Peter Kruse
- Software top 2%
- Software Testing and Debugging Techniques 27
- Software Reliability and Analysis Research 19
- Bioengineering top 1%
- Analytical Chemistry and Sensors 27
- Electrochemistry top 5%
- Electrochemical Analysis and Applications 13
- Materials Chemistry top 5%
- Graphene research and applications 11
- Carbon Nanotubes in Composites 10
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- Electrochemical sensors and biosensors 19
- Gas Sensing Nanomaterials and Sensors 12
- Co-authors
- P. Ravi SelvaganapathyKevin R. MoonoosawmyRobert A. WolkowGino A. DiLabioAndrew C. KummelShayan AngiziMark C. BiesingerHuan‐Hsuan Hsu
In The Last Decade
Peter Kruse
110 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 107
- Software 222
- Bioengineering 307
- Electrochemistry 191
- Materials Chemistry 1000
- Electrical and Electronic Engineering 990
Countries citing papers authored by Peter Kruse
This map shows the geographic impact of Peter Kruse'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 Peter Kruse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kruse more than expected).
Fields of papers citing papers by Peter Kruse
This network shows the impact of papers produced by Peter Kruse. 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 Peter Kruse. The network helps show where Peter Kruse may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Kruse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 66 | |
| 8 | 2018 | 13 | |
| 9 | Klassifikationsbäume als Testrahmen für den Modultest automatisiert erzeugen. | 2015 | 1 |
| 10 | Assessing the Applicability of a Combinatorial Testing tool within an Industrial Environment. | 2014 | 4 |
| 11 | Systematic Testing of Web Applications with the Classification Tree Method. | 2014 | 4 |
| 12 | 2014 | 2 | |
| 13 | 2013 | 6 | |
| 14 | Automated Test Case Generation Using Classification Trees | 2010 | 19 |
| 15 | 2010 | 3 | |
| 16 | 2009 | 17 | |
| 17 | 2009 | 13 | |
| 18 | 2009 | 4 | |
| 19 | 2004 | 43 | |
| 20 | 2000 | 18 |
About Peter Kruse
Peter Kruse is a scholar working on Software, Bioengineering, Electrochemistry, Electrical and Electronic Engineering and Materials Chemistry, having authored 112 papers that have together received 2.2k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (27 papers), Software Testing and Debugging Techniques (27 papers), Electrochemical sensors and biosensors (19 papers), Software Reliability and Analysis Research (19 papers), Electrochemical Analysis and Applications (13 papers), Gas Sensing Nanomaterials and Sensors (12 papers), Graphene research and applications (11 papers) and Carbon Nanotubes in Composites (10 papers). The work is most often cited by research in Software (222 citations), Bioengineering (307 citations), Electrochemistry (191 citations), Materials Chemistry (1000 citations) and Electrical and Electronic Engineering (990 citations). Peter Kruse has collaborated with scholars based in Canada, Germany and Spain. Frequent co-authors include P. Ravi Selvaganapathy, Kevin R. Moonoosawmy, Robert A. Wolkow, Gino A. DiLabio, Andrew C. Kummel, Shayan Angizi, Mark C. Biesinger, Huan‐Hsuan Hsu, Vinay Patel and James McLean. Their work appears in journals such as The Journal of Physical Chemistry C, Journal of The Electrochemical Society, The Journal of Chemical Physics, Nano Letters and Review of Scientific Instruments.
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.