Johan Åkesson

2.7k total citations · 1 hit paper
94 papers, 1.7k citations indexed

About

Johan Åkesson is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Johan Åkesson has authored 94 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Control and Systems Engineering, 55 papers in Computational Theory and Mathematics and 23 papers in Management Science and Operations Research. Recurrent topics in Johan Åkesson's work include Modeling and Simulation Systems (53 papers), Advanced Control Systems Optimization (35 papers) and Real-time simulation and control systems (22 papers). Johan Åkesson is often cited by papers focused on Modeling and Simulation Systems (53 papers), Advanced Control Systems Optimization (35 papers) and Real-time simulation and control systems (22 papers). Johan Åkesson collaborates with scholars based in Sweden, United Kingdom and Italy. Johan Åkesson's co-authors include Hubertus Tummescheit, Fredrik Magnusson, Magnus Gäfvert, Karl-Erik Årzén, Christian Andersson, Claus Führer, Lieve Helsen, Roel De Coninck, Hilding Elmqvist and Jakob Mauss and has published in prestigious journals such as Computers & Chemical Engineering, Applied Sciences and International Journal of Physical Distribution & Logistics Management.

In The Last Decade

Johan Åkesson

86 papers receiving 1.5k citations

Hit Papers

Functional Mockup Interface 2.0: The Standard for Tool in... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Johan Åkesson Sweden 21 834 558 309 258 243 94 1.7k
J.E. Rooda Netherlands 24 354 0.4× 1.0k 1.9× 295 1.0× 136 0.5× 33 0.1× 208 2.3k
Hans Vangheluwe Belgium 23 332 0.4× 421 0.8× 749 2.4× 100 0.4× 75 0.3× 220 2.5k
Hajime Kita Japan 20 343 0.4× 707 1.3× 133 0.4× 74 0.3× 84 0.3× 122 1.6k
Johannes Bader Switzerland 11 185 0.2× 1.8k 3.2× 424 1.4× 114 0.4× 118 0.5× 12 2.5k
Yan Qiao China 30 210 0.3× 720 1.3× 107 0.3× 70 0.3× 123 0.5× 139 2.6k
Don T. Phillips United States 15 286 0.3× 171 0.3× 192 0.6× 88 0.3× 55 0.2× 43 1.8k
Boris Naujoks Germany 12 185 0.2× 1.7k 3.0× 431 1.4× 137 0.5× 35 0.1× 48 2.3k
Nestor Michelena United States 19 244 0.3× 500 0.9× 203 0.7× 398 1.5× 44 0.2× 37 1.7k
Cláudio Gomes Denmark 14 230 0.3× 126 0.2× 185 0.6× 92 0.4× 67 0.3× 64 868
Li Xia China 18 271 0.3× 48 0.1× 148 0.5× 121 0.5× 205 0.8× 156 1.4k

Countries citing papers authored by Johan Åkesson

Since Specialization
Citations

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

Fields of papers citing papers by Johan Åkesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Åkesson

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Åkesson. A scholar is included among the top collaborators of Johan Åkesson 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 Johan Åkesson. Johan Åkesson 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
1.
Åkesson, Johan. (2018). The Failed American Dream? Representation of the American Dream in F. Scott Fitzgerald’s The Great Gatsby and Ralph Ellison’s Invisible Man. Lund University Publications Student Papers (Lund University). 1 indexed citations
2.
Andersson, Christian, Claus Führer, & Johan Åkesson. (2016). Efficient Predictor for Co-Simulation with Multistep Sub-System Solvers. Lund University Publications (Lund University). 2016(1). 2 indexed citations
3.
Andersson, Christian, et al.. (2014). Discontinuities handled with events in Assimulo. Linköping electronic conference proceedings. 96. 827–836. 1 indexed citations
4.
Andersson, Daniel, et al.. (2014). Consistent Simulation Environment with FMI based Tool Chain. Linköping electronic conference proceedings. 96. 1277–1283. 4 indexed citations
5.
Rantzer, Anders & Johan Åkesson. (2013). Workshop: Systems Design meets Equation-based Languages. Lund University Publications (Lund University). 7638.
6.
Åkesson, Johan, et al.. (2012). Modeling of the PE3 Plant at Borealis AB. Lund University Publications (Lund University). 7622. 2 indexed citations
7.
Otter, Martin, Johan Åkesson, Martin Arnold, et al.. (2012). Functional Mockup Interface 2.0: The Standard for Tool independent Exchange of Simulation Models. Linköping electronic conference proceedings. 76. 173–184. 320 indexed citations breakdown →
8.
Andersson, Joel, Johan Åkesson, & Moritz Diehl. (2012). Dynamic optimization with CasADi. Lund University Publications (Lund University). 681–686. 31 indexed citations
9.
Andersson, Christian, et al.. (2012). Derivative-free Parameter Optimization of Functional Mock-up Units. Linköping electronic conference proceedings. 76. 819–828. 11 indexed citations
10.
Åkesson, Johan, et al.. (2011). Economic Cost Function Design and Grade Change Optimization for a Gas Phase Polyethylene Reactor. Lund University Publications (Lund University). 1 indexed citations
11.
Andersson, Niklas, et al.. (2011). Calibration of a polyethylene plant for grade change optimisations. Lund University Publications (Lund University).
12.
Åkesson, Johan, et al.. (2011). Cost function design for economically optimal grade changes for a polyethylene gas phase reactor. 4. 6590–6595. 1 indexed citations
13.
Åkesson, Johan, Torbjörn Ekman, & Görel Hedin. (2009). Implementation of a Modelica compiler using JastAdd attribute grammars. Science of Computer Programming. 75(1-2). 21–38. 26 indexed citations
14.
Åkesson, Johan, et al.. (2009). Modeling and optimization with Optimica and JModelica.org—Languages and tools for solving large-scale dynamic optimization problems. Computers & Chemical Engineering. 34(11). 1737–1749. 237 indexed citations
15.
Åkesson, Johan. (2008). Optimica—An Extension of Modelica Supporting Dynamic Optimization. Lund University Publications (Lund University). 85 indexed citations
16.
Åkesson, Johan, et al.. (2006). A Modelica Library for Paper Machine Dryer Section Modeling—DryLib — and applications. Lund University Publications (Lund University). 7615. 3 indexed citations
17.
Åkesson, Johan, et al.. (2006). Modeling, Calibration and Control of a Paper Machine Dryer Section. Lund University Publications (Lund University). 9 indexed citations
18.
Åkesson, Johan. (2006). MPCtools 1.0 -- Reference Manual. Lund University Publications (Lund University). 7613. 11 indexed citations
19.
Henriksson, Dan & Johan Åkesson. (2004). Flexible Implementation of Model Predictive Control Using Sub-Optimal Solutions. Lund University Publications (Lund University). 7610. 15 indexed citations
20.
Åkesson, Johan & Karl-Erik Årzén. (2002). A Frame Work for Process State Transitions: Grade Changes. Lund University Publications (Lund University). 1 indexed citations

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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