Sujit Das

3.1k total citations · 1 hit paper
74 papers, 2.0k citations indexed

About

Sujit Das is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Environmental Engineering. According to data from OpenAlex, Sujit Das has authored 74 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Automotive Engineering, 20 papers in Electrical and Electronic Engineering and 15 papers in Environmental Engineering. Recurrent topics in Sujit Das's work include Environmental Impact and Sustainability (14 papers), Electric Vehicles and Infrastructure (12 papers) and Recycling and Waste Management Techniques (11 papers). Sujit Das is often cited by papers focused on Environmental Impact and Sustainability (14 papers), Electric Vehicles and Infrastructure (12 papers) and Recycling and Waste Management Techniques (11 papers). Sujit Das collaborates with scholars based in United States, India and United Kingdom. Sujit Das's co-authors include Joe Cresko, Diane Graziano, Matthew Riddle, Eric Masanet, Sachin Nimbalkar, Runze Huang, Rajive Dhingra, Susan Schexnayder, Fred Joseck and Venkata K.K. Upadhyayula and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Journal of Political Economy.

In The Last Decade

Sujit Das

70 papers receiving 1.9k citations

Hit Papers

Energy and emissions saving potential of additive manufac... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sujit Das United States 21 892 844 358 295 273 74 2.0k
Diane Graziano United States 14 576 0.6× 553 0.7× 168 0.5× 344 1.2× 121 0.4× 27 1.8k
Eskinder Gemechu Canada 25 561 0.6× 399 0.5× 721 2.0× 569 1.9× 229 0.8× 46 2.2k
Joe Cresko United States 14 569 0.6× 561 0.7× 144 0.4× 158 0.5× 119 0.4× 25 1.3k
Ahmad Mayyas United Arab Emirates 28 1.4k 1.6× 766 0.9× 1.2k 3.5× 245 0.8× 459 1.7× 109 3.3k
Felipe Cerdas Germany 22 479 0.5× 557 0.7× 474 1.3× 276 0.9× 388 1.4× 93 1.6k
Paul Compston Australia 35 1.7k 1.9× 542 0.6× 293 0.8× 132 0.4× 226 0.8× 115 3.2k
Paolo C. Priarone Italy 28 1.3k 1.5× 757 0.9× 364 1.0× 70 0.2× 112 0.4× 72 1.9k
Saurav Dixit India 33 1.4k 1.5× 623 0.7× 529 1.5× 148 0.5× 123 0.5× 228 3.7k
Yelin Deng China 32 824 0.9× 1.2k 1.5× 1.3k 3.6× 589 2.0× 250 0.9× 107 3.1k
Jack Jeswiet Canada 14 1.1k 1.2× 205 0.2× 424 1.2× 219 0.7× 231 0.8× 25 2.0k

Countries citing papers authored by Sujit Das

Since Specialization
Citations

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

Fields of papers citing papers by Sujit Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujit Das

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

All Works

20 of 20 papers shown
1.
Mandal, Mamun, Anamika Roy, Sujit Das, et al.. (2024). Food waste-based bio-fertilizers production by bio-based fermenters and their potential impact on the environment. Chemosphere. 353. 141539–141539. 15 indexed citations
2.
Das, Sujit, et al.. (2023). Imprecise covering ring star problem. Decision Making Applications in Management and Engineering. 6(1). 303–320. 1 indexed citations
3.
Ennis, Brandon, Sujit Das, & Robert E. Norris. (2023). Economic competitiveness of pultruded fiber composites for wind turbine applications. Composites Part B Engineering. 265. 110960–110960. 18 indexed citations
4.
Das, Sujit, et al.. (2022). Wheat Bran Hydrolysate Culture Medium Design for Talaromyces purpureogenus CFRM02 Pigment Production and Colour Characteristics. BioEnergy Research. 15(3). 1439–1448. 2 indexed citations
5.
McCall, James, Prakash Rao, Sachin Nimbalkar, et al.. (2021). U.S. Manufacturing Water Use Data and Estimates: Current State, Limitations, and Future Needs for Supporting Manufacturing Research and Development. ACS ES&T Water. 1(10). 2186–2196. 7 indexed citations
6.
Das, Sujit, et al.. (2020). The energy footprint of automotive electronic sensors. Sustainable materials and technologies. 25. e00195–e00195. 8 indexed citations
7.
Das, Sujit, et al.. (2020). The global energy footprint of information and communication technology electronics in connected Internet-of-Things devices. Sustainable Energy Grids and Networks. 24. 100408–100408. 34 indexed citations
8.
Huang, Runze, Matthew Riddle, Diane Graziano, et al.. (2017). Environmental and Economic Implications of Distributed Additive Manufacturing: The Case of Injection Mold Tooling. Journal of Industrial Ecology. 21(S1). 75 indexed citations
9.
Das, Sujit, et al.. (2016). Wide bandgap semiconductor opportunities in power electronics. 259–264. 38 indexed citations
10.
Das, Sujit, Diane Graziano, Venkata K.K. Upadhyayula, et al.. (2016). Vehicle lightweighting energy use impacts in U.S. light-duty vehicle fleet. Sustainable materials and technologies. 8. 5–13. 58 indexed citations
11.
Hanes, Rebecca, Sujit Das, & Alberta Carpenter. (2016). Reducing supply chain energy use in next-generation vehicle lightweighting. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
12.
Das, Sujit, et al.. (2014). Low Cost Carbon Fibre for Automotive Applications Part 1: Low Cost Carbon Fibre Development. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
13.
Dhingra, Rajive & Sujit Das. (2014). Life cycle energy and environmental evaluation of downsized vs. lightweight material automotive engines. Journal of Cleaner Production. 85. 347–358. 70 indexed citations
15.
Das, Sujit, et al.. (2010). Experimental Investigation on the Effect of Reinforcement Particles on the Forgeability and the Mechanical Properties of Aluminum Metal Matrix Composites. Materials Sciences and Applications. 1(5). 310–316. 24 indexed citations
16.
Das, Sujit, et al.. (2009). Evaluating knowledge benefits of automotive lightweighting materials R&D projects. Evaluation and Program Planning. 32(3). 300–309. 6 indexed citations
17.
Das, Sujit, et al.. (1999). Recycling of New Generation Vehicles. SAE technical papers on CD-ROM/SAE technical paper series. 1. 6 indexed citations
18.
Das, Sujit, et al.. (1995). Automobile recycling in the United States: Energy impacts and waste generation. Resources Conservation and Recycling. 14(3-4). 265–284. 55 indexed citations
19.
Das, Sujit, et al.. (1993). A national survey to assess current use of computerised information systems in obstetrics. BJOG An International Journal of Obstetrics & Gynaecology. 100(3). 205–208. 7 indexed citations
20.
Das, Sujit, et al.. (1992). Characteristics of Louisiana Dispensing Physicians. American Pharmacy. 32(10). 60–62. 1 indexed citations

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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