Mario Pichler

574 total citations
17 papers, 284 citations indexed

About

Mario Pichler is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Mario Pichler has authored 17 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Mario Pichler's work include Advanced Software Engineering Methodologies (3 papers), Smart Grid Energy Management (2 papers) and Electric Vehicles and Infrastructure (2 papers). Mario Pichler is often cited by papers focused on Advanced Software Engineering Methodologies (3 papers), Smart Grid Energy Management (2 papers) and Electric Vehicles and Infrastructure (2 papers). Mario Pichler collaborates with scholars based in Austria, Italy and Germany. Mario Pichler's co-authors include Wieland Schwinger, Thomas Höfer, Josef Altmann, Werner Retschitzegger, Georgios C. Chasparis, Thomas Grubinger, Maqbool Khan, Arshad Ahmad, Ivo Bukovský and Lisa Ehrlinger and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Comparative Clinical Pathology.

In The Last Decade

Mario Pichler

15 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Pichler Austria 7 155 137 93 55 43 17 284
Stephan Steglich Germany 9 159 1.0× 152 1.1× 148 1.6× 74 1.3× 27 0.6× 81 324
Chun-Feng Liao Taiwan 7 131 0.8× 163 1.2× 123 1.3× 38 0.7× 30 0.7× 36 290
Cláudio F. R. Geyer Brazil 12 113 0.7× 270 2.0× 159 1.7× 88 1.6× 22 0.5× 83 451
Max Pagel Germany 5 87 0.6× 204 1.5× 86 0.9× 71 1.3× 34 0.8× 6 272
Ricky Robinson Australia 9 138 0.9× 215 1.6× 78 0.8× 50 0.9× 11 0.3× 27 312
Takayuki Kushida Japan 8 74 0.5× 307 2.2× 144 1.5× 39 0.7× 21 0.5× 20 391
Olivier Liechti Japan 8 104 0.7× 156 1.1× 105 1.1× 40 0.7× 12 0.3× 14 307
Cássio Prazeres Brazil 11 85 0.5× 281 2.1× 171 1.8× 129 2.3× 15 0.3× 54 428
Philippe Roose France 9 144 0.9× 132 1.0× 103 1.1× 51 0.9× 14 0.3× 67 275
Theo Kanter Sweden 11 155 1.0× 352 2.6× 81 0.9× 44 0.8× 20 0.5× 70 423

Countries citing papers authored by Mario Pichler

Since Specialization
Citations

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

Fields of papers citing papers by Mario Pichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Pichler

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Pichler. A scholar is included among the top collaborators of Mario Pichler 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 Mario Pichler. Mario Pichler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Martínez-Gil, Jorge, et al.. (2024). An overview of civic engagement tools for rural communities. Open Research Europe. 4. 195–195. 1 indexed citations
2.
Martínez-Gil, Jorge, et al.. (2023). Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review. SPIRE - Sciences Po Institutional REpository. 55–70.
3.
Martínez-Gil, Jorge, et al.. (2022). A Digital Platform to Facilitate the Resilience of Rural Territories. Journal of Information & Knowledge Management. 21(3). 6 indexed citations
4.
Khan, Maqbool, et al.. (2022). A Systematic Mapping Study of Predictive Maintenance in SMEs. IEEE Access. 10. 88738–88749. 18 indexed citations
5.
Chasparis, Georgios C., et al.. (2021). AVUBDI: A Versatile Usable Big Data Infrastructure and Its Monitoring Approaches for Process Industry. SHILAP Revista de lepidopterología. 3. 2 indexed citations
6.
Chasparis, Georgios C., et al.. (2019). A cooperative demand-response framework for day-ahead optimization in battery pools. Energy Informatics. 2(S1). 11 indexed citations
7.
Chasparis, Georgios C., Mario Pichler, & Thomas Natschläger. (2019). A Demand-Response Framework in Balance Groups through Direct Battery-Storage Control. 1392–1397. 1 indexed citations
8.
Ehrlinger, Lisa, et al.. (2018). Treating Missing Data in Industrial Data Analytics. 148–155. 16 indexed citations
9.
Pichler, Mario, et al.. (2014). On the Formalization of Expert Knowledge: A Disaster Management Case Study. 149–153. 1 indexed citations
10.
11.
Pichler, Mario, et al.. (2013). RDFreduce. 336–343. 3 indexed citations
12.
Hooijberg, Emma H., et al.. (2010). Extreme thrombocytosis in a young cat. Comparative Clinical Pathology. 20(6). 579–584. 1 indexed citations
13.
14.
Pichler, Mario, et al.. (2006). Business Process-based Requirements Modeling and Management. 6–6. 10 indexed citations
15.
Pichler, Mario, Ulrich Bodenhofer, & Wieland Schwinger. (2004). Context-awareness and artificial intelligence. 9 indexed citations
16.
Höfer, Thomas, et al.. (2003). Context-awareness on mobile devices - the hydrogen approach. 10 pp.–10 pp.. 181 indexed citations
17.
Pichler, Mario, et al.. (2003). Considerations and requirements for tools supporting mobile teams. 389–390. 4 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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2026