic, Optical and Magnetic Materials (128 citations). Deya Das has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Abhishek K. Singh, Ritesh Kumar, Rampi Ramprasad, Anand Chandrasekaran, Chiho Kim, Tran Doan Huan, Kwang‐Ryeol Lee, Sang Soo Han, Seungchul Kim and Shubhadeep Pal. Their work appears in journals such as Physical Chemistry Chemical Physics, The Journal of Physical Chemistry C, Chemistry of Materials, ACS Energy Letters and Journal of Catalysis.

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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