Michael Guckert
Impact in
- Health Informatics top 10%
- Software top 10%
- Model-Driven Software Engineering Techniques
Papers in
-
- Multi-Agent Systems and Negotiation 5
- Topic Modeling 4
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- Service-Oriented Architecture and Web Services 6
- Co-authors
- Simon T. Powers (8 shared papers)Neil Urquhart (19 shared papers)Gabriele Taentzer (5 shared papers)Jeremy Pitt (3 shared papers)Peter R. Lewis (2 shared papers)Simon Wells (2 shared papers)The Anh Han (2 shared papers)Till Keller (9 shared papers)
- Journals
- European Heart Journal (3 papers)IEEE Technology and Society Magazine (3 papers)Empirical Software Engineering (1 paper)Lecture notes in computer science (9 papers)Journal of Nondestructive Evaluation (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Michael Guckert
42 papers receiving 368 citations
Peers
Comparison fields: 5 of 85
- Health Informatics 22
- Software 44
- Transportation 50
- Safety Research 51
- Automotive Engineering 41
Countries citing papers authored by Michael Guckert
This map shows the geographic impact of Michael Guckert'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 Michael Guckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Guckert more than expected).
Fields of papers citing papers by Michael Guckert
This network shows the impact of papers produced by Michael Guckert. 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 Michael Guckert. The network helps show where Michael Guckert may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Guckert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 98 | |
| 2 | 2021 | 65 | |
| 3 | 2016 | 35 | |
| 4 | 2021 | 29 | |
| 5 | 2014 | 27 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 13 | |
| 8 | 2023 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2018 | 3 | |
| 19 | Model-driven development of platform-independent mobile applications supporting role-based app variability. | 2016 | 3 |
| 20 | 2022 | 2 |
About Michael Guckert
Michael Guckert is a scholar working on Artificial Intelligence, Information Systems, Automotive Engineering, Transportation and Management Science and Operations Research, having authored 46 papers that have together received 381 indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (7 papers), Transportation Planning and Optimization (7 papers), Service-Oriented Architecture and Web Services (6 papers), ECG Monitoring and Analysis (6 papers), Multi-Agent Systems and Negotiation (5 papers), Model-Driven Software Engineering Techniques (5 papers), Business Process Modeling and Analysis (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Health Informatics (22 citations), Software (44 citations), Transportation (50 citations), Safety Research (51 citations) and Automotive Engineering (41 citations). Michael Guckert has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Simon T. Powers, Neil Urquhart, Gabriele Taentzer, Jeremy Pitt, Peter R. Lewis, Simon Wells, The Anh Han, Till Keller, Cédric Perret and Lukas Esterle. Their work appears in journals such as European Heart Journal, IEEE Technology and Society Magazine, Empirical Software Engineering, Lecture notes in computer science and Journal of Nondestructive Evaluation.
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.