Dietmar Jannach
- Information Systems top 0.05%
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Management Science and Operations Research top 0.2%
- Sociology and Political Science top 1%
- Co-authors
- Gerhard FriedrichMarkus ZankerAlexander FelfernigMalte LudewigMichael JugovacMouzhi GeLukas LercheFatih Gedikli
- Topics
- Recommender Systems and Techniques (124 papers)Advanced Bandit Algorithms Research (52 papers)Topic Modeling (31 papers)
In The Last Decade
Dietmar Jannach
212 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Information Systems 4.8k
- Artificial Intelligence 3.1k
- Computer Vision and Pattern Recognition 1.5k
- Management Science and Operations Research 1.4k
- Sociology and Political Science 1.1k
Countries citing papers authored by Dietmar Jannach
This map shows the geographic impact of Dietmar Jannach'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 Dietmar Jannach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dietmar Jannach more than expected).
Fields of papers citing papers by Dietmar Jannach
This network shows the impact of papers produced by Dietmar Jannach. 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 Dietmar Jannach. The network helps show where Dietmar Jannach may publish in the future.
Co-authorship network of co-authors of Dietmar Jannach
This figure shows the co-authorship network connecting the top 25 collaborators of Dietmar Jannach. A scholar is included among the top collaborators of Dietmar Jannach 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 Dietmar Jannach. Dietmar Jannach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 70 | |
| 13 | 7 | |
| 14 | A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation. | 13 |
| 15 | Efficient sequential model-based fault-localization with partial diagnoses | 5 |
| 16 | INFORMATION QUALITY ASSESSMENT: VALIDATING MEASUREMENT DIMENSIONS AND PROCESSES | 17 |
| 17 | Knowledge-based System Development with Scripting Technology: A Recommender System Example. | 1 |
| 18 | ADVISOR SUITE - A knowledge-based sales advisory system | 28 |
| 19 | A Joint Foundation for Configuration in the Semantic Web | 4 |
| 20 | UML as Domain Specific Language for the construction of Knowledge-Based Configuration Systems | 7 |
About Dietmar Jannach
Dietmar Jannach is a scholar working on Information Systems, Software and Management Science and Operations Research, having authored 225 papers that have together received 7.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (124 papers), Advanced Bandit Algorithms Research (52 papers) and Topic Modeling (31 papers). The work is most often cited by research in Information Systems (4.8k citations), Management Science and Operations Research (1.4k citations) and Artificial Intelligence (3.1k citations). Dietmar Jannach has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Gerhard Friedrich, Markus Zanker, Alexander Felfernig, Malte Ludewig, Michael Jugovac, Mouzhi Ge, Lukas Lerche, Fatih Gedikli, Paolo Cremonesi and Ingrid Nunes. Their work appears in journals such as Communications of the ACM, Expert Systems with Applications and IEEE Access.
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.