Per-Åke Larson

7.0k citations
118 papers · 4.5k indexed · 2 hit papers · h-index 34

Impact in

Papers in

    • Advanced Database Systems and Queries 61
    • Advanced Data Storage Technologies 39
    • Distributed systems and fault tolerance 29
    • Caching and Content Delivery 15
    • Distributed and Parallel Computing Systems 13
    • Data Management and Algorithms 38

Per-Åke Larson

115 papers receiving 4.1k citations

Hit Papers

Hekaton 2013 · 330 citations
3302008202620142020100200300400500

Peers

Per-Åke Larson
Comparison fields: 5 of 84
  • Computer Networks and Communications 3.9k
  • Signal Processing 1.6k
  • Hardware and Architecture 647
  • Information Systems 1.7k
  • Artificial Intelligence 1.3k
Replace Goetz Graefe with:
Goetz Graefe United States
Hamid Pirahesh United States
Eugene J. Shekita United States
Peter Boncz Netherlands
Stanley B. Zdonik United States
Guy M. Lohman United States
Raymond A. Lorie United States
Ashish Gupta United States
Elizabeth O’Neil United States
David Lomet United States
Per-Åke Larson relative to Goetz Graefe United States Goetz Graefe's profile →
Citations per field
00.5×1.6×
Goetz Graefe · 1×
Citations per year

Countries citing papers authored by Per-Åke Larson

Since Specialization
Citations

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

Fields of papers citing papers by Per-Åke Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Per-Åke Larson. 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 Per-Åke Larson. The network helps show where Per-Åke Larson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SCOPE
Hit paper breakdown →
2008505
2
Hekaton
Hit paper breakdown →
2013330
3 1986286
4 1986184
5 2011178
6 2001151
7
Eager Aggregation and Lazy Aggregation
1995134
8 1978127
9 2012106
10
Computing queries from derived relations
1985100
11
Query Transformation for PSJ-Queries
198794
12
Linear hashing with partial expansions
198085
13 201875
14 200872
15 200471
16 200770
17 199869
18 201067
19 198566
20 201865

About Per-Åke Larson

Per-Åke Larson is a scholar working on Computer Networks and Communications, Signal Processing, Hardware and Architecture, Artificial Intelligence and Information Systems, having authored 118 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (61 papers), Advanced Data Storage Technologies (39 papers), Data Management and Algorithms (38 papers), Distributed systems and fault tolerance (29 papers), Algorithms and Data Compression (24 papers), Caching and Content Delivery (15 papers), Distributed and Parallel Computing Systems (13 papers) and Cloud Computing and Resource Management (13 papers). The work is most often cited by research in Computer Networks and Communications (3.9k citations), Signal Processing (1.6k citations), Hardware and Architecture (647 citations), Information Systems (1.7k citations) and Artificial Intelligence (1.3k citations). Per-Åke Larson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jingren Zhou, José A. Blakeley, Frank Wm. Tompa, Jonathan Goldstein, Ronnie Chaiken, Mike Zwilling, Craig Freedman, Justin J. Levandoski, B. Keith Jenkins and Cristian Diaconu. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems, ACM SIGMOD Record, IEEE Transactions on Knowledge and Data Engineering and BIT Numerical Mathematics.

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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