Christian Sauer

26 papers receiving 347 citations

Peers

Christian Sauer
Comparison fields: 5 of 85
  • Health Information Management 129
  • Artificial Intelligence 84
  • Information Systems 79
  • General Health Professions 50
  • Management Information Systems 48
Replace Peter Croll with:
Peter Croll Australia
Bruce I. Blum United States
Ammar Odeh Jordan
Kamran Sartipi Canada
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George Vassilacopoulos Greece
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Christian Sauer relative to Peter Croll Australia Peter Croll's profile →
Citations per field
00.5×3.5×
Peter Croll · 1×
Citations per year

Countries citing papers authored by Christian Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Christian Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Sauer

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Sauer. A scholar is included among the top collaborators of Christian Sauer 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 Christian Sauer. Christian Sauer 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
#WorkIndexed citations
1 3
2 9
3 8
4 5
5 1
6 50
7
Practice makes perfect – gamification of a competitive learning experience
1
8 1
9
Approaches to the use of sensor data to improve classroom experience
2
10
Knowledge maintenance in myCBR
0
11
Towards explanation generation using feature models in software product lines
5
12 5
13 8
14
Similarity knowledge formalisation for audio engineering
0
15
SEASALTexp - an explanation-aware architecture for extracting and case-based processing of experiences from internet communities
1
16
Integration of linked open data in case-based reasoning systems
1
17
Deriving case base vocabulary from web community data
6
18 24
19 108
20 107

About Christian Sauer

Christian Sauer is a scholar working on Artificial Intelligence, Hardware and Architecture and Management Science and Operations Research, having authored 30 papers that have together received 386 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (10 papers), Semantic Web and Ontologies (8 papers) and Advanced Software Engineering Methodologies (4 papers). The work is most often cited by research in Health Information Management (129 citations), Medical Laboratory Technology (11 citations) and Management Information Systems (48 citations). Christian Sauer has collaborated with scholars based in United Kingdom, Germany and Finland. Frequent co-authors include Gray Southon, C. N. G. Dampney, Thomas Roth–Berghofer, Belén Díaz‐Agudo, Juan A. Recio-Garcí­a, Lara Quijano-Sánchez, Klaus‐Dieter Althoff, Kerstin Bach, Matthew W. Moskewicz and Kurt Keutzer. Their work appears in journals such as Expert Systems with Applications, Fuel and Journal of the American Medical Informatics Association.

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