Satyabrata Dash

722 total citations
38 papers, 462 citations indexed

About

Satyabrata Dash is a scholar working on Biomaterials, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Satyabrata Dash has authored 38 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomaterials, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Media Technology. Recurrent topics in Satyabrata Dash's work include Nanocomposite Films for Food Packaging (8 papers), biodegradable polymer synthesis and properties (7 papers) and Remote Sensing and Land Use (6 papers). Satyabrata Dash is often cited by papers focused on Nanocomposite Films for Food Packaging (8 papers), biodegradable polymer synthesis and properties (7 papers) and Remote Sensing and Land Use (6 papers). Satyabrata Dash collaborates with scholars based in India, Taiwan and Lebanon. Satyabrata Dash's co-authors include Sarat K. Swain, Subhendu Kumar Pani, Sujata Chakravarty, Lingaraj Behera, Rajesh K. Singh, Niladri Sarkar, Nimay Chandra Giri, Biswajit Rath, Georgios Fotis and Sachi Nandan Mohanty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Carbohydrate Polymers.

In The Last Decade

Satyabrata Dash

31 papers receiving 450 citations

Peers

Satyabrata Dash

BIOMA

Eko Setijadi Indonesia

Yingying Zhang China

Wenchao Wu China

Z. J. Guo China

Rudi Kurniawan Indonesia

Junxia Liu China

Shan Du China

Haitao Zhang China

Camille François France

Eko Setijadi Indonesia

Satyabrata Dash

63 ×0.3

BIOMA

25 ×0.2

83 ×1.1

93 ×1.8

28 ×0.6

Citations per year, relative to Satyabrata Dash Satyabrata Dash (= 1×) peers Eko Setijadi

Countries citing papers authored by Satyabrata Dash

Since Specialization

Citations

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

Fields of papers citing papers by Satyabrata Dash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satyabrata Dash

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

All Works

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20 of 20 papers shown

Das, Sudipta, et al.. (2025). Enhancing Traffic Monitoring Systems through Image Analysis and Rule-Based Machine Learning. Procedia Computer Science. 258. 2119–2129.

Chakravarty, Sujata, et al.. (2025). Precision pest management in agriculture using Inception V3 and EfficientNet B4: A deep learning approach for crop protection. Information Processing in Agriculture. 13(1). 142–161.

Dash, Satyabrata, Sujata Chakravarty, Nimay Chandra Giri, & Rohit Khargotra. (2025). Evaluating sustainable wind energy sources with multiple criteria decision-making (MCDM) techniques. Computers & Electrical Engineering. 123. 110285–110285. 6 indexed citations

Chakravarty, Sujata, et al.. (2025). An interactive AI-based crop and pest management system leveraging transfer learning for enhanced sustainable agriculture. Modeling Earth Systems and Environment. 11(4). 1 indexed citations

Dash, Satyabrata, et al.. (2024). Performance Assessment of Different Sustainable Energy Systems Using Multiple-Criteria Decision-Making Model and Self-Organizing Maps. SHILAP Revista de lepidopterología. 12(3). 42–42. 19 indexed citations

Dash, Satyabrata, Sujata Chakravarty, Nimay Chandra Giri, Ephraim Bonah Agyekum, & Kareem M. AboRas. (2024). Minimum Noise Fraction and Long Short-Term Memory Model for Hyperspectral Imaging. International Journal of Computational Intelligence Systems. 17(1). 7 indexed citations

Dash, Satyabrata, et al.. (2024). CRAMP: Clustering-based RANs association and MEC placement for delay-sensitive applications. Journal of Network and Computer Applications. 227. 103893–103893. 1 indexed citations

Dash, Satyabrata, et al.. (2024). HCSRL: hyperledger composer system for reducing logistics losses in the pharmaceutical product supply chain using a blockchain-based approach. Scientific Reports. 14(1). 13528–13528.

Dash, Satyabrata, et al.. (2023). In vitro study of antioxidant, antimicrobial, and anticancer activities of two selected cyanobacteria found across Odisha coast, India. Systems Microbiology and Biomanufacturing. 4(1). 348–363. 8 indexed citations

10.

Gupta, Nidhi, Sujata Chakravarty, & Satyabrata Dash. (2023). Deep Learning Technique for Real-Time Forest Fire Detection from Video Streams. 19. 1–4.

11.

Dash, Satyabrata, et al.. (2023). Antioxidant and antimicrobial activities and GC/MS-based phytochemical analysis of two traditional Lichen species Trypethellium virens and Phaeographis dendritica. Journal of Genetic Engineering and Biotechnology. 21(1). 41–41. 3 indexed citations

12.

Dash, Satyabrata, et al.. (2022). Commercial Initiation of Feather Hydrolysate as Supreme Fertilizer: A Smart Bio-Cleaning Strategy of Poultry Waste. Waste and Biomass Valorization. 14(7). 2151–2166. 5 indexed citations

13.

Dash, Satyabrata, et al.. (2021). A Deep Learning Method to Forecast COVID-19 Outbreak. New Generation Computing. 39(3-4). 515–539. 16 indexed citations

14.

Dash, Satyabrata, et al.. (2021). Hyperspectral Image Classification using SVM with PCA. 470–475. 15 indexed citations

15.

Dash, Satyabrata, et al.. (2017). COEXISTENCE OF POLYMORPHISM IN FECUNDITY GENES BMPR 1B AND GDF 9 OF INDIAN KENDRAPADA SHEEP. SHILAP Revista de lepidopterología. 3 indexed citations

16.

Swain, Sarat K., et al.. (2017). Preparation and characterization of bionanocomposites based on soluble starch/nano CaCO₃. Polymer Composites. 39(S1). 15 indexed citations

17.

Dash, Satyabrata & Sarat K. Swain. (2013). Synthesis of thermal and chemical resistant oxygen barrier starch with reinforcement of nano silicon carbide. Carbohydrate Polymers. 97(2). 758–763. 29 indexed citations

18.

Swain, Sarat K., et al.. (2013). Cellulose nanobiocomposites with reinforcement of boron nitride: Study of thermal, oxygen barrier and chemical resistant properties. Carbohydrate Polymers. 95(2). 728–732. 44 indexed citations

19.

Dash, Satyabrata, et al.. (2013). Dispersion of SiC nanoparticles in cellulose for study of tensile, thermal and oxygen barrier properties. Carbohydrate Polymers. 99. 306–310. 21 indexed citations

20.

Dash, Satyabrata & Sarat K. Swain. (2013). Effect of nanoboron nitride on the physical and chemical properties of soy protein. Composites Science and Technology. 84. 39–43. 35 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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