Lea M. Wakolbinger

668 total citations · 1 hit paper
9 papers, 445 citations indexed

About

Lea M. Wakolbinger is a scholar working on Management Science and Operations Research, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Lea M. Wakolbinger has authored 9 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management Science and Operations Research, 4 papers in Economics and Econometrics and 3 papers in Strategy and Management. Recurrent topics in Lea M. Wakolbinger's work include Innovation Diffusion and Forecasting (6 papers), Sustainable Industrial Ecology (3 papers) and Climate Change Policy and Economics (2 papers). Lea M. Wakolbinger is often cited by papers focused on Innovation Diffusion and Forecasting (6 papers), Sustainable Industrial Ecology (3 papers) and Climate Change Policy and Economics (2 papers). Lea M. Wakolbinger collaborates with scholars based in Austria and Germany. Lea M. Wakolbinger's co-authors include Christian Stummer, Markus Günther, Elmar Kiesling, Rudolf Vetschera, Michael Schilde and Erhard Reschenhofer and has published in prestigious journals such as Journal of the Operational Research Society, Theory and Decision and Statistical Papers.

In The Last Decade

Lea M. Wakolbinger

9 papers receiving 428 citations

Hit Papers

Agent-based simulation of innovation diffusion: a review 2011 2026 2016 2021 2011 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
Lea M. Wakolbinger Austria 7 252 114 95 87 65 9 445
Mariangela Guidolin Italy 14 298 1.2× 218 1.9× 45 0.5× 38 0.4× 29 0.4× 30 515
M. Nawaz Sharif Thailand 15 462 1.8× 324 2.8× 202 2.1× 44 0.5× 39 0.6× 37 797
Cédric Gossart France 7 66 0.3× 172 1.5× 137 1.4× 14 0.2× 101 1.6× 27 436
Xinyu Wang China 14 75 0.3× 281 2.5× 211 2.2× 26 0.3× 130 2.0× 63 690
Wenqi Duan China 14 57 0.2× 355 3.1× 104 1.1× 55 0.6× 76 1.2× 32 584
Jean‐Pierre Ponssard France 14 135 0.5× 310 2.7× 63 0.7× 10 0.1× 53 0.8× 59 514
Baizhou Li China 14 115 0.5× 146 1.3× 235 2.5× 10 0.1× 192 3.0× 23 539
Osmo Kuusi Finland 11 93 0.4× 48 0.4× 107 1.1× 15 0.2× 16 0.2× 26 484
Bahram Adrangi United States 17 64 0.3× 640 5.6× 57 0.6× 39 0.4× 27 0.4× 91 865

Countries citing papers authored by Lea M. Wakolbinger

Since Specialization
Citations

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

Fields of papers citing papers by Lea M. Wakolbinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lea M. Wakolbinger. 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 Lea M. Wakolbinger. The network helps show where Lea M. Wakolbinger may publish in the future.

Co-authorship network of co-authors of Lea M. Wakolbinger

This figure shows the co-authorship network connecting the top 25 collaborators of Lea M. Wakolbinger. A scholar is included among the top collaborators of Lea M. Wakolbinger 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 Lea M. Wakolbinger. Lea M. Wakolbinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wakolbinger, Lea M., Christian Stummer, & Markus Günther. (2013). MARKET INTRODUCTION AND DIFFUSION OF NEW PRODUCTS: RECENT DEVELOPMENTS IN AGENT-BASED MODELING. International Journal of Innovation and Technology Management. 10(5). 1340015–1340015. 9 indexed citations
2.
Wakolbinger, Lea M. & Christian Stummer. (2013). Multi-channel management: an exploratory study of current practices. International Journal of Services Economics and Management. 5(1/2). 112–112. 14 indexed citations
3.
Reschenhofer, Erhard, et al.. (2011). Identifying the determinants of foreign direct investment: a data-specific model selection approach. Statistical Papers. 53(3). 739–752. 10 indexed citations
4.
Kiesling, Elmar, Markus Günther, Christian Stummer, & Lea M. Wakolbinger. (2011). Agent-based simulation of innovation diffusion: a review. Central European Journal of Operations Research. 20(2). 183–230. 341 indexed citations breakdown →
5.
Günther, Markus, et al.. (2010). An agent-based simulation approach for the new product diffusion of a novel biomass fuel. Journal of the Operational Research Society. 62(1). 12–20. 47 indexed citations
6.
Vetschera, Rudolf, et al.. (2010). The influence of probabilities on the response mode bias in utility elicitation. Theory and Decision. 69(3). 395–416. 8 indexed citations
7.
Kiesling, Elmar, Markus Günther, Christian Stummer, Rudolf Vetschera, & Lea M. Wakolbinger. (2010). A Spatial Simulation Model For The Diffusion Of A Novel Biofuel On The Austrian Market. 41–49. 3 indexed citations
8.
Kiesling, Elmar, Markus Günther, Christian Stummer, & Lea M. Wakolbinger. (2009). An agent-based simulation model for the market diffusion of a second generation biofuel. Winter Simulation Conference. 1474–1481. 10 indexed citations
9.
Kiesling, Elmar, Markus Günther, Christian Stummer, & Lea M. Wakolbinger. (2009). An Agent-based simulation model for the market diffusion of a second generation biofuel. Proceedings of the 2009 Winter Simulation Conference (WSC). 1474–1481. 3 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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