Dieter Graß

1.5k citations
48 papers · 966 · h-index 14

Impact in

Papers in

Dieter Graß

44 papers receiving 930 citations

Peers

Dieter Graß
Comparison fields: 5 of 109
  • Modeling and Simulation 139
  • Economics and Econometrics 389
  • Management Science and Operations Research 124
  • Marketing 76
  • Management Information Systems 65
Replace Gernot Tragler with:
Gernot Tragler Austria
Shuhua Zhang China
Doris A. Behrens Austria
Maria Luisa Petit Italy
Dagobert L. Brito United States
Yuri Yatsenko United States
Andrea Seidl Austria
Natali Hritonenko United States
Amanda M. Y. Chu Hong Kong
Knut Sydsæter Norway
Dieter Graß relative to Gernot Tragler Austria Gernot Tragler's profile →
Citations per field
00.5×2.8×
Gernot Tragler · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008205
2 2008195
3 202154
4 202146
5 201643
6 200643
7 202037
8 201637
9 201127
10 201523
11 201722
12 201019
13 201319
14 201318
15 201613
16 201913
17 202212
18 201411
19 202010
20 20129

About Dieter Graß

Dieter Graß is a scholar working on Economics and Econometrics, Management Science and Operations Research, Finance, Global and Planetary Change and Sociology and Political Science, having authored 48 papers that have together received 966 indexed citations. Recurring topics across this work include Economic theories and models (16 papers), Climate Change Policy and Economics (11 papers), Consumer Market Behavior and Pricing (4 papers), Economic Growth and Productivity (4 papers), Innovation Diffusion and Forecasting (4 papers), Game Theory and Applications (4 papers), COVID-19 epidemiological studies (4 papers) and Stochastic processes and financial applications (3 papers). The work is most often cited by research in Modeling and Simulation (139 citations), Economics and Econometrics (389 citations), Management Science and Operations Research (124 citations), Marketing (76 citations) and Management Information Systems (65 citations). Dieter Graß has collaborated with scholars based in Austria, United States and Netherlands. Frequent 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. Their work appears in journals such as Journal of Economic Dynamics and Control, European Journal of Operational Research, Journal of Optimization Theory and Applications, Journal of Economic Behavior & Organization and Annals of Operations Research.

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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