Gernot Hochleitner

2.3k citations
22 papers · 1.8k indexed · h-index 17
Topics
Electrospun Nanofibers in Biomedical Applications (17 papers)Tissue Engineering and Regenerative Medicine (8 papers)Additive Manufacturing and 3D Printing Technologies (7 papers)

In The Last Decade

Gernot Hochleitner

22 papers receiving 1.8k citations

Peers

Gernot Hochleitner
Comparison fields: 5 of 80
  • Biomedical Engineering 1.3k
  • Biomaterials 1.0k
  • Automotive Engineering 646
  • Electrical and Electronic Engineering 362
  • Surgery 320
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Onur Bas Australia
Chongxian He China
Andrei Hrynevich Germany
Eugene D. Boland United States
Hyeongjin Lee South Korea
Wan Doo Kim South Korea
Matěj Buzgo Czechia
Shuping Peng China
Claus Moseke Germany
Suk-Hee Park South Korea
Gernot Hochleitner relative to Onur Bas Australia Onur Bas's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gernot Hochleitner

Since Specialization
Citations

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

Fields of papers citing papers by Gernot Hochleitner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gernot Hochleitner

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 51
3 27
4 131
5 105
6 1
7 1
8 61
9 149
10 47
11 163
12 67
13 43
14 22
15 2
16 137
17 1
18 300
19 86
20 107

About Gernot Hochleitner

Gernot Hochleitner is a scholar working on Biomaterials, Automotive Engineering and Biomedical Engineering, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (17 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Additive Manufacturing and 3D Printing Technologies (7 papers). The work is most often cited by research in Biomaterials (1.0k citations), Automotive Engineering (646 citations) and Biomedical Engineering (1.3k citations). Gernot Hochleitner has collaborated with scholars based in Germany, Netherlands and Australia. Frequent co-authors include Jürgen Gröll, Paul D. Dalton, Tomasz Jüngst, Miguel Castilho, Jos Malda, Andrei Hrynevich, Keita Ito, Jodie N. Haigh, Almoatazbellah Youssef and Carina Blum. Their work appears in journals such as Advanced Functional Materials, Scientific Reports and Small.

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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