Immanuel Trummer
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
Papers in
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- Data Management and Algorithms 24
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- Advanced Database Systems and Queries 31
- Constraint Satisfaction and Optimization 9
- Co-authors
- Christoph E. Koch (10 shared papers)Junxiong Wang (6 shared papers)Boi V. Faltings (4 shared papers)Samuel Harvey Moseley (3 shared papers)Walter Binder (3 shared papers)Debabrota Basu (2 shared papers)Georgios Karagiannis (3 shared papers)Thanasis G. Papaioannou (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (28 papers)The VLDB Journal (3 papers)ACM SIGMOD Record (2 papers)IEEE Transactions on Software Engineering (1 paper)ACM Transactions on Database Systems (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Immanuel Trummer
64 papers receiving 832 citations
Peers
Comparison fields: 5 of 63
- Signal Processing 189
- Computer Networks and Communications 364
- Artificial Intelligence 471
- Information Systems 284
- Computer Science Applications 46
Countries citing papers authored by Immanuel Trummer
This map shows the geographic impact of Immanuel Trummer'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 Immanuel Trummer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Immanuel Trummer more than expected).
Fields of papers citing papers by Immanuel Trummer
This network shows the impact of papers produced by Immanuel Trummer. 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 Immanuel Trummer. The network helps show where Immanuel Trummer may publish in the future.
Co-authors
The 25 scholars most cited alongside Immanuel Trummer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 56 | |
| 2 | 2022 | 53 | |
| 3 | 2019 | 53 | |
| 4 | 2022 | 49 | |
| 5 | 2014 | 40 | |
| 6 | 2013 | 39 | |
| 7 | 2021 | 36 | |
| 8 | 2023 | 36 | |
| 9 | 2021 | 32 | |
| 10 | 2017 | 27 | |
| 11 | 2014 | 27 | |
| 12 | 2014 | 25 | |
| 13 | 2022 | 25 | |
| 14 | 2018 | 24 | |
| 15 | 2020 | 23 | |
| 16 | 2023 | 19 | |
| 17 | 2015 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2010 | 16 | |
| 20 | 2019 | 16 |
About Immanuel Trummer
Immanuel Trummer is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 72 papers that have together received 855 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (31 papers), Data Management and Algorithms (24 papers), Semantic Web and Ontologies (12 papers), Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers), Constraint Satisfaction and Optimization (9 papers), Data Quality and Management (9 papers) and Data Stream Mining Techniques (7 papers). The work is most often cited by research in Signal Processing (189 citations), Computer Networks and Communications (364 citations), Artificial Intelligence (471 citations), Information Systems (284 citations) and Computer Science Applications (46 citations). Immanuel Trummer has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Christoph E. Koch, Junxiong Wang, Boi V. Faltings, Samuel Harvey Moseley, Walter Binder, Debabrota Basu, Georgios Karagiannis, Thanasis G. Papaioannou, Karl Aberer and Mehdi Riahi. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, ACM SIGMOD Record, IEEE Transactions on Software Engineering and ACM Transactions on Database Systems.
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.