Alexander Will
Impact in
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- Technology Adoption and User Behaviour
- Marketing top 5%
- Consumer Behavior in Brand Consumption and Identification
- Environmental Sustainability in Business
Papers in
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- Sensory Analysis and Statistical Methods 2
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- Spectroscopy and Chemometric Analyses 2
- Co-authors
- Christian M. Ringle (3 shared papers)Siegfried P. Gudergan (2 shared papers)Zheng Chen (1 shared paper)Xiaobo Tan (1 shared paper)Rivka Dikstein (1 shared paper)Anat Bahat (1 shared paper)Hiroyuki Hiraishi (1 shared paper)Ora Haimov (1 shared paper)
- Journals
- Smart Materials and Structures (1 paper)Journal of Business Research (1 paper)Molecular and Cellular Biology (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Alexander Will
5 papers receiving 659 citations
Alexander Will's Hit Papers
Peers
Comparison fields: 5 of 119
- Information Systems and Management 127
- Marketing 160
- Organizational Behavior and Human Resource Management 165
- Strategy and Management 131
- Tourism, Leisure and Hospitality Management 11
Countries citing papers authored by Alexander Will
This map shows the geographic impact of Alexander Will'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 Alexander Will with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Will more than expected).
Fields of papers citing papers by Alexander Will
This network shows the impact of papers produced by Alexander Will. 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 Alexander Will. The network helps show where Alexander Will may publish in the future.
Co-authors
The 10 scholars most cited alongside Alexander Will, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Confirmatory tetrad analysis in PLS path modeling Hit paper breakdown → | 2008 | 520 |
| 2 | 2007 | 138 | |
| 3 | 2018 | 22 | |
| 4 | Confirmatory Tetrad Analysis in PLS Path Modeling | 2008 | 12 |
| 5 | Chapter 8 Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples | 2010 | 2 |
About Alexander Will
Alexander Will is a scholar working on Food Science, Analytical Chemistry, Molecular Biology, Artificial Intelligence and Biomedical Engineering, having authored 5 papers that have together received 694 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (2 papers), Sensory Analysis and Statistical Methods (2 papers), Advanced Text Analysis Techniques (1 paper), RNA Research and Splicing (1 paper), Customer Service Quality and Loyalty (1 paper), Dielectric materials and actuators (1 paper), Wine Industry and Tourism (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Information Systems and Management (127 citations), Marketing (160 citations), Organizational Behavior and Human Resource Management (165 citations), Strategy and Management (131 citations) and Tourism, Leisure and Hospitality Management (11 citations). Alexander Will has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Christian M. Ringle, Siegfried P. Gudergan, Zheng Chen, Xiaobo Tan, Rivka Dikstein, Anat Bahat, Hiroyuki Hiraishi, Ora Haimov, Katsura Asano and Anna Uzonyi. Their work appears in journals such as Smart Materials and Structures, Journal of Business Research, Molecular and Cellular Biology and SSRN Electronic Journal.
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.