Anja Aarva

722 total citations
13 papers, 570 citations indexed

About

Anja Aarva is a scholar working on Materials Chemistry, Surfaces, Coatings and Films and Electrical and Electronic Engineering. According to data from OpenAlex, Anja Aarva has authored 13 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 5 papers in Surfaces, Coatings and Films and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Anja Aarva's work include Machine Learning in Materials Science (7 papers), Electron and X-Ray Spectroscopy Techniques (4 papers) and Diamond and Carbon-based Materials Research (3 papers). Anja Aarva is often cited by papers focused on Machine Learning in Materials Science (7 papers), Electron and X-Ray Spectroscopy Techniques (4 papers) and Diamond and Carbon-based Materials Research (3 papers). Anja Aarva collaborates with scholars based in Finland, United States and United Kingdom. Anja Aarva's co-authors include Tomi Laurila, A. Miguel, Volker L. Deringer, Sami Sainio, Gábor Cśanyi, Angelo Moreno, Stephen J. McPhail, Hary Devianto, Roberto Bove and Stephen R. Elliott and has published in prestigious journals such as The Journal of Chemical Physics, Chemistry of Materials and The Journal of Physical Chemistry C.

In The Last Decade

Anja Aarva

13 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anja Aarva Finland	11	395	214	80	73	54	13	570
Takio Noguchi Japan	16	376 1.0×	203 0.9×	45 0.6×	102 1.4×	26 0.5×	26	647
Hongqing Shi Australia	15	518 1.3×	179 0.8×	101 1.3×	78 1.1×	61 1.1×	26	659
Héctor Barrón United States	15	529 1.3×	156 0.7×	212 2.6×	98 1.3×	59 1.1×	22	765
Peichen Zhong United States	13	550 1.4×	400 1.9×	43 0.5×	40 0.5×	45 0.8×	27	873
V. V. Srabionyan Russia	16	365 0.9×	151 0.7×	215 2.7×	138 1.9×	65 1.2×	39	631
Hoje Chun South Korea	19	546 1.4×	308 1.4×	339 4.2×	80 1.1×	109 2.0×	40	886
Jaehoon Kim South Korea	7	513 1.3×	237 1.1×	114 1.4×	32 0.4×	64 1.2×	13	643
Daniel Schwalbe‐Koda United States	15	743 1.9×	163 0.8×	80 1.0×	71 1.0×	109 2.0×	31	900
Nicholas Marcella United States	13	398 1.0×	56 0.3×	167 2.1×	86 1.2×	104 1.9×	20	540
Dongsun Yoo South Korea	14	650 1.6×	545 2.5×	82 1.0×	46 0.6×	26 0.5×	27	931

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-authorship network of co-authors of Anja Aarva

This figure shows the co-authorship network connecting the top 25 collaborators of Anja Aarva. A scholar is included among the top collaborators of Anja Aarva 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 Anja Aarva. Anja Aarva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Golze, Dorothea, Anja Aarva, Jarkko Etula, et al.. (2022). Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW. Chemistry of Materials. 34(14). 6240–6254. 45 indexed citations

Aarva, Anja, et al.. (2021). Connection between the physicochemical characteristics of amorphous carbon thin films and their electrochemical properties. Journal of Physics Condensed Matter. 33(43). 434002–434002. 6 indexed citations

Aarva, Anja, Sami Sainio, Volker L. Deringer, A. Miguel, & Tomi Laurila. (2021). X-ray Spectroscopy Fingerprints of Pristine and Functionalized Graphene. The Journal of Physical Chemistry C. 125(33). 18234–18246. 19 indexed citations

Sainio, Sami, Niklas Wester, Anja Aarva, et al.. (2020). Trends in Carbon, Oxygen, and Nitrogen Core in the X-ray Absorption Spectroscopy of Carbon Nanomaterials: A Guide for the Perplexed. The Journal of Physical Chemistry C. 125(1). 973–988. 51 indexed citations

Peltola, Emilia, Anja Aarva, Sami Sainio, et al.. (2020). Biofouling affects the redox kinetics of outer and inner sphere probes on carbon surfaces drastically differently – implications to biosensing. Physical Chemistry Chemical Physics. 22(29). 16630–16640. 19 indexed citations

Aarva, Anja, Volker L. Deringer, Sami Sainio, Tomi Laurila, & A. Miguel. (2019). Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part I: Fingerprint Spectra. Chemistry of Materials. 31(22). 9243–9255. 87 indexed citations

Aarva, Anja, Volker L. Deringer, Sami Sainio, Tomi Laurila, & A. Miguel. (2019). Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part II: Quantitative Fitting of Spectra. Chemistry of Materials. 31(22). 9256–9267. 55 indexed citations

Deringer, Volker L., A. Miguel, Anja Aarva, et al.. (2018). Computational Surface Chemistry of Tetrahedral Amorphous Carbon by Combining Machine Learning and Density Functional Theory. Chemistry of Materials. 30(21). 7438–7445. 73 indexed citations

Miguel, A., Anja Aarva, Volker L. Deringer, Gábor Cśanyi, & Tomi Laurila. (2018). Reactivity of Amorphous Carbon Surfaces: Rationalizing the Role of Structural Motifs in Functionalization Using Machine Learning. Chemistry of Materials. 30(21). 7446–7455. 83 indexed citations

10.

Peltola, Emilia, Sami Sainio, Anja Aarva, et al.. (2017). SU-8 based pyrolytic carbon for the electrochemical detection of dopamine. Journal of Materials Chemistry B. 5(45). 9033–9044. 33 indexed citations

11.

Aarva, Anja, Tomi Laurila, & A. Miguel. (2017). Doping as a means to probe the potential dependence of dopamine adsorption on carbon-based surfaces: A first-principles study. The Journal of Chemical Physics. 146(23). 234704–234704. 12 indexed citations

12.

McPhail, Stephen J., Anja Aarva, Hary Devianto, Roberto Bove, & Angelo Moreno. (2010). SOFC and MCFC: Commonalities and opportunities for integrated research. International Journal of Hydrogen Energy. 36(16). 10337–10345. 86 indexed citations

13.

Aarva, Anja, Matti Noponen, & Jari Kiviaho. (2007). Effect of Ethene Impurity on Performance of Solid Oxide Fuel Cell. ECS Transactions. 7(1). 1653–1659. 1 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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