Michael Sioutis

465 total citations
24 papers, 63 citations indexed

About

Michael Sioutis is a scholar working on Signal Processing, Computer Networks and Communications and Geography, Planning and Development. According to data from OpenAlex, Michael Sioutis has authored 24 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 13 papers in Computer Networks and Communications and 8 papers in Geography, Planning and Development. Recurrent topics in Michael Sioutis's work include Data Management and Algorithms (16 papers), Constraint Satisfaction and Optimization (13 papers) and Geographic Information Systems Studies (8 papers). Michael Sioutis is often cited by papers focused on Data Management and Algorithms (16 papers), Constraint Satisfaction and Optimization (13 papers) and Geographic Information Systems Studies (8 papers). Michael Sioutis collaborates with scholars based in Germany, France and Sweden. Michael Sioutis's co-authors include Jean-François Condotta, Diedrich Wolter, Manolis Koubarakis, Yakoub Salhi, Themistocles Herekakis, Kostis Kyzirakos, Nicola Basilico, Manos Karpathiotakis, Amy Loutfi and N. Alberto Borghese and has published in prestigious journals such as IEEE Access, Theoretical Computer Science and IEEE Intelligent Systems.

In The Last Decade

Michael Sioutis

20 papers receiving 59 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Sioutis Germany 5 39 37 24 14 14 24 63
Jean-François Condotta France 5 59 1.5× 68 1.8× 28 1.2× 21 1.5× 18 1.3× 16 82
Antoine Amarilli France 4 17 0.4× 20 0.5× 32 1.3× 7 0.5× 20 48
Maarten Löffler Netherlands 4 18 0.5× 5 0.1× 9 0.4× 9 0.6× 5 0.4× 11 51
Christophe Lecoutre France 3 15 0.4× 24 0.6× 12 0.5× 9 0.6× 1 0.1× 4 38
Ali Khodaei United States 5 29 0.7× 18 0.5× 17 0.7× 15 1.1× 7 60
Sofian Maabout France 5 27 0.7× 32 0.9× 12 0.5× 1 0.1× 5 0.4× 13 52
Doug Strain United States 2 10 0.3× 15 0.4× 31 1.3× 14 1.0× 3 45
Yakoub Salhi France 6 13 0.3× 21 0.6× 45 1.9× 49 3.5× 2 0.1× 21 69
Paul Fiterău-Broştean Sweden 4 31 0.8× 29 0.8× 39 1.6× 14 1.0× 8 80
Marie-Christine Fauvet France 5 27 0.7× 37 1.0× 33 1.4× 1 0.1× 7 0.5× 16 72

Countries citing papers authored by Michael Sioutis

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sioutis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sioutis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sioutis. A scholar is included among the top collaborators of Michael Sioutis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Sioutis. Michael Sioutis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wehner, J.M., Michael Sioutis, & Diedrich Wolter. (2023). On robust vs fast solving of qualitative constraints. Journal of Heuristics. 29(4-6). 461–485.
2.
Sioutis, Michael, et al.. (2022). Approximating Region Boundaries Based on Qualitative and Quantitative Information. IEEE Intelligent Systems. 37(6). 38–47.
3.
Sioutis, Michael & Diedrich Wolter. (2021). Qualitative Spatial and Temporal Reasoning: Current Status and Future Challenges. SPIRE - Sciences Po Institutional REpository. 4594–4601. 3 indexed citations
4.
Wehner, J.M., Michael Sioutis, & Diedrich Wolter. (2021). On Robust Vs Fast Solving of Qualitative Constraints. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
5.
Sioutis, Michael & Diedrich Wolter. (2021). Dynamic branching in qualitative constraint-based reasoning via counting local models. Information and Computation. 281. 104787–104787. 1 indexed citations
6.
Sioutis, Michael & Diedrich Wolter. (2020). Dynamic Branching in Qualitative Constraint Networks via Counting Local Models. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 3 indexed citations
7.
Sioutis, Michael. (2020). Just-In-Time Constraint-Based Inference for Qualitative Spatial and Temporal Reasoning. KI - Künstliche Intelligenz. 34(2). 259–270. 2 indexed citations
8.
Sioutis, Michael, et al.. (2020). Semi-Supervised Dimensionality Reduction by Linear Compression and Stretching. IEEE Access. 8. 27308–27317. 3 indexed citations
9.
Sioutis, Michael, et al.. (2019). Collective singleton-based consistency for qualitative constraint networks: Theory and practice. Theoretical Computer Science. 797. 17–41. 3 indexed citations
10.
Alirezaie, Marjan, Martin Längkvist, Michael Sioutis, & Amy Loutfi. (2018). A Symbolic Approach for Explaining Errors in Image Classification Tasks. International Joint Conference on Artificial Intelligence. 5 indexed citations
11.
Luperto, Matteo, et al.. (2018). Seeking Prevention of Cognitive Decline in Elders via Activity Suggestion by A Virtual Caregiver. 3. 1835–1837. 6 indexed citations
12.
Sioutis, Michael, et al.. (2018). Leveraging Variable Elimination for Efficiently Reasoning about Qualitative Constraints. International Journal of Artificial Intelligence Tools. 27(4). 1860001–1860001. 3 indexed citations
13.
Salhi, Yakoub & Michael Sioutis. (2018). A Resolution Method for Modal Logic S5. EPiC series in computing. 36. 252–240. 1 indexed citations
14.
Sioutis, Michael, Yakoub Salhi, & Jean-François Condotta. (2016). Studying the use and effect of graph decomposition in qualitative spatial and temporal reasoning. The Knowledge Engineering Review. 32. 5 indexed citations
15.
Sioutis, Michael, et al.. (2016). Pinpointing Influence in Pinterest.. 1622. 26–37. 1 indexed citations
16.
Sioutis, Michael, Jean-François Condotta, & Manolis Koubarakis. (2015). An Efficient Approach for Tackling Large Real World Qualitative Spatial Networks. International Journal of Artificial Intelligence Tools. 25(2). 1550031–1550031. 8 indexed citations
17.
Kontoes, Charalampos, Ioannis Papoutsis, Themistocles Herekakis, et al.. (2012). Wildfire monitoring via the integration of remote sensing with innovative information technologies. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 7916. 2 indexed citations
18.
Kontoes, Charalampos, Iphigenia Keramitsoglou, Ioannis Papoutsis, et al.. (2012). Operational wildfire monitoring and disaster management support using state-of-the-art EO and Information Technologies. 196–200. 2 indexed citations
19.
Dumitru, Corneliu Octavian, et al.. (2012). Ontologies for the VO for TerraSAR-X data. 1 indexed citations
20.
Kyzirakos, Kostis, Manos Karpathiotakis, Charalampos Nikolaou, et al.. (2012). Real Time Fire Monitoring Using Semantic Web and Linked Data Technologies. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 33–36. 3 indexed citations

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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