Lars Pareto

764 citations
25 papers · 581 · h-index 9

Impact in

Papers in

    • Software Engineering Techniques and Practices 14
    • Software Engineering Research 14
    • Advanced Software Engineering Methodologies 10
    • Logic, programming, and type systems 3

Lars Pareto

23 papers receiving 553 citations

Peers

Lars Pareto
Comparison fields: 5 of 43
  • Hardware and Architecture 147
  • Software 67
  • Computational Theory and Mathematics 247
  • Artificial Intelligence 343
  • Information Systems 203
Replace Richard F. Paige with:
Richard F. Paige United Kingdom
Luqi United States
William E. Riddle United States
Stuart Faulk United States
Juha Kuusela Finland
Mikael Berndtsson Sweden
Petra Malik New Zealand
John Buxton United States
Luqi United States
R. J. A. Buhr Canada
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Citations per field
00.5×3.9×
Richard F. Paige · 1×
Citations per year

Countries citing papers authored by Lars Pareto

Since Specialization
Citations

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

Fields of papers citing papers by Lars Pareto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Lars Pareto, 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 Lars Pareto Line = papers co-authored together Lars Pareto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996219
2 1999102
3 201184
4 201030
5 201328
6 199923
7 201221
8 201510
9 20118
10 20148
11 20137
12 20067
13 20096
14 20155
15 20125
16
Architectural Concerns in Base Station Development
20103
17 20083
18 20113
19 20142
20 20082

About Lars Pareto

Lars Pareto is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Software and Computer Networks and Communications, having authored 25 papers that have together received 581 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (14 papers), Software Engineering Research (14 papers), Advanced Software Engineering Methodologies (10 papers), Open Source Software Innovations (5 papers), Model-Driven Software Engineering Techniques (4 papers), Logic, programming, and type systems (3 papers), Software System Performance and Reliability (2 papers) and Business Process Modeling and Analysis (2 papers). The work is most often cited by research in Hardware and Architecture (147 citations), Software (67 citations), Computational Theory and Mathematics (247 citations), Artificial Intelligence (343 citations) and Information Systems (203 citations). Lars Pareto has collaborated with scholars based in Sweden, Norway and France. Frequent co-authors include John Hughes, Amr Sabry, Anna Sandberg, Antonio Martini, Thomas Arts, Jan Bosch, Peter Eriksson, Miroslaw Staron, Ludwik Kuźniarz and Anna Börjesson. Their work appears in journals such as Journal of Systems and Software, ACM SIGPLAN Notices, Software & Systems Modeling, IEEE Software and Lecture notes in computer science.

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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