Daniel Baier

3.4k total citations · 2 hit papers
68 papers, 2.0k citations indexed

About

Daniel Baier is a scholar working on Marketing, Sociology and Political Science and Strategy and Management. According to data from OpenAlex, Daniel Baier has authored 68 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Marketing, 17 papers in Sociology and Political Science and 14 papers in Strategy and Management. Recurrent topics in Daniel Baier's work include Digital Marketing and Social Media (15 papers), Consumer Retail Behavior Studies (12 papers) and Consumer Market Behavior and Pricing (10 papers). Daniel Baier is often cited by papers focused on Digital Marketing and Social Media (15 papers), Consumer Retail Behavior Studies (12 papers) and Consumer Market Behavior and Pricing (10 papers). Daniel Baier collaborates with scholars based in Germany, Canada and United Kingdom. Daniel Baier's co-authors include Alexandra Rese, Stefanie Schreiber, Eleonora Pantano, Andreas Geyer-Schulz, Theresa Maria Rausch, Reinhold Decker, Lars Schmidt-Thieme, Brenda Eschenbrenner, Norman Shaw and Timm F. Wagner and has published in prestigious journals such as Journal of Cleaner Production, Journal of Econometrics and Technological Forecasting and Social Change.

In The Last Decade

Daniel Baier

65 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions

2016 304 citations Alexandra Rese, Daniel Baier et al. Technological Forecasting and Social Change profile →
Chatbots in retailers’ customer communication: How to measure their acceptance?

2020 251 citations Alexandra Rese, Daniel Baier et al. Journal of Retailing and Consumer Services profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Baier Germany	20	951	659	643	308	282	68	2.0k
Alexandra Rese Germany	18	686 0.7×	557 0.8×	595 0.9×	296 1.0×	333 1.2×	33	1.7k
Panos E. Kourouthanassis Greece	20	566 0.6×	861 1.3×	516 0.8×	153 0.5×	191 0.7×	60	1.9k
João Guerreiro Portugal	21	857 0.9×	1.1k 1.6×	315 0.5×	334 1.1×	411 1.5×	46	2.2k
Reto Felix United States	22	1.3k 1.4×	1.2k 1.8×	564 0.9×	115 0.4×	566 2.0×	47	2.7k
Frans Feldberg Netherlands	16	446 0.5×	748 1.1×	462 0.7×	252 0.8×	322 1.1×	30	1.8k
Eleftherios Alamanos United Kingdom	20	925 1.0×	737 1.1×	479 0.7×	149 0.5×	119 0.4×	37	2.1k
Pedro R. Palos‐Sánchez Spain	28	476 0.5×	913 1.4×	479 0.7×	294 1.0×	169 0.6×	101	2.4k
Malaika Brengman Belgium	29	1.2k 1.3×	826 1.3×	512 0.8×	173 0.6×	481 1.7×	68	2.3k
Jeannette Paschen Sweden	15	474 0.5×	563 0.9×	229 0.4×	377 1.2×	134 0.5×	18	2.0k
Daniel Leung Hong Kong	22	1.0k 1.1×	2.1k 3.2×	584 0.9×	233 0.8×	392 1.4×	58	3.0k

Countries citing papers authored by Daniel Baier

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Baier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Baier

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Baier, Daniel, et al.. (2025). Measuring technology acceptance over time using transfer models based on online customer reviews. Journal of Retailing and Consumer Services. 85. 104278–104278. 4 indexed citations

Baier, Daniel, et al.. (2025). Collecting and Analyzing User-Generated Content for Decision Support in Marketing Management: An Overview of Methods and Use Cases. Schmalenbach Journal of Business Research. 77(3). 419–455. 2 indexed citations

Rese, Alexandra & Daniel Baier. (2024). Rental clothing box subscription: The importance of sustainable fashion labels. Journal of Retailing and Consumer Services. 83. 104153–104153. 5 indexed citations

Baier, Daniel, et al.. (2023). One-stage product-line design heuristics: an empirical comparison. OR Spectrum. 46(1). 73–107. 1 indexed citations

Baier, Daniel, et al.. (2021). Online retailing during the COVID-19 pandemic: consumer preferences for marketing actions with consumer self-benefits versus other-benefit components. Journal of Marketing Management. 37(17-18). 1866–1902. 8 indexed citations

Baier, Daniel, et al.. (2021). Profit uplift modeling for direct marketing campaigns: approaches and applications for online shops. Journal of Business Economics. 92(4). 645–673. 3 indexed citations

Brand, Benedikt M. & Daniel Baier. (2020). Adaptive CBC: Are the Benefits Justifying its Additional Efforts Compared to CBC?. Repository KITopen (Karlsruhe Institute of Technology). 6(1). 6. 9 indexed citations

Baier, Daniel, et al.. (2020). Investigating Machine Learning Techniques for Solving Product-line Optimization Problems. Repository KITopen (Karlsruhe Institute of Technology). 6(1). 7. 1 indexed citations

Baier, Daniel & Alexandra Rese. (2020). How to increase multichannel shopping satisfaction? An adapted Kano based stage-gate approach to select new technologies. Journal of Retailing and Consumer Services. 56. 102172–102172. 30 indexed citations

10.

Mütterlein, Joschka, Reinhard Kunz, & Daniel Baier. (2019). Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case. Technological Forecasting and Social Change. 145. 113–124. 33 indexed citations

11.

Baier, Daniel, Alexandra Rese, & Maximilian Röglinger. (2018). Conversational User Interfaces for Online Shops? : A Categorization of Use Cases. Journal of the Association for Information Systems. 25 indexed citations

12.

Rese, Alexandra, Daniel Baier, Andreas Geyer-Schulz, & Stefanie Schreiber. (2016). How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions. Technological Forecasting and Social Change. 124. 306–319. 304 indexed citations breakdown →

13.

Baier, Daniel, et al.. (2015). Towards Lifestyle Segmentation via Uploaded Images from Surveys and Social Networks. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 4906–4915. 2 indexed citations

14.

Baier, Daniel, et al.. (2013). Lead user intelligence for complex product development: the case of industrial IT-security solutions. International Journal of Technology Intelligence and Planning. 9(3). 232–232. 3 indexed citations

15.

Rese, Alexandra & Daniel Baier. (2012). What Methods and Instruments Do Innovation Networks Use? : Findings From a Survey. Prostaglandins Leukotrienes and Essential Fatty Acids. 43(4). 209–22. 1 indexed citations

16.

Schmitt, Ingo, et al.. (2012). Can Adaptive Conjoint Analysis perform in a Preference Logic Framework. 1 indexed citations

17.

Schmitt, Ingo, et al.. (2011). Performing conjoint analysis within a logic-based framework. Federated Conference on Computer Science and Information Systems. 261–268. 2 indexed citations

18.

Baier, Daniel, Reinhold Decker, & Lars Schmidt-Thieme. (2005). Data Analysis and Decision Support (Studies in Classification, Data Analysis, and Knowledge Organization). Springer eBooks. 6 indexed citations

19.

Baier, Daniel. (2003). Classification and Marketing Research. 10. 21–31. 1 indexed citations

20.

Baier, Daniel & F. Säuberlich. (1997). Kundennutzenschätzung mittels individueller Hybrid-Conjointanalyse. 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.

Explore authors with similar magnitude of impact