Immanuel Trummer

1.1k total citations
65 papers, 603 citations indexed

About

Immanuel Trummer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Immanuel Trummer has authored 65 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 42 papers in Computer Networks and Communications and 26 papers in Signal Processing. Recurrent topics in Immanuel Trummer's work include Advanced Database Systems and Queries (29 papers), Data Management and Algorithms (22 papers) and Topic Modeling (11 papers). Immanuel Trummer is often cited by papers focused on Advanced Database Systems and Queries (29 papers), Data Management and Algorithms (22 papers) and Topic Modeling (11 papers). Immanuel Trummer collaborates with scholars based in United States, Switzerland and France. Immanuel Trummer's co-authors include Christoph Koch, Walter Binder, Junxiong Wang, Boi Faltings, Georgios Karagiannis, Karl Aberer, Mehdi Riahi, Thanasis G. Papaioannou, Paolo Papotti and Deepak Maram and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Immanuel Trummer

52 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Immanuel Trummer United States 16 354 250 203 127 74 65 603
Bhargav Kanagal United States 12 330 0.9× 144 0.6× 269 1.3× 147 1.2× 115 1.6× 15 564
Manas Joglekar United States 13 288 0.8× 124 0.5× 127 0.6× 110 0.9× 70 0.9× 23 496
Jaroslaw Szlichta Canada 13 264 0.7× 180 0.7× 197 1.0× 132 1.0× 202 2.7× 49 462
Byron J. Gao United States 12 284 0.8× 96 0.4× 198 1.0× 100 0.8× 52 0.7× 46 479
Stephan Seufert Germany 9 365 1.0× 207 0.8× 109 0.5× 156 1.2× 89 1.2× 13 593
Ullas Nambiar United States 11 253 0.7× 211 0.8× 199 1.0× 179 1.4× 48 0.6× 38 465
Wolf Siberski Germany 14 398 1.1× 546 2.2× 369 1.8× 212 1.7× 38 0.5× 37 878
Wo-Shun Luk Canada 11 369 1.0× 179 0.7× 175 0.9× 136 1.1× 47 0.6× 31 563
Ahmed Metwally United States 13 369 1.0× 415 1.7× 395 1.9× 323 2.5× 124 1.7× 22 773
Peter Thanisch United Kingdom 10 500 1.4× 334 1.3× 193 1.0× 116 0.9× 54 0.7× 32 773

Countries citing papers authored by Immanuel Trummer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Immanuel Trummer

This figure shows the co-authorship network connecting the top 25 collaborators of Immanuel Trummer. A scholar is included among the top collaborators of Immanuel Trummer 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 Immanuel Trummer. Immanuel Trummer 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.
2.
Trummer, Immanuel, et al.. (2024). ThalamusDB: Approximate Query Processing on Multi-Modal Data. Proceedings of the ACM on Management of Data. 2(3). 1–26. 2 indexed citations
3.
Trummer, Immanuel. (2024). Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models. Proceedings of the VLDB Endowment. 17(11). 3511–3523. 2 indexed citations
4.
Trummer, Immanuel. (2024). Towards Out-of-Core Simulators for Quantum Computing. 1–1.
5.
Trummer, Immanuel, et al.. (2024). Demonstrating λ-Tune: Exploiting Large Language Models for Workload-Adaptive Database System Tuning. 508–511. 1 indexed citations
6.
Trummer, Immanuel. (2024). Large Language Models: Principles and Practice. 5354–5357. 2 indexed citations
7.
Trummer, Immanuel & Davide Venturelli. (2024). Leveraging Quantum Computing for Database Index Selection. 14–26. 4 indexed citations
8.
Trummer, Immanuel, et al.. (2024). DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger. Proceedings of the VLDB Endowment. 17(12). 4337–4340.
9.
10.
Trummer, Immanuel. (2023). DB-BERT: making database tuning tools “read” the manual. The VLDB Journal. 33(4). 1085–1104. 1 indexed citations
11.
Trummer, Immanuel, et al.. (2023). Quantum-Inspired Digital Annealing for Join Ordering. Proceedings of the VLDB Endowment. 17(3). 511–524. 10 indexed citations
12.
Trummer, Immanuel, et al.. (2021). SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning. ACM Transactions on Database Systems. 46(3). 1–45. 27 indexed citations
13.
Wang, Junxiong, et al.. (2021). UDO. Proceedings of the VLDB Endowment. 14(13). 3402–3414. 25 indexed citations
14.
Trummer, Immanuel, et al.. (2020). BitGourmet: Deterministic Approximation via Optimized Bit Selection.. Conference on Innovative Data Systems Research.
15.
Trummer, Immanuel. (2019). Data Vocalization with CiceroDB.. Conference on Innovative Data Systems Research. 3 indexed citations
16.
Karagiannis, Georgios, et al.. (2019). Mining an "anti-knowledge base" from Wikipedia updates with applications to fact checking and beyond. Proceedings of the VLDB Endowment. 13(4). 561–573. 15 indexed citations
17.
Trummer, Immanuel, et al.. (2018). The FactChecker: Verifying Text Summaries of Relational Data Sets.. arXiv (Cornell University).
18.
Trummer, Immanuel, et al.. (2018). Vocalizing large time series efficiently. Proceedings of the VLDB Endowment. 11(11). 1563–1575. 2 indexed citations
19.
Trummer, Immanuel & Christoph Koch. (2014). Approximation schemes for many-objective query optimization. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1299–1310. 19 indexed citations
20.
Trummer, Immanuel, Frank Leymann, Ralph Mietzner, & Walter Binder. (2010). Cost-Optimal Outsourcing of Applications into the Clouds. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5870. 135–142. 15 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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