Helmut Wiesenhofer

18 total papers · 915 total citations
12 papers, 726 citations indexed

About

Helmut Wiesenhofer is a scholar working on Biomedical Engineering, Spectroscopy and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Helmut Wiesenhofer has authored 12 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 5 papers in Spectroscopy and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Helmut Wiesenhofer's work include Advanced Chemical Sensor Technologies (10 papers), Mass Spectrometry Techniques and Applications (3 papers) and Analytical Chemistry and Chromatography (3 papers). Helmut Wiesenhofer is often cited by papers focused on Advanced Chemical Sensor Technologies (10 papers), Mass Spectrometry Techniques and Applications (3 papers) and Analytical Chemistry and Chromatography (3 papers). Helmut Wiesenhofer collaborates with scholars based in Austria, United Kingdom and Poland. Helmut Wiesenhofer's co-authors include Clemens Ager, Anton Amann, Wojciech Filipiak, Anna Filipiak, Paweł Mochalski, Markus Nagl, Chris A. Mayhew, Andreas Sponring, Jakob Troppmair and Agapios Agapiou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Sensors and Actuators B Chemical.

In The Last Decade

Helmut Wiesenhofer

11 papers receiving 718 citations

Author Peers

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

Author						Papers	Cites
Helmut Wiesenhofer	576	167	162	146	143	12	726
Alfian Wicaksono	489 0.8×	204 1.2×	92 0.6×	95 0.7×	169 1.2×	31	670
Alexandros Pavlou	435 0.8×	96 0.6×	146 0.9×	77 0.5×	131 0.9×	20	707
Mona Syhre	428 0.7×	152 0.9×	67 0.4×	92 0.6×	140 1.0×	10	628
Boguslaw K. Krotoszynski	418 0.7×	91 0.5×	125 0.8×	80 0.5×	180 1.3×	19	642
Waqar Ahmed	431 0.7×	155 0.9×	126 0.8×	75 0.5×	108 0.8×	32	671
Kristýna Sovová	478 0.8×	170 1.0×	73 0.5×	90 0.6×	254 1.8×	27	696
Emma Daulton	432 0.8×	183 1.1×	70 0.4×	76 0.5×	161 1.1×	27	626
Hugo Knobel	619 1.1×	190 1.1×	163 1.0×	78 0.5×	166 1.2×	27	861
Tomasz Wasilewski	599 1.0×	167 1.0×	220 1.4×	204 1.4×	110 0.8×	24	870
P Litterst	577 1.0×	108 0.6×	157 1.0×	50 0.3×	369 2.6×	21	671

Countries citing papers authored by Helmut Wiesenhofer

Since Specialization

Citations

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

Fields of papers citing papers by Helmut Wiesenhofer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helmut Wiesenhofer

This figure shows the co-authorship network connecting the top 25 collaborators of Helmut Wiesenhofer. A scholar is included among the top collaborators of Helmut Wiesenhofer 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 Helmut Wiesenhofer. Helmut Wiesenhofer 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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