Goetz Graefe

8.7k total citations · 1 hit paper
149 papers, 5.0k citations indexed

About

Goetz Graefe is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Goetz Graefe has authored 149 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Computer Networks and Communications, 60 papers in Signal Processing and 36 papers in Information Systems. Recurrent topics in Goetz Graefe's work include Advanced Database Systems and Queries (103 papers), Data Management and Algorithms (60 papers) and Advanced Data Storage Technologies (53 papers). Goetz Graefe is often cited by papers focused on Advanced Database Systems and Queries (103 papers), Data Management and Algorithms (60 papers) and Advanced Data Storage Technologies (53 papers). Goetz Graefe collaborates with scholars based in United States, Germany and United Kingdom. Goetz Graefe's co-authors include Harumi Kuno, David J. DeWitt, William J. McKenna, Richard L. Cole, Patrick O’Neil, Leonard Shapiro, Jim Gray, M. Muralikrishna, Krishna B. Kumar and Michael L. Heytens and has published in prestigious journals such as Communications of the ACM, ACM Computing Surveys and IEEE Transactions on Software Engineering.

In The Last Decade

Goetz Graefe

139 papers receiving 4.4k citations

Hit Papers

Query evaluation techniques for large databases 1993 2026 2004 2015 1993 250 500 750

Peers

Goetz Graefe
Comparison fields: 5 of 59
  • Computer Networks and Communications 4.7k
  • Signal Processing 2.6k
  • Information Systems 1.6k
  • Artificial Intelligence 1.6k
  • Hardware and Architecture 530
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Citations per field, relative to Goetz Graefe
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Citations per year, relative to Goetz Graefe
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Countries citing papers authored by Goetz Graefe

Since Specialization
Citations

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

Fields of papers citing papers by Goetz Graefe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goetz Graefe

This figure shows the co-authorship network connecting the top 25 collaborators of Goetz Graefe. A scholar is included among the top collaborators of Goetz Graefe 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 Goetz Graefe. Goetz Graefe 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
# Work Indexed citations
1
The Five-minute Rule Thirty Years Later and its Impact on the Storage Hierarchy.
8
2
Single-pass restore after a media failure.
5
3
Logical recovery from single-page failures.
1
4
A Generalized Join Algorithm.
4
5
"One Size Fits All": An Idea Whose Time Has Come and Gone?
4
6
Proceedings of the Fourth International Workshop on Testing Database Systems
0
7
Efficient Verification of B-tree Integrity.
8
8
Vermessung von Referenzstrecken fuer Simulation und Fahrversuch mit dem Mobilen-Strassen-Erfassungs-System (MoSES) / Survey of reference routes for simulation and driving tests using the Mobile-Road-Mapping-System (MoSES)
0
9
Executing nested queries
22
10
Dynamic Query Evaluation Plans: Some Course Corrections?
12
11
Hash Joins and Hash Teams in Microsoft SQL Server
30
12
On the efficient gathering of sufficient statistics for classification from large SQL databases
50
13
The Cascades Framework for Query Optimization.
205
14 128
15 17
16
Memory-Contention Responsive Hash Joins
18
17
Algebraic Optimization of Computations over Scientific Databases
23
18
Query optimization in revelation, an overview
10
19 52
20
GAMMA—a high performance dataflow database machine
260

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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