Anja Aarva

722 citations
13 papers · 570 · h-index 11

Impact in

    • Machine Learning in Materials Science
    • Advancements in Solid Oxide Fuel Cells
    • Diamond and Carbon-based Materials Research
    • Graphene research and applications
    • Electrochemical Analysis and Applications

Papers in

    • Machine Learning in Materials Science 7
    • Diamond and Carbon-based Materials Research 3
    • Graphene research and applications 2
    • Advancements in Solid Oxide Fuel Cells 2
    • Electron and X-Ray Spectroscopy Techniques 4

Anja Aarva

13 papers receiving 560 citations

Peers

Anja Aarva
Comparison fields: 5 of 61
  • Materials Chemistry 395
  • Electrochemistry 48
  • Catalysis 54
  • Surfaces, Coatings and Films 51
  • Renewable Energy, Sustainability and the Environment 80
Replace Takio Noguchi with:
Takio Noguchi Japan
Hongqing Shi Australia
Dongsun Yoo South Korea
Girish Rughoobur United States
Johannes Will Germany
Hoje Chun South Korea
Daniel Schwalbe‐Koda United States
Rachel N. Kerber United Kingdom
Nicholas Marcella United States
Peichen Zhong United States
Anja Aarva relative to Takio Noguchi Japan Takio Noguchi's profile →
Citations per field
00.5×3.4×
Takio Noguchi · 1×
Citations per year

Countries citing papers authored by Anja Aarva

Since Specialization
Citations

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

Fields of papers citing papers by Anja Aarva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201987
2 201086
3 201883
4 201873
5 201955
6 202051
7 202245
8 201733
9 202119
10 202019
11 201712
12 20216
13 20071

About Anja Aarva

Anja Aarva is a scholar working on Materials Chemistry, Surfaces, Coatings and Films, Electrical and Electronic Engineering, Radiation and Catalysis, having authored 13 papers that have together received 570 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Electron and X-Ray Spectroscopy Techniques (4 papers), Electrochemical sensors and biosensors (3 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Diamond and Carbon-based Materials Research (3 papers), Catalysis and Oxidation Reactions (2 papers), Graphene research and applications (2 papers) and Advancements in Solid Oxide Fuel Cells (2 papers). The work is most often cited by research in Materials Chemistry (395 citations), Electrochemistry (48 citations), Catalysis (54 citations), Surfaces, Coatings and Films (51 citations) and Renewable Energy, Sustainability and the Environment (80 citations). Anja Aarva has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Tomi Laurila, A. Miguel, Volker L. Deringer, Sami Sainio, Gábor Cśanyi, Stephen J. McPhail, Angelo Moreno, Hary Devianto, Roberto Bove and Lars Pastewka. Their work appears in journals such as Chemistry of Materials, The Journal of Physical Chemistry C, Journal of Materials Chemistry B, Journal of Physics Condensed Matter and Physical Chemistry Chemical Physics.

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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