Dileswar Pradhan

807 total citations · 1 hit paper
21 papers, 570 citations indexed

About

Dileswar Pradhan is a scholar working on Biomaterials, Plant Science and Biomedical Engineering. According to data from OpenAlex, Dileswar Pradhan has authored 21 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomaterials, 7 papers in Plant Science and 7 papers in Biomedical Engineering. Recurrent topics in Dileswar Pradhan's work include Advanced Cellulose Research Studies (6 papers), Lignin and Wood Chemistry (5 papers) and Phytochemicals and Antioxidant Activities (5 papers). Dileswar Pradhan is often cited by papers focused on Advanced Cellulose Research Studies (6 papers), Lignin and Wood Chemistry (5 papers) and Phytochemicals and Antioxidant Activities (5 papers). Dileswar Pradhan collaborates with scholars based in Ireland and India. Dileswar Pradhan's co-authors include Amit K. Jaiswal, Swarna Jaiswal, S. Abdullah, Rama Chandra Pradhan, Kalpani Y. Perera, Sabyasachi Mishra, Shubham Sharma, Brijesh K. Tiwari, Ajit Mishra and Brendan Duffy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Carbohydrate Polymers.

In The Last Decade

Dileswar Pradhan

21 papers receiving 566 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Emerging technologies for the production of nanocellulose from lignocellulosic biomass

2022 195 citations Dileswar Pradhan, Amit K. Jaiswal et al. Carbohydrate Polymers profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dileswar Pradhan Ireland	11	285	165	88	88	51	21	570
V.K. Gupta India	11	409 1.4×	145 0.9×	127 1.4×	121 1.4×	55 1.1×	18	694
Mahshid Heydari Iran	8	172 0.6×	97 0.6×	102 1.2×	60 0.7×	43 0.8×	10	433
Zhiheng Hu China	14	275 1.0×	96 0.6×	140 1.6×	113 1.3×	70 1.4×	33	659
Clara Suprani Marques Brazil	15	236 0.8×	76 0.5×	172 2.0×	89 1.0×	47 0.9×	30	549
Shiyu Xu China	9	265 0.9×	91 0.6×	88 1.0×	77 0.9×	24 0.5×	15	421
Mst. Sarmina Yeasmin Bangladesh	11	287 1.0×	173 1.0×	121 1.4×	142 1.6×	55 1.1×	32	665
Roya Koshani Canada	18	343 1.2×	184 1.1×	165 1.9×	112 1.3×	75 1.5×	33	699
Fangxue Hang China	15	97 0.3×	174 1.1×	88 1.0×	115 1.3×	63 1.2×	41	622
Raquel E. Martini Argentina	15	219 0.8×	208 1.3×	108 1.2×	103 1.2×	42 0.8×	40	660
Mailson Matos Brazil	14	233 0.8×	233 1.4×	60 0.7×	119 1.4×	22 0.4×	28	528

Countries citing papers authored by Dileswar Pradhan

Since Specialization

Citations

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

Fields of papers citing papers by Dileswar Pradhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dileswar Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Dileswar Pradhan. A scholar is included among the top collaborators of Dileswar Pradhan 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 Dileswar Pradhan. Dileswar Pradhan 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

Perera, Kalpani Y., et al.. (2025). Biodegradable curcumin-nanoclay films for extending shrimp shelf-life and freshness. Current Research in Food Science. 10. 101102–101102. 3 indexed citations

Pradhan, Dileswar, Swarna Jaiswal, Brijesh K. Tiwari, & Amit K. Jaiswal. (2025). Ultrasound-Assisted sequential processing of barley straw using binary acidic and hydrated ternary deep eutectic solvents for nanocellulose production. Ultrasonics Sonochemistry. 118. 107376–107376. 1 indexed citations

Pradhan, Dileswar, et al.. (2024). Characterization of Spent Grain from Irish Whiskey Distilleries for Biorefinery Feedstock Potential to Produce High-Value Chemicals and Biopolymers. Applied Sciences. 14(24). 11577–11577. 2 indexed citations

Pradhan, Dileswar, Swarna Jaiswal, Brijesh K. Tiwari, & Amit K. Jaiswal. (2024). Nanocellulose separation from barley straw via ultrasound-assisted choline chloride – Formic acid deep eutectic solvent pretreatment and high-intensity ultrasonication. Ultrasonics Sonochemistry. 110. 107048–107048. 10 indexed citations

Pradhan, Dileswar, Swarna Jaiswal, Brijesh K. Tiwari, & Amit K. Jaiswal. (2024). Choline chloride – oxalic acid dihydrate deep eutectic solvent pretreatment of Barley straw for production of cellulose nanofibers. International Journal of Biological Macromolecules. 281(Pt 2). 136213–136213. 13 indexed citations

Malla, Muneer Ahmad, Anamika Dubey, Ashwani Kumar, et al.. (2022). Process optimization of cypermethrin biodegradation by regression analysis and parametric modeling along with biochemical degradation pathway. Environmental Science and Pollution Research. 29(51). 77418–77427. 16 indexed citations

Pradhan, Dileswar, Amit K. Jaiswal, & Swarna Jaiswal. (2022). Nanocellulose Based Green Nanocomposites: Characteristics and Application in Primary Food Packaging. Food Reviews International. 39(9). 7148–7179. 16 indexed citations

Pradhan, Dileswar, Amit K. Jaiswal, & Swarna Jaiswal. (2022). Emerging technologies for the production of nanocellulose from lignocellulosic biomass. Carbohydrate Polymers. 285. 119258–119258. 195 indexed citations breakdown →

Sharma, Shubham, Kalpani Y. Perera, Dileswar Pradhan, et al.. (2022). Active Packaging Film Based on Poly Lactide-Poly (Butylene Adipate-Co-Terephthalate) Blends Incorporated with Tannic Acid and Gallic Acid for the Prolonged Shelf Life of Cherry Tomato. Coatings. 12(12). 1902–1902. 19 indexed citations

10.

Pradhan, Dileswar, Swarna Jaiswal, & Amit K. Jaiswal. (2022). Artificial neural networks in valorization process modeling of lignocellulosic biomass. Biofuels Bioproducts and Biorefining. 16(6). 1849–1868. 28 indexed citations

11.

Perera, Kalpani Y., Shubham Sharma, Dileswar Pradhan, Amit K. Jaiswal, & Swarna Jaiswal. (2021). Seaweed Polysaccharide in Food Contact Materials (Active Packaging, Intelligent Packaging, Edible Films, and Coatings). Foods. 10(9). 2088–2088. 82 indexed citations

12.

Pradhan, Dileswar, Monjurul Hoque, Sushil Kumar Singh, & Madhuresh Dwivedi. (2021). APPLICATION OF D-OPTIMAL MIXTURE DESIGN AND ARTIFICIAL NEURAL NETWORK IN OPTIMIZING THE COMPOSITION OF FLOURS FOR PREPARATION OF GLUTEN-FREE BREAD. Journal of Microbiology Biotechnology and Food Sciences. 11(2). e3294–e3294. 2 indexed citations

13.

Pradhan, Dileswar & Ajit Mishra. (2021). Analysis of ISO VG 68 bearing oil for condition monitoring collected from an externally pressurized ball bearing system. Materials Today Proceedings. 44. 4602–4606. 10 indexed citations

14.

Pradhan, Dileswar, S. Abdullah, & Rama Chandra Pradhan. (2020). Chironji (Buchanania lanzan) fruit juice extraction using cellulase enzyme: modelling and optimization of process by artificial neural network and response surface methodology. Journal of Food Science and Technology. 58(3). 1051–1060. 31 indexed citations

15.

Abdullah, S., et al.. (2020). Modeling and optimization of pectinase-assisted low-temperature extraction of cashew apple juice using artificial neural network coupled with genetic algorithm. Food Chemistry. 339. 127862–127862. 87 indexed citations

16.

Pradhan, Dileswar & Rama Chandra Pradhan. (2020). Integration of artificial neural network with genetic algorithm for an optimum performance of a Chironji (<i>Buchanania lanzan</i>) nut decorticator. 7(2). 87–87. 4 indexed citations

17.

Pradhan, Dileswar & Rama Chandra Pradhan. (2020). Optimization of process parameters using a hybrid intelligent system model and evaluation of physicochemical properties of microwave roasted Chironji (Buchanania lanzan) kernels. Journal of Food Measurement & Characterization. 14(6). 2956–2969. 4 indexed citations

18.

Pradhan, Dileswar, S. Abdullah, & Rama Chandra Pradhan. (2020). Optimization of Pectinase Assisted Extraction of Chironji (Buchanania Lanzan) Fruit Juice Using Response Surface Methodology and Artificial Neural Network. International Journal of Fruit Science. 20(sup2). S318–S336. 17 indexed citations

19.

Pradhan, Dileswar, et al.. (2020). Optimization of hot air and microwave pretreatment for enhancing the mechanical expression yield of Simarouba glauca oil. Journal of Agriculture and Food Research. 2. 100024–100024. 6 indexed citations

20.

Pradhan, Dileswar & Rama Chandra Pradhan. (2020). Application of a neural network mathematical model in the development of hot air roasting process technology for Chironji (Buchanania lanzan) kernels. Journal of Food Processing and Preservation. 44(12). 6 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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