Georg Großmann

1.7k total citations · 1 hit paper
90 papers, 830 citations indexed

About

Georg Großmann is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Georg Großmann has authored 90 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Management Information Systems, 27 papers in Information Systems and 25 papers in Artificial Intelligence. Recurrent topics in Georg Großmann's work include Business Process Modeling and Analysis (32 papers), Service-Oriented Architecture and Web Services (25 papers) and Cardiovascular Function and Risk Factors (17 papers). Georg Großmann is often cited by papers focused on Business Process Modeling and Analysis (32 papers), Service-Oriented Architecture and Web Services (25 papers) and Cardiovascular Function and Risk Factors (17 papers). Georg Großmann collaborates with scholars based in Australia, Germany and Austria. Georg Großmann's co-authors include Markus Stumptner, Wolfgang Mayer, Farhad Ahamed, Niki Patel, Zohaib Jan, Vinzenz Hombach, Michael Schrefl, Matthias Kochs, H.-H. Osterhues and M. Stauch and has published in prestigious journals such as European Heart Journal, The American Journal of Cardiology and Expert Systems with Applications.

In The Last Decade

Georg Großmann

80 papers receiving 795 citations

Hit Papers

Artificial intelligence for industry 4.0: Systematic revi... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Großmann Australia 14 225 162 153 139 133 90 830
Alessandra Pieroni Italy 11 101 0.4× 184 1.1× 136 0.9× 36 0.3× 100 0.8× 28 559
Abdur Rahim Mohammad Forkan Australia 16 62 0.3× 127 0.8× 39 0.3× 215 1.5× 107 0.8× 51 1.1k
Ricardo J. Rodríguez Spain 18 69 0.3× 183 1.1× 20 0.1× 179 1.3× 17 0.1× 112 1.0k
Mohammed Hashim Malaysia 15 34 0.2× 213 1.3× 56 0.4× 184 1.3× 25 0.2× 26 1.2k
José Machado Portugal 17 50 0.2× 188 1.2× 132 0.9× 335 2.4× 25 0.2× 205 1.2k
Divya Tomar India 14 29 0.1× 217 1.3× 35 0.2× 484 3.5× 23 0.2× 36 1.0k
Muhammad Adnan Khan Pakistan 16 53 0.2× 107 0.7× 25 0.2× 167 1.2× 16 0.1× 42 731
Omar Hussein Salman Iraq 10 51 0.2× 108 0.7× 33 0.2× 108 0.8× 17 0.1× 23 711
Ernesto Iadanza Italy 17 149 0.7× 53 0.3× 37 0.2× 133 1.0× 14 0.1× 77 878
Angela Locoro Italy 10 15 0.1× 127 0.8× 41 0.3× 270 1.9× 35 0.3× 49 668

Countries citing papers authored by Georg Großmann

Since Specialization
Citations

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

Fields of papers citing papers by Georg Großmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Großmann

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Großmann. A scholar is included among the top collaborators of Georg Großmann 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 Georg Großmann. Georg Großmann 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.
Kovanović, Vitomir, et al.. (2024). The perceptions of task cohesion in collaborative learning teams. International Journal of Computer-Supported Collaborative Learning. 19(3). 369–393. 4 indexed citations
2.
Kovanović, Vitomir, Srécko Joksimovíc, Georg Großmann, et al.. (2023). Using online learner trace data to understand the cohesion of teams in higher education. Journal of Computer Assisted Learning. 39(6). 1733–1750. 4 indexed citations
3.
4.
Kovanović, Vitomir, et al.. (2022). Team interactions with learning analytics dashboards. Computers & Education. 185. 104514–104514. 14 indexed citations
5.
Kovanović, Vitomir, et al.. (2021). The cohesion of small groups in technology-mediated learning environments: A systematic literature review. Educational Research Review. 35. 100427–100427. 14 indexed citations
6.
Mayer, Wolfgang, et al.. (2013). Semantic Interoperability in the Oil and Gas Industry: A Challenging Testbed for Semantic Technologies. National Conference on Artificial Intelligence. 3 indexed citations
7.
Großmann, Georg, Michael Schrefl, & Markus Stumptner. (2010). A conceptual modeling approach for web service composition supporting service re-configuration. 43–52. 3 indexed citations
8.
Großmann, Georg, Michael Schrefl, & Markus Stumptner. (2010). Model driven orchestration: design for service compatibility. 17–31. 2 indexed citations
9.
Bernhardt, Peter, L. Binner, Jochen Spieß, et al.. (2010). Myocardial scar extent evaluated by cardiac magnetic resonance imaging in ICD patients: relationship to spontaneous VT during long-term follow-up. International journal of cardiac imaging. 27(6). 893–900. 11 indexed citations
10.
Großmann, Georg, Michael Schrefl, & Markus Stumptner. (2008). Modelling inter-process dependencies with high-level business process modelling languages. 89–102. 12 indexed citations
11.
Großmann, Georg, Michael Schrefl, & Markus Stumptner. (2007). Exploiting semantics of inter-process dependencies to instantiate predefined integration patterns. 155–160. 1 indexed citations
12.
Stumptner, Markus, Michael Schrefl, & Georg Großmann. (2004). On the road to behavior-based integration. 15–22. 7 indexed citations
13.
Großmann, Georg, et al.. (2004). Value of the proximal flow convergence method for quantification of the regurgitant volume in mitral regurgitation. Zeitschrift für Kardiologie. 93(12). 944–953. 1 indexed citations
14.
Agarwal, D.C. & Georg Großmann. (2001). Case Histories on the Use of Nickel Alloys in Municipal and Hazardous Waste Fueled Facilities. CORROSION. 46(3). 325–32. 2 indexed citations
15.
Levine, Robert A., Michael Stein, Georg Großmann, et al.. (1999). Aortic regurgitant flow by color Doppler measurement of the local velocity 7 mm above the leak orifice – Part 2: comparison with cardiac catheterization. Zeitschrift für Kardiologie. 88(11). 896–905. 2 indexed citations
16.
Großmann, Georg, et al.. (1998). Quantification of mitral and tricuspid regurgitation by the proximal flow convergence method using two-dimensional colour Doppler and colour Doppler M-mode:. International Journal of Cardiology. 66(3). 299–307. 15 indexed citations
17.
Großmann, Georg, et al.. (1993). Quantification of mitral regurgitation by colour flow Doppler imaging — value of the ‘proximal isovelocity surface area’ method. International Journal of Cardiology. 42(2). 165–173. 6 indexed citations
18.
Großmann, Georg, et al.. (1993). Color Doppler echocardiographic determination of mitral regurgitant flow from the proximal velocity profile of the flow convergence region. The American Journal of Cardiology. 71(2). 217–224. 35 indexed citations
19.
Josephson, Staffan & Georg Großmann. (1991). Partial Ureteric Obstruction in the Pubescent Rat. Urologia Internationalis. 47(3). 126–130. 11 indexed citations
20.
Stauch, M., et al.. (1990). Lack of tolerance after chronic administration of controlled-release isosorbide-5-mononitrate. European Journal of Clinical Pharmacology. 38(S1). S31–S34. 1 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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