Tea Avarmaa

498 citations
41 papers · 412 · h-index 13

Impact in

    • Analytical Chemistry and Sensors
    • ZnO doping and properties
    • Luminescence Properties of Advanced Materials
    • Electronic and Structural Properties of Oxides
    • Graphene research and applications

Papers in

Tea Avarmaa

40 papers receiving 400 citations

Peers

Tea Avarmaa
Comparison fields: 5 of 46
  • Bioengineering 101
  • Materials Chemistry 262
  • Electrical and Electronic Engineering 265
  • Polymers and Plastics 45
  • Catalysis 20
Replace Ravish K. Jain with:
Ravish K. Jain India
Karina Barnholt Klepper Norway
Khabibulakh Katsiev United States
J. F. C. Carreira Portugal
E. E. Yakimov Russia
Kaijian Xing Australia
Ikhtisham Mehmood China
Min-De Yang Taiwan
Hirotsugu Nagayama Japan
Chen‐Jen Hung United States
Tea Avarmaa relative to Ravish K. Jain India Ravish K. Jain's profile →
Citations per field
00.5×
Ravish K. Jain · 1×
Citations per year

Countries citing papers authored by Tea Avarmaa

Since Specialization
Citations

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

Fields of papers citing papers by Tea Avarmaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200657
2 201629
3 201725
4 199824
5 200523
6 201923
7 200422
8 201419
9 201015
10 201314
11 202213
12 201613
13 200713
14 201911
15 199811
16 20099
17 20178
18 20028
19 20237
20 20107

About Tea Avarmaa

Tea Avarmaa is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Bioengineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 41 papers that have together received 412 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (18 papers), Analytical Chemistry and Sensors (12 papers), ZnO doping and properties (8 papers), Electronic and Structural Properties of Oxides (8 papers), Luminescence Properties of Advanced Materials (6 papers), Catalytic Processes in Materials Science (5 papers), Advanced Chemical Sensor Technologies (4 papers) and Ammonia Synthesis and Nitrogen Reduction (4 papers). The work is most often cited by research in Bioengineering (101 citations), Materials Chemistry (262 citations), Electrical and Electronic Engineering (265 citations), Polymers and Plastics (45 citations) and Catalysis (20 citations). Tea Avarmaa has collaborated with scholars based in Estonia, Sweden and South Korea. Frequent co-authors include Raivo Jaaniso, Margus Kodu, Hugo Mändar, Tauno Kahro, Ahti Niilisk, I. Sildos, Harry Alles, Ants Lõhmus, Jaan Aarik and Martti Pärs. Their work appears in journals such as Applied Surface Science, Sensors and Actuators B Chemical, Optical Materials, The Journal of Physical Chemistry C and Thin Solid Films.

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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