Akira Tiele

16 total papers · 562 total citations
16 papers, 399 citations indexed

About

Akira Tiele is a scholar working on Biomedical Engineering, Sensory Systems and Molecular Biology. According to data from OpenAlex, Akira Tiele has authored 16 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 6 papers in Sensory Systems and 3 papers in Molecular Biology. Recurrent topics in Akira Tiele's work include Advanced Chemical Sensor Technologies (12 papers), Olfactory and Sensory Function Studies (6 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Akira Tiele is often cited by papers focused on Advanced Chemical Sensor Technologies (12 papers), Olfactory and Sensory Function Studies (6 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Akira Tiele collaborates with scholars based in United Kingdom and Norway. Akira Tiele's co-authors include James A. Covington, Alfian Wicaksono, Siavash Esfahani, Emma Daulton, Ramesh Arasaradnam, Hemant M. Kocher, Silvana Debernardi, Tatjana Crnogorac‐Jurcevic, Stephen Pearson and Victoria Eyre and has published in prestigious journals such as Sensors, Talanta and IEEE Sensors Journal.

In The Last Decade

Akira Tiele

15 papers receiving 393 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Akira Tiele 272 103 74 67 64 16 399
R A Gutmann 272 1.0× 68 0.7× 112 1.5× 86 1.3× 40 0.6× 18 379
Peter Oertel 268 1.0× 50 0.5× 101 1.4× 96 1.4× 36 0.6× 11 349
L. Trizio 270 1.0× 73 0.7× 84 1.1× 76 1.1× 69 1.1× 12 411
Zhendong Chen 290 1.1× 99 1.0× 111 1.5× 68 1.0× 52 0.8× 17 377
D. Klemp 131 0.5× 52 0.5× 75 1.0× 34 0.5× 31 0.5× 17 414
Geng Song 251 0.9× 92 0.9× 110 1.5× 92 1.4× 52 0.8× 13 406
Andrea Trové 237 0.9× 81 0.8× 48 0.6× 59 0.9× 20 0.3× 10 408
Oguzhan Ulucan 227 0.8× 85 0.8× 27 0.4× 49 0.7× 40 0.6× 21 429
Diclehan Karakaya 225 0.8× 85 0.8× 27 0.4× 49 0.7× 40 0.6× 10 382
J. Villinger 237 0.9× 32 0.3× 85 1.1× 97 1.4× 27 0.4× 17 371

Countries citing papers authored by Akira Tiele

Since Specialization
Citations

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

Fields of papers citing papers by Akira Tiele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Tiele

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

All Works

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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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