Michael Lutz
Impact in
- Geography, Planning and Development top 0.2%
- Geographic Information Systems Studies
- Signal Processing top 2%
- Data Management and Algorithms
Papers in
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- Geographic Information Systems Studies 21
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- Data Management and Algorithms 13
- Co-authors
- Eva Klien (5 shared papers)Werner Miguel Kühn (2 shared papers)Anders Friis‐Christensen (6 shared papers)Roberto Lucchi (5 shared papers)Alexander Kotsev (4 shared papers)Florian Probst (5 shared papers)Lars Bernard (2 shared papers)Marco Minghini (3 shared papers)
In The Last Decade
Michael Lutz
35 papers receiving 938 citations
Peers
Comparison fields: 5 of 72
- Geography, Planning and Development 583
- Signal Processing 472
- Artificial Intelligence 623
- Information Systems 339
- Information Systems and Management 75
Countries citing papers authored by Michael Lutz
This map shows the geographic impact of Michael Lutz'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 Lutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lutz more than expected).
Fields of papers citing papers by Michael Lutz
This network shows the impact of papers produced by Michael Lutz. 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 Lutz. The network helps show where Michael Lutz may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Lutz, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 154 | |
| 2 | 2005 | 130 | |
| 3 | 2006 | 96 | |
| 4 | 2007 | 80 | |
| 5 | 2020 | 63 | |
| 6 | 2008 | 63 | |
| 7 | 2009 | 61 | |
| 8 | 2005 | 44 | |
| 9 | An Architecture for Ontology-Based Discovery and Retrieval of Geographic Information | 2004 | 42 |
| 10 | 2007 | 33 | |
| 11 | 2018 | 29 | |
| 12 | 2008 | 27 | |
| 13 | 2012 | 26 | |
| 14 | 2007 | 23 | |
| 15 | 2003 | 21 | |
| 16 | 2004 | 17 | |
| 17 | 2005 | 17 | |
| 18 | 2016 | 15 | |
| 19 | 2021 | 13 | |
| 20 | 2012 | 11 |
About Michael Lutz
Michael Lutz is a scholar working on Geography, Planning and Development, Signal Processing, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (21 papers), Semantic Web and Ontologies (18 papers), Data Management and Algorithms (13 papers), Service-Oriented Architecture and Web Services (11 papers), Data Quality and Management (4 papers), 3D Modeling in Geospatial Applications (4 papers), Human Mobility and Location-Based Analysis (3 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Geography, Planning and Development (583 citations), Signal Processing (472 citations), Artificial Intelligence (623 citations), Information Systems (339 citations) and Information Systems and Management (75 citations). Michael Lutz has collaborated with scholars based in Italy, Germany and Belgium. Frequent co-authors include Eva Klien, Werner Miguel Kühn, Anders Friis‐Christensen, Roberto Lucchi, Alexander Kotsev, Florian Probst, Lars Bernard, Marco Minghini, Dave Kolas and Vlado Cetl. Their work appears in journals such as Transactions in GIS, GeoInformatica, IEEE Intelligent Systems, Computers Environment and Urban Systems and Computers & Geosciences.
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.