Daiva Mikučionienė

849 total citations
66 papers, 632 citations indexed

About

Daiva Mikučionienė is a scholar working on Polymers and Plastics, Building and Construction and Mechanics of Materials. According to data from OpenAlex, Daiva Mikučionienė has authored 66 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Polymers and Plastics, 18 papers in Building and Construction and 14 papers in Mechanics of Materials. Recurrent topics in Daiva Mikučionienė's work include Textile materials and evaluations (44 papers), Dyeing and Modifying Textile Fibers (18 papers) and Mechanical Behavior of Composites (11 papers). Daiva Mikučionienė is often cited by papers focused on Textile materials and evaluations (44 papers), Dyeing and Modifying Textile Fibers (18 papers) and Mechanical Behavior of Composites (11 papers). Daiva Mikučionienė collaborates with scholars based in Lithuania, Ukraine and Bangladesh. Daiva Mikučionienė's co-authors include Md. Reazuddin Repon, Rimvydas Milašius, Sabyasachi Gaan, Milijana Jović, Khalifah A. Salmeia, Tarikul Islam, Mohammad Abdul Jalil, Md. Rezaul Karim, Mosab Kaseem and Pablo Diaz-García and has published in prestigious journals such as RSC Advances, Materials and European Journal of Applied Physiology.

In The Last Decade

Daiva Mikučionienė

63 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daiva Mikučionienė Lithuania 14 440 163 141 86 82 66 632
Banu Nergıs Türkiye 14 408 0.9× 150 0.9× 191 1.4× 75 0.9× 56 0.7× 41 633
Małgorzata Matusiak Poland 16 430 1.0× 86 0.5× 117 0.8× 68 0.8× 118 1.4× 69 664
Cevza Candan Türkiye 15 517 1.2× 166 1.0× 260 1.8× 97 1.1× 60 0.7× 52 788
Faten Fayala Tunisia 13 337 0.8× 97 0.6× 171 1.2× 78 0.9× 36 0.4× 37 575
Ka-Po Maggie Tang Hong Kong 15 308 0.7× 95 0.6× 143 1.0× 56 0.7× 86 1.0× 28 456
G. Ramakrishnan India 19 620 1.4× 107 0.7× 215 1.5× 127 1.5× 109 1.3× 39 721
Jelka Geršak Slovenia 16 465 1.1× 72 0.4× 130 0.9× 127 1.5× 86 1.0× 64 684
Vinay Kumar Midha India 12 314 0.7× 171 1.0× 81 0.6× 39 0.5× 29 0.4× 51 579
Muhammad Maqsood Pakistan 15 385 0.9× 114 0.7× 66 0.5× 80 0.9× 33 0.4× 48 657
Asis Patnaik South Africa 12 408 0.9× 152 0.9× 197 1.4× 120 1.4× 21 0.3× 34 709

Countries citing papers authored by Daiva Mikučionienė

Since Specialization
Citations

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

Fields of papers citing papers by Daiva Mikučionienė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiva Mikučionienė

This figure shows the co-authorship network connecting the top 25 collaborators of Daiva Mikučionienė. A scholar is included among the top collaborators of Daiva Mikučionienė 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 Daiva Mikučionienė. Daiva Mikučionienė 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.
Repon, Md. Reazuddin, et al.. (2025). Progress in mosquito repellent textiles: factors, methods, and challenges. Materials Research Express. 12(12). 122002–122002. 1 indexed citations
2.
Mikučionienė, Daiva, et al.. (2024). COMPETENCES AND AWARENESS OF THE WATER FOOTPRINT IN THE TEXTILE SECTOR. EDULEARN proceedings. 1. 3748–3753. 1 indexed citations
3.
Mikučionienė, Daiva, Md. Reazuddin Repon, Rimvydas Milašius, et al.. (2024). Understanding and addressing the water footprint in the textile sector: A review. Autex Research Journal. 24(1). 15 indexed citations
4.
Mikučionienė, Daiva, et al.. (2024). Development of Knitted Compression Covers for Amputated Limbs. Fibers. 12(10). 80–80.
5.
Indrie, Liliana, et al.. (2024). Solutions to reduce the environmental pressure exerted by technicaltextiles: a review. Industria Textila. 75(1). 66–74. 4 indexed citations
6.
Mikučionienė, Daiva, et al.. (2024). Classification, Structure and Construction of Functional Orthopaedic Compression Knits for Medical Application: A Review. Applied Sciences. 14(11). 4486–4486. 6 indexed citations
7.
Mikučionienė, Daiva, et al.. (2024). Sustainable Approach to Development of Antimicrobial Textile Pads for Sweat Absorption. Fibers. 12(3). 20–20. 2 indexed citations
8.
Repon, Md. Reazuddin, et al.. (2023). Development of Antimicrobial and Antistatic Textile for Industrial Air Management Systems. Fibres and Textiles in Eastern Europe. 31(4). 75–82. 2 indexed citations
9.
Hossain, Gaffar, José V. Ros‐Lis, Daiva Mikučionienė, et al.. (2023). Advanced and Smart Textiles during and after the COVID-19 Pandemic: Issues, Challenges, and Innovations. Healthcare. 11(8). 1115–1115. 10 indexed citations
10.
Repon, Md. Reazuddin, et al.. (2021). Development of Antimicrobial Cotton Fabric Impregnating AgNPs Utilizing Contemporary Practice. Coatings. 11(11). 1413–1413. 21 indexed citations
11.
Repon, Md. Reazuddin, et al.. (2021). Fabrication and characterization of stretchable denim fabric using core spun yarn. Heliyon. 7(12). e08532–e08532. 22 indexed citations
12.
Mikučionienė, Daiva, et al.. (2014). Insertion of Electrospun Nanofibres into the Inner Structure of Textiles. Fibres and Textiles in Eastern Europe. 2 indexed citations
13.
Mikučionienė, Daiva, et al.. (2013). Influence of Inlay-Yarn Properties and Insertion Density on the Compression Properties of Knitted Orthopaedic Supports. Fibres and Textiles in Eastern Europe. 11 indexed citations
14.
Mikučionienė, Daiva, et al.. (2013). Comparative Analysis of the Influence of Bamboo and Other Cellulose Fibres on Selected Structural Parameters and Physical Properties of Knitted Fabrics. Fibres and Textiles in Eastern Europe. 14 indexed citations
15.
Mikučionienė, Daiva, et al.. (2012). Influence of the Knitting Structure of Double-Layered Fabrics on the Heat Transfer Process. Fibres and Textiles in Eastern Europe. 40–43. 10 indexed citations
16.
Mikučionienė, Daiva, et al.. (2012). Influence of Plain Knits Structure on Flammability and Air Permeability. Fibres and Textiles in Eastern Europe. 16 indexed citations
17.
Mikučionienė, Daiva, et al.. (2011). Investigation on the air and water vapour permeability of double-layered weft knitted fabrics. Fibres and Textiles in Eastern Europe. 69–73. 33 indexed citations
18.
Mikučionienė, Daiva, et al.. (2011). Influence of the Number of Yarns in a Loop on the Flammability of Knits. Fibres and Textiles in Eastern Europe. 5 indexed citations
19.
Mikučionienė, Daiva, et al.. (2011). Investigation on the Dynamic Water Absorption of Double-Layered Weft Knitted Fabrics. Fibres and Textiles in Eastern Europe. 11 indexed citations
20.
Mikučionienė, Daiva, et al.. (2006). Estimating the Linear Density of Fancy Ribbon - Type Yarns and the Structure Indices of Fabrics Knitted from Them. Fibres and Textiles in Eastern Europe. 5 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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