Thomas Haase

31 papers receiving 394 citations

Peers

Thomas Haase
Comparison fields: 5 of 77
  • Software 21
  • Metals and Alloys 13
  • Electrical and Electronic Engineering 174
  • Renewable Energy, Sustainability and the Environment 47
  • Artificial Intelligence 85
Replace Chunlin Yang with:
Chunlin Yang China
Yuantao Yao China
Martin Möser Germany
Takaaki Shimura Japan
Gregory W. Vogl United States
Li Fu China
Chunyang Sheng China
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Thomas Haase relative to Chunlin Yang China Chunlin Yang's profile →
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Citations per year

Countries citing papers authored by Thomas Haase

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000148
2 201743
3 200423
4 201718
5 202116
6 202015
7 202014
8 199413
9
Integration Tools Supporting Cooperative Development Processes in Chemical Engineering
200213
10 202312
11 201211
12 201911
13 201010
14 201810
15 199610
16 20218
17 20216
18 20115
19 20234
20 20154

About Thomas Haase

Thomas Haase is a scholar working on Civil and Structural Engineering, Materials Chemistry, Mechanics of Materials, Mechanical Engineering and Artificial Intelligence, having authored 37 papers that have together received 419 indexed citations. Recurring topics across this work include Geotechnical Engineering and Underground Structures (7 papers), Non-Destructive Testing Techniques (6 papers), Service-Oriented Architecture and Web Services (3 papers), Advanced Software Engineering Methodologies (3 papers), Solar Radiation and Photovoltaics (3 papers), Photovoltaic System Optimization Techniques (3 papers), Business Process Modeling and Analysis (2 papers) and Solar Thermal and Photovoltaic Systems (2 papers). The work is most often cited by research in Software (21 citations), Metals and Alloys (13 citations), Electrical and Electronic Engineering (174 citations), Renewable Energy, Sustainability and the Environment (47 citations) and Artificial Intelligence (85 citations). Thomas Haase has collaborated with scholars based in Germany, New Zealand and Switzerland. Frequent co-authors include H. Kück, Harald Schenk, Detlef Kunze, Hubert Lakner, Peter Dürr, Bernhard Westfechtel, Michael May, Philippe Blanc, Stefan Wilbert and Neil G. R. Broderick. Their work appears in journals such as CORROSION, Journal of Intelligent Material Systems and Structures, Computer Methods in Applied Mechanics and Engineering, Progress in Organic Coatings and AIP Advances.

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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