Marc Schmitt
Impact in
- Management Information Systems top 10%
- Big Data and Business Intelligence
Papers in
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- Big Data and Business Intelligence 6
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- Blockchain Technology Applications and Security 6
- Co-authors
- Ivan Fléchais (2 shared papers)Jean-François Chamba (1 shared paper)Mark Cummins (1 shared paper)Peter Stütz (2 shared papers)Pantelis Koutroumpis (2 shared papers)Marc Roper (1 shared paper)Paolo Remagnino (1 shared paper)Pau Climent-Pérez (1 shared paper)
- Journals
- Intelligent Systems with Applications (1 paper)IEEE Transactions on Artificial Intelligence (1 paper)Journal of Industrial Information Integration (1 paper)International Journal of Information Management Data Insights (1 paper)International Journal of Human-Computer Interaction (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Marc Schmitt
26 papers receiving 313 citations
Peers
Comparison fields: 5 of 83
- Management Information Systems 62
- Health Informatics 8
- Information Systems 84
- Signal Processing 35
- Safety Research 26
Countries citing papers authored by Marc Schmitt
This map shows the geographic impact of Marc Schmitt'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 Marc Schmitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Schmitt more than expected).
Fields of papers citing papers by Marc Schmitt
This network shows the impact of papers produced by Marc Schmitt. 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 Marc Schmitt. The network helps show where Marc Schmitt may publish in the future.
Co-authors
The 13 scholars most cited alongside Marc Schmitt, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 76 | |
| 2 | 2023 | 62 | |
| 3 | 2022 | 37 | |
| 4 | 2024 | 26 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2001 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2015 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2016 | 4 | |
| 16 | 2013 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Marc Schmitt
Marc Schmitt is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 322 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (6 papers), Big Data and Business Intelligence (6 papers), Ethics and Social Impacts of AI (4 papers), Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (3 papers), Robotics and Sensor-Based Localization (3 papers), Robotic Path Planning Algorithms (2 papers) and Financial Distress and Bankruptcy Prediction (2 papers). The work is most often cited by research in Management Information Systems (62 citations), Health Informatics (8 citations), Information Systems (84 citations), Signal Processing (35 citations) and Safety Research (26 citations). Marc Schmitt has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Ivan Fléchais, Jean-François Chamba, Mark Cummins, Peter Stütz, Pantelis Koutroumpis, Marc Roper, Paolo Remagnino, Pau Climent-Pérez, Martin Ruß and Dorothy Monekosso. Their work appears in journals such as Intelligent Systems with Applications, IEEE Transactions on Artificial Intelligence, Journal of Industrial Information Integration, International Journal of Information Management Data Insights and International Journal of Human-Computer Interaction.
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.