Markus Günther

42 papers receiving 883 citations

Markus Günther's Hit Papers

Agent-based simulation of innovation diffusion: a review 2011 · 346 citations
3460+5+10Years since publication100200300

Peers

Markus Günther
Comparison fields: 5 of 101
  • Management Science and Operations Research 383
  • Metals and Alloys 35
  • Marketing 94
  • Strategy and Management 139
  • Statistical and Nonlinear Physics 112
Replace Wang Jia with:
Wang Jia China
José Manuel Galán Spain
Émile Chappin Netherlands
Jonathan D. Bohlmann United States
Peer‐Olaf Siebers United Kingdom
Vipul Gupta United States
Adolfo López‐Paredes Spain
Ruguo Fan China
Mo Mansouri United States
Junjun Zheng China
Markus Günther relative to Wang Jia China Wang Jia's profile →
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Countries citing papers authored by Markus Günther

Since Specialization
Citations

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

Fields of papers citing papers by Markus Günther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Agent-based simulation of innovation diffusion: a review
Hit paper breakdown →
2011346
2 201591
3 201047
4 202043
5 201841
6 200638
7 201433
8 201432
9 201528
10 201719
11 201218
12 201518
13 201517
14 201914
15 201312
16 201512
17 201711
18 200910
19 201610
20 20139

About Markus Günther

Markus Günther is a scholar working on Management Science and Operations Research, Civil and Structural Engineering, Strategy and Management, Economics and Econometrics and Electrical and Electronic Engineering, having authored 43 papers that have together received 920 indexed citations. Recurring topics across this work include Innovation Diffusion and Forecasting (13 papers), Water Systems and Optimization (12 papers), Hydraulic and Pneumatic Systems (5 papers), Digital Platforms and Economics (5 papers), Complex Systems and Time Series Analysis (3 papers), Sustainable Industrial Ecology (3 papers), Probabilistic and Robust Engineering Design (3 papers) and Smart Grid Security and Resilience (3 papers). The work is most often cited by research in Management Science and Operations Research (383 citations), Metals and Alloys (35 citations), Marketing (94 citations), Strategy and Management (139 citations) and Statistical and Nonlinear Physics (112 citations). Markus Günther has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Christian Stummer, Elmar Kiesling, Lea M. Wakolbinger, Daniela Fuchs-Hanusch, David Steffelbauer, Rudolf Vetschera, Markus Neumayer, David Plà-Santamaria, Enrique Ballestero and Dirk Muschalla. Their work appears in journals such as European Journal of Operational Research, Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control, Transportation Research Part D Transport and Environment, Journal of Business Economics and International Journal of Emerging Technologies in Learning (iJET).

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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