Rainer Hauser

15 papers receiving 157 citations

Peers

Rainer Hauser
Comparison fields: 5 of 33
  • Management Information Systems 122
  • Software 51
  • Information Systems 141
  • Artificial Intelligence 96
  • Computer Networks and Communications 23
Replace W. Schäfer with:
W. Schäfer Germany
Hans W. Nissen Germany
Gerhard Kramler Austria
Bernard Coulette France
Marie‐Pierre Gervais France
Christian Kop Austria
Roy Grønmo Norway
Peter Y. H. Wong Spain
Paul Sammut United Kingdom
Marc Lohmann Germany
Rainer Hauser relative to W. Schäfer Germany W. Schäfer's profile →
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Citations per year

Countries citing papers authored by Rainer Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Rainer Hauser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rainer Hauser Line = papers co-authored together Rainer Hauser links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200536
2 200831
3 200426
4 200623
5 200819
6 200613
7 199512
8 19908
9
An environment for interactive design of communications architectures
19904
10 19894
11 20053
12 20073
13 20102
14 20031
15 20101
16 20020

About Rainer Hauser

Rainer Hauser is a scholar working on Information Systems, Management Information Systems, Artificial Intelligence, Software and Computer Networks and Communications, having authored 16 papers that have together received 186 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (12 papers), Business Process Modeling and Analysis (10 papers), Model-Driven Software Engineering Techniques (6 papers), Advanced Software Engineering Methodologies (5 papers), Real-Time Systems Scheduling (1 paper), Neural Networks and Applications (1 paper), Genomics and Phylogenetic Studies (1 paper) and Petri Nets in System Modeling (1 paper). The work is most often cited by research in Management Information Systems (122 citations), Software (51 citations), Information Systems (141 citations), Artificial Intelligence (96 citations) and Computer Networks and Communications (23 citations). Rainer Hauser has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Jana Koehler, Michael Wahler, Jussi Vanhatalo, Jochen M. Küster, Shane Sendall, Barrett R. Bryant, Kamal Bhattacharya, Wei Zhao, Fangyu Wu and S. Kumaran. Their work appears in journals such as Computers in Biology and Medicine, Software Practice and Experience, International Journal of Web and Grid Services, IBM Systems Journal and International Journal of Business Process Integration and Management.

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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