Dieter Gawlick

2.4k citations
43 papers · 1.3k indexed · 1 hit paper · h-index 13

Dieter Gawlick

42 papers receiving 1.1k citations

Hit Papers

The log-structured merge-tree (LSM-tree)8461996202620062016250500750

Peers

Dieter Gawlick
Comparison fields: 5 of 54
  • Computer Networks and Communications 1.1k
  • Hardware and Architecture 204
  • Information Systems 473
  • Signal Processing 194
  • Information Systems and Management 93
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Citations per field
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Citations per year

Countries citing papers authored by Dieter Gawlick

Since Specialization
Citations

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

Fields of papers citing papers by Dieter Gawlick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dieter Gawlick, 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 Dieter Gawlick Line = papers co-authored together Dieter Gawlick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Multi-model Query Processing Meets Category Theory and Functional Programming.
20211
2 20191
3
Adaptive Schema Databases
201711
4 20176
5 201715
6 201720
7
Management of Flexible Schema Data in RDBMSs - Opportunities and Limitations for NoSQL -
201518
8
Mastering Situation Awareness: The Next Frontier?
20152
9
Interoperability for provenance-aware databases using PROV and JSON
20155
10
Reenacting transactions to compute their provenance
20141
11 20113
12 20046
13
Managing Expressions as Data in Relational Database Systems
200316
14 200238
15
The log-structured merge-tree (LSM-tree)breakdown →
1996846
16
Future directions in DBMS research
199415
17
Coordinating multi-transaction activities
199038
18
Processing "Hot Spots" in High Performance Systems.
198544
19
One Thousand Transactions per Second.
198525
20
High Availability with Large Transaction Systems.
19852

About Dieter Gawlick

Dieter Gawlick is a scholar working on Information Systems and Management, Computer Networks and Communications, Management Science and Operations Research, Signal Processing and Information Systems, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (20 papers), Scientific Computing and Data Management (11 papers), Data Quality and Management (10 papers), Semantic Web and Ontologies (7 papers), Data Management and Algorithms (7 papers), Service-Oriented Architecture and Web Services (6 papers), Distributed systems and fault tolerance (5 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Hardware and Architecture (204 citations), Information Systems (473 citations), Signal Processing (194 citations) and Information Systems and Management (93 citations). Dieter Gawlick has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Elizabeth O’Neil, Patrick E. O׳Neil, E.T. Cheng, Zhen Hua Liu, Johannes Klein, Héctor García-Molina, Kenneth Salem, Boris Glavic, Venkatesh Babu Radhakrishnan and Eric S.W. Chan. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, IEEE Transactions on Knowledge and Data Engineering, Applied Ontology and Acta Informatica.

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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