Leonard J. Paas

1.1k total citations
55 papers, 744 citations indexed

About

Leonard J. Paas is a scholar working on Marketing, Economics and Econometrics and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Leonard J. Paas has authored 55 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Marketing, 12 papers in Economics and Econometrics and 12 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Leonard J. Paas's work include Consumer Market Behavior and Pricing (13 papers), Consumer Behavior in Brand Consumption and Identification (10 papers) and Innovation and Socioeconomic Development (10 papers). Leonard J. Paas is often cited by papers focused on Consumer Market Behavior and Pricing (13 papers), Consumer Behavior in Brand Consumption and Identification (10 papers) and Innovation and Socioeconomic Development (10 papers). Leonard J. Paas collaborates with scholars based in Netherlands, New Zealand and Australia. Leonard J. Paas's co-authors include Enno Masurel, Meike Morren, Emiel L. Eijdenberg, Jeroen K. Vermunt, Tammo H.A. Bijmolt, Elco van Burg, Logi Karlsson, Sara Dolničar, Luca De Angelis and Ivo W. Molenaar and has published in prestigious journals such as Sustainability, Journal of the Royal Statistical Society Series A (Statistics in Society) and Neural Computing and Applications.

In The Last Decade

Leonard J. Paas

50 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leonard J. Paas Netherlands	16	245	175	163	142	127	55	744
Mirza Mohammad Didarul Alam Bangladesh	14	247 1.0×	91 0.5×	186 1.1×	285 2.0×	81 0.6×	30	827
Suellen J. Hogan Australia	4	362 1.5×	133 0.8×	368 2.3×	188 1.3×	103 0.8×	6	1.1k
Jelena Spanjol United States	15	417 1.7×	139 0.8×	300 1.8×	158 1.1×	77 0.6×	45	999
Vincent Onyemah United States	12	212 0.9×	100 0.6×	373 2.3×	179 1.3×	52 0.4×	26	757
Νiki Glaveli Greece	17	254 1.0×	85 0.5×	436 2.7×	187 1.3×	75 0.6×	39	825
M. M. Sulphey Saudi Arabia	14	84 0.3×	104 0.6×	270 1.7×	83 0.6×	82 0.6×	99	740
Lale Gumusluoğlu Türkiye	13	135 0.6×	102 0.6×	439 2.7×	124 0.9×	69 0.5×	27	931
Sammar Abbas Pakistan	14	93 0.4×	64 0.4×	135 0.8×	137 1.0×	89 0.7×	29	543
Kyootai Lee South Korea	16	121 0.5×	104 0.6×	281 1.7×	153 1.1×	54 0.4×	47	758
Shaheen Mansori Malaysia	17	384 1.6×	102 0.6×	452 2.8×	372 2.6×	108 0.9×	59	1.1k

Countries citing papers authored by Leonard J. Paas

Since Specialization

Citations

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

Fields of papers citing papers by Leonard J. Paas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard J. Paas. 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 Leonard J. Paas. The network helps show where Leonard J. Paas may publish in the future.

Co-authorship network of co-authors of Leonard J. Paas

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

All Works

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20 of 20 papers shown

Pennoni, Fulvia, Leonard J. Paas, & Francesco Bartolucci. (2023). A causal hidden Markov model for assessing effects of multiple direct mail campaigns. Test. 32(4). 1336–1364.

Lim, JongYoon, et al.. (2023). Transformer transfer learning emotion detection model: synchronizing socially agreed and self-reported emotions in big data. Neural Computing and Applications. 35(15). 10945–10956. 8 indexed citations

Kostyk, Alena, et al.. (2021). Securing higher-quality data from self-administered questionnaires. International Journal of Market Research. 63(6). 685–692. 3 indexed citations

Paas, Leonard J., Emiel L. Eijdenberg, & Enno Masurel. (2020). Adoption of services and apps on mobile phones by micro-entrepreneurs in Sub-Saharan Africa. International Journal of Market Research. 63(1). 27–42. 7 indexed citations

Morren, Meike & Leonard J. Paas. (2019). Short and Long Instructional Manipulation Checks: What Do They Measure?. International Journal of Public Opinion Research. 32(4). 790–800. 14 indexed citations

Eijdenberg, Emiel L., Nsubili Isaga, Leonard J. Paas, & Enno Masurel. (2019). Fluid Entrepreneurial Motivations in Tanzania. Journal of African Business. 22(2). 171–189. 7 indexed citations

Paas, Leonard J.. (2019). Marketing research education in the Big Data era. International Journal of Market Research. 61(3). 233–235. 8 indexed citations

Burg, Elco van, et al.. (2017). Corporate social responsibility motivations in Zambian SMEs. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 15(1). 29–62. 14 indexed citations

Burg, Elco van, et al.. (2016). Factors Influencing the Identification of Sustainable Opportunities by SMEs: Empirical Evidence from Zambia. Sustainability. 8(1). 81–81. 56 indexed citations

10.

Eijdenberg, Emiel L., Leonard J. Paas, & Enno Masurel. (2015). The effect of decision-making on the growth of small businesses in an uncertain environment. Academy of Management Proceedings. 2015(1). 10915–10915. 1 indexed citations

11.

Angelis, Luca De & Leonard J. Paas. (2013). A dynamic analysis of stock markets using a hidden Markov model. Journal of Applied Statistics. 40(8). 1682–1700. 24 indexed citations

12.

Paas, Leonard J., et al.. (2013). Moderately thin advertising models are optimal, most of the time: Moderating the quadratic effect of model body size on ad attitude by fashion leadership. Marketing Letters. 25(2). 167–177. 30 indexed citations

13.

Paas, Leonard J., et al.. (2011). Lifecycle effects on consumer financial product portfolios in South Africa: An exploratory analysis of four ethnic groups. Journal of Economic Psychology. 33(1). 8–18. 4 indexed citations

14.

Lee, Carmen, et al.. (2010). A Dynamic Model of Investor Decision-Making. 1 indexed citations

15.

Paas, Leonard J.. (2009). Acquisition pattern analysis for evolutionary database marketing. Service Industries Journal. 29(6). 805–812. 2 indexed citations

16.

Paas, Leonard J., Jeroen K. Vermunt, & Tammo H.A. Bijmolt. (2007). Discrete-time discrete-state latent Markov modelling for assessing and predicting household acquisitions of financial products. Tilburg University Research Portal. 1 indexed citations

17.

Paas, Leonard J., et al.. (2005). Acquisition Pattern Analysis for Relationship Marketing: A Conceptual and Methodological Redefinition. Service Industries Journal. 25(5). 661–673. 7 indexed citations

18.

Paas, Leonard J., et al.. (2001). Acquisition pattern analyses for recognising cross-sell opportunities in the financial services sector. Journal of Targeting Measurement and Analysis for Marketing. 9(3). 230–240. 10 indexed citations

19.

Paas, Leonard J.. (1999). Revenue driven direct mail campaigns. Data Archiving and Networked Services (DANS). 6. 4 indexed citations

20.

Paas, Leonard J., et al.. (1998). Refining RFM-variables using ownership patterns and purchase reasons. Data Archiving and Networked Services (DANS). 5(3). 2 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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