Lars Eriksson

4.0k citations
198 papers · 3.0k indexed · h-index 28
Topics
Advanced Combustion Engine Technologies (122 papers)Real-time simulation and control systems (43 papers)Hydraulic and Pneumatic Systems (40 papers)

In The Last Decade

Lars Eriksson

190 papers receiving 2.7k citations

Peers

Lars Eriksson
Comparison fields: 5 of 103
  • Fluid Flow and Transfer Processes 1.7k
  • Automotive Engineering 1.2k
  • Control and Systems Engineering 1.0k
  • Mechanical Engineering 804
  • Computational Mechanics 500
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Citations per field
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Citations per year

Countries citing papers authored by Lars Eriksson

Since Specialization
Citations

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

Fields of papers citing papers by Lars Eriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Eriksson

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Eriksson. A scholar is included among the top collaborators of Lars Eriksson 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 Lars Eriksson. Lars Eriksson 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
#WorkIndexed citations
1 1
2 0
3 3
4 2
5 14
6 8
7 10
8
A Robust Model Predictive Control Framework for Diesel Generators
1
9
Optimal Step Responses in Diesel-Electric Systems
6
10
Modeling of a diesel engine with intake throttle, VGT, and EGR
12
11
A generic architecture for surveillance systems
2
12 15
13 27
14
Modeling of a Diesel Engine with VGT and EGR capturing Sign Reversal and Non-minimum Phase Behaviors
7
15
Non-linear Compensator for handling non-linear Effects in EGR VGT Diesel Engines
2
16
Modeling of a Diesel Engine with VGT and EGR including Oxygen Mass Fraction
13
17 47
18
VehProLib - Vehicle Propulsion Library, Library development issues
3
19 82
20 1

About Lars Eriksson

Lars Eriksson is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Control and Systems Engineering, having authored 198 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (122 papers), Real-time simulation and control systems (43 papers) and Hydraulic and Pneumatic Systems (40 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.7k citations), Automotive Engineering (1.2k citations) and Control and Systems Engineering (1.0k citations). Lars Eriksson has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Lars Nielsen, Jens Wahlström, Martin Sivertsson, Per Andersson, Johan Wahlström, Ingemar Andersson, Erik Frisk, Marcus Klein, Xavier Llamas and Fredrik Pettersson. Their work appears in journals such as Building and Environment, Accident Analysis & Prevention and IEEE Transactions on Control Systems Technology.

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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