Tea Datashvili

863 citations
25 papers · 733 indexed · h-index 16

Tea Datashvili

25 papers receiving 699 citations

Peers

Tea Datashvili
Comparison fields: 5 of 66
  • Polymers and Plastics 288
  • Building and Construction 150
  • Civil and Structural Engineering 225
  • Biomaterials 111
  • Mechanics of Materials 163
Replace Jens Chr. M. Rauhe with:
Jens Chr. M. Rauhe Denmark
Linchao Zhou China
D. Baltzis Greece
Wengang Yang China
Stefan Michel Germany
Merlin Theodore United States
Zepeng Mao China
Jody W.C. Pang United Kingdom
Jianmin Yuan China
Tea Datashvili relative to Jens Chr. M. Rauhe Denmark Jens Chr. M. Rauhe's profile →
Citations per field
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Jens Chr. M. Rauhe · 1×
Citations per year

Countries citing papers authored by Tea Datashvili

Since Specialization
Citations

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

Fields of papers citing papers by Tea Datashvili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201650
2 201436
3 201211
4 201252
5 201216
6 20119
7 201140
8 2011179
9 201019
10 20108
11 201034
12 201049
13 200918
14 20098
15 200926
16 200915
17 200829
18 20089
19 200810
20 200716

About Tea Datashvili

Tea Datashvili is a scholar working on Polymers and Plastics, Mechanics of Materials, Materials Chemistry, Biomaterials and Building and Construction, having authored 25 papers that have together received 733 indexed citations. Recurring topics across this work include Tribology and Wear Analysis (15 papers), Polymer Nanocomposites and Properties (14 papers), Polymer crystallization and properties (5 papers), Diamond and Carbon-based Materials Research (3 papers), Polymer Nanocomposite Synthesis and Irradiation (2 papers), Lubricants and Their Additives (2 papers), Metal and Thin Film Mechanics (2 papers) and Polymer composites and self-healing (2 papers). The work is most often cited by research in Polymers and Plastics (288 citations), Building and Construction (150 citations), Civil and Structural Engineering (225 citations), Biomaterials (111 citations) and Mechanics of Materials (163 citations). Tea Datashvili has collaborated with scholars based in United States, Mexico and Egypt. Frequent co-authors include Witold Brostow, Witold Brostow, Osman Gençel, Haley E. Hagg Lobland, Ken Hackenberg, Peter Jiang, J.M. Pérez, Kevin P. Menard, Ayman M. Atta and Rasha A. El‐Ghazawy. Their work appears in journals such as Polymer Composites, Materials Research Innovations, Journal of materials research/Pratt's guide to venture capital sources, Journal of Nanoscience and Nanotechnology and Polymer International.

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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