Dieter Graß

1.5k total citations
48 papers, 966 citations indexed

About

Dieter Graß is a scholar working on Economics and Econometrics, Management Science and Operations Research and Finance. According to data from OpenAlex, Dieter Graß has authored 48 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Economics and Econometrics, 10 papers in Management Science and Operations Research and 8 papers in Finance. Recurrent topics in Dieter Graß's work include Economic theories and models (16 papers), Climate Change Policy and Economics (11 papers) and Game Theory and Applications (4 papers). Dieter Graß is often cited by papers focused on Economic theories and models (16 papers), Climate Change Policy and Economics (11 papers) and Game Theory and Applications (4 papers). Dieter Graß collaborates with scholars based in Austria, United States and Netherlands. Dieter Graß's co-authors include Gustav Feichtinger, Jonathan P. Caulkins, Gernot Tragler, Doris A. Behrens, Peter M. Kort, Richard F. Hartl, Andrea Seidl, Alexia Prskawetz, Fouad El Ouardighi and Willi Semmler and has published in prestigious journals such as PLoS ONE, European Journal of Operational Research and Ecological Economics.

In The Last Decade

Dieter Graß

44 papers receiving 930 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dieter Graß Austria 14 389 150 139 124 105 48 966
Shuhua Zhang China 19 244 0.6× 150 1.0× 78 0.6× 170 1.4× 132 1.3× 109 1.1k
Gernot Tragler Austria 16 351 0.9× 253 1.7× 159 1.1× 134 1.1× 59 0.6× 44 1.1k
Doris A. Behrens Austria 12 266 0.7× 151 1.0× 103 0.7× 109 0.9× 53 0.5× 47 841
Simone Marsiglio Italy 17 536 1.4× 172 1.1× 77 0.6× 44 0.4× 46 0.4× 66 831
Walter Beyeler United States 14 380 1.0× 151 1.0× 263 1.9× 80 0.6× 82 0.8× 40 1.5k
Yuri Yatsenko United States 21 460 1.2× 35 0.2× 103 0.7× 94 0.8× 49 0.5× 139 1.5k
Andrea Flori Italy 15 631 1.6× 153 1.0× 398 2.9× 52 0.4× 33 0.3× 49 1.3k
Natali Hritonenko United States 20 445 1.1× 32 0.2× 96 0.7× 102 0.8× 49 0.5× 94 1.1k
Maria Luisa Petit Italy 10 452 1.2× 31 0.2× 68 0.5× 154 1.2× 141 1.3× 15 855
Pietro Terna Italy 10 179 0.5× 185 1.2× 54 0.4× 207 1.7× 63 0.6× 35 786

Countries citing papers authored by Dieter Graß

Since Specialization
Citations

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

Fields of papers citing papers by Dieter Graß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dieter Graß

This figure shows the co-authorship network connecting the top 25 collaborators of Dieter Graß. A scholar is included among the top collaborators of Dieter Graß 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 Dieter Graß. Dieter Graß 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.
Feichtinger, Gustav, Dieter Graß, Peter M. Kort, et al.. (2023). How Hartl exceeds Skiba: determinants of a successful career in academia. Central European Journal of Operations Research. 32(2). 543–556.
2.
Yegorov, Yuri, et al.. (2021). Growth and Collapse of Empires: A Dynamic Optimization Model. Oesterreichisches Musiklexikon online (Institut für kunst- und musikhistorische Forschungen der Österreichischen Akademie der Wissenschaften). 1 indexed citations
3.
Semmler, Willi, et al.. (2021). De-risking of green investments through a green bond market – Empirics and a dynamic model. Journal of Economic Dynamics and Control. 131. 104201–104201. 46 indexed citations
4.
Caulkins, Jonathan P., Dieter Graß, Gustav Feichtinger, et al.. (2021). The optimal lockdown intensity for COVID-19. Journal of Mathematical Economics. 93. 102489–102489. 54 indexed citations
5.
Caulkins, Jonathan P., Dieter Graß, Gustav Feichtinger, et al.. (2020). How long should the COVID-19 lockdown continue?. PLoS ONE. 15(12). e0243413–e0243413. 37 indexed citations
6.
Semmler, Willi, et al.. (2020). De-risking of Green Investments through a Green Bond Market: Empirics and a Dynamic Model. SSRN Electronic Journal. 2 indexed citations
7.
Feichtinger, Gustav, Dieter Graß, & Maria Winkler‐Dworak. (2019). The mathematics of ageing:. Central European Journal of Operations Research. 28(2). 371–399. 3 indexed citations
8.
Caulkins, Jonathan P., Gustav Feichtinger, Dieter Graß, & Gernot Tragler. (2018). A Model of Moderation: Finding Skiba Points on a Slippery Slope. Figshare. 1 indexed citations
9.
Graß, Dieter, et al.. (2018). Optimal investment and location decisions of a firm in a flood risk area using impulse control theory. Central European Journal of Operations Research. 27(4). 1051–1077. 6 indexed citations
10.
Graß, Dieter, et al.. (2017). Infinite horizon cancer treatment model with isoperimetrical constraint: existence of optimal solutions and numerical analysis. International Journal of Control. 92(6). 1401–1414.
11.
12.
Ouardighi, Fouad El, G. M. Erickson, Dieter Graß, & Steffen Jørgensen. (2016). Contracts and Information Structure in a Supply Chain with Operations and Marketing Interaction. International Game Theory Review. 18(4). 1650014–1650014. 5 indexed citations
13.
Ouardighi, Fouad El, Hassan Benchekroun, & Dieter Graß. (2016). Self-regenerating environmental absorption efficiency and the $$\varvec{ soylent~green~scenario}$$ s o y l e n t g r e e n s c e n a r i o. Annals of Operations Research. 238(1-2). 179–198. 7 indexed citations
14.
Caulkins, Jonathan P., Gustav Feichtinger, Dieter Graß, et al.. (2015). Capital stock management during a recession that freezes credit markets. Journal of Economic Behavior & Organization. 116. 1–14. 2 indexed citations
15.
Graß, Dieter, et al.. (2014). Small-noise asymptotics of Hamilton–Jacobi–Bellman equations and bifurcations of stochastic optimal control problems. Communications in Nonlinear Science and Numerical Simulation. 22(1-3). 38–54. 7 indexed citations
16.
Caulkins, Jonathan P., Gustav Feichtinger, Dieter Graß, et al.. (2012). Leading bureaucracies to the tipping point: An alternative model of multiple stable equilibrium levels of corruption. European Journal of Operational Research. 225(3). 541–546. 9 indexed citations
17.
Graß, Dieter, et al.. (2012). Numerical Algorithms for Deterministic Impulse Control Models with Applications. SSRN Electronic Journal. 2 indexed citations
18.
Ouardighi, Fouad El, Hassan Benchekroun, & Dieter Graß. (2011). Controlling pollution and environmental absorption capacity. Annals of Operations Research. 220(1). 111–133. 27 indexed citations
19.
Graß, Dieter & Gernot Tragler. (2010). Optimal dynamic management of the population mix. Central European Journal of Operations Research. 18(4). 539–551. 1 indexed citations
20.
Caulkins, Jonathan P., et al.. (2010). Keeping Options Open: an Optimal Control Model with Trajectories That Reach a DNSS Point in Positive Time. SIAM Journal on Control and Optimization. 48(6). 3698–3707. 19 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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