Goetz Graefe

8.7k citations
179 papers · 6.4k · 1 hit paper · h-index 38

Impact in

Papers in

Goetz Graefe

164 papers receiving 5.6k citations

Goetz Graefe's Hit Papers

Query evaluation techniques for large databases 1993 · 967 citations
9670+11+22Years since publication250500750

Peers

Goetz Graefe
Comparison fields: 5 of 67
  • Signal Processing 3.4k
  • Computer Networks and Communications 6.0k
  • Hardware and Architecture 626
  • Information Systems 1.9k
  • Artificial Intelligence 2.0k
Replace Per-Åke Larson with:
Per-Åke Larson United States
Guy M. Lohman United States
Ashish Gupta United States
Stratis D. Viglas United Kingdom
Vijayshankar Raman United States
Elizabeth O’Neil United States
S. Sudarshan India
Andrew Pavlo United States
David Lomet United States
Mary Fernández United States
Goetz Graefe relative to Per-Åke Larson United States Per-Åke Larson's profile →
Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Query evaluation techniques for large databases
Hit paper breakdown →
1993967
2
GAMMA—a high performance dataflow database machine
1986314
3 1990276
4 1994269
5 2002230
6
The Cascades Framework for Query Optimization.
1995219
7 1995217
8 1987217
9 1994144
10 1989120
11 2002108
12
The EXODUS extensible DBMS project: an overview
1989107
13 2009107
14 1991102
15 2006101
16 199797
17 201194
18 201187
19 201084
20
Sorting And Indexing With Partitioned B-Trees
200379

About Goetz Graefe

Goetz Graefe is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 179 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (120 papers), Data Management and Algorithms (73 papers), Distributed systems and fault tolerance (65 papers), Advanced Data Storage Technologies (63 papers), Cloud Computing and Resource Management (26 papers), Algorithms and Data Compression (22 papers), Parallel Computing and Optimization Techniques (18 papers) and Distributed and Parallel Computing Systems (11 papers). The work is most often cited by research in Signal Processing (3.4k citations), Computer Networks and Communications (6.0k citations), Hardware and Architecture (626 citations), Information Systems (1.9k citations) and Artificial Intelligence (2.0k citations). Goetz Graefe has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David J. DeWitt, Harumi Kuno, William J. McKenna, Patrick O’Neil, Richard L. Cole, Leonard Shapiro, David Maier, M. Muralikrishna, Jim Gray and Krishna B. Kumar. Their work appears in journals such as ACM SIGMOD Record, Proceedings of the VLDB Endowment, ACM Transactions on Database Systems, ACM Computing Surveys and Communications of the ACM.

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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