Tim Pawlowski

2.1k total citations
68 papers, 1.4k citations indexed

About

Tim Pawlowski is a scholar working on Economics and Econometrics, Sociology and Political Science and Gender Studies. According to data from OpenAlex, Tim Pawlowski has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Economics and Econometrics, 37 papers in Sociology and Political Science and 30 papers in Gender Studies. Recurrent topics in Tim Pawlowski's work include Sports Analytics and Performance (34 papers), Sport and Mega-Event Impacts (30 papers) and Sports, Gender, and Society (28 papers). Tim Pawlowski is often cited by papers focused on Sports Analytics and Performance (34 papers), Sport and Mega-Event Impacts (30 papers) and Sports, Gender, and Society (28 papers). Tim Pawlowski collaborates with scholars based in Germany, United Kingdom and Switzerland. Tim Pawlowski's co-authors include Christoph Breuer, Paul Downward, Pamela Wicker, Simona Rasciute, Dennis Coates, Oliver Budzinski, Michael Lechner, Kirstin Hallmann, Christian Deutscher and Bernd Frick and has published in prestigious journals such as Journal of Sports Sciences, Journal of Economic Behavior & Organization and Structural Equation Modeling A Multidisciplinary Journal.

In The Last Decade

Tim Pawlowski

64 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Pawlowski Germany 19 961 793 716 271 124 68 1.4k
Simon Shibli United Kingdom 22 1.5k 1.6× 591 0.7× 935 1.3× 532 2.0× 80 0.6× 59 2.0k
Marijke Taks Canada 23 1.6k 1.7× 334 0.4× 1.1k 1.5× 779 2.9× 107 0.9× 110 2.0k
Nico Schulenkorf Australia 24 1.7k 1.8× 194 0.2× 1.2k 1.6× 389 1.4× 41 0.3× 76 2.1k
Girish Ramchandani United Kingdom 18 736 0.8× 511 0.6× 568 0.8× 192 0.7× 28 0.2× 52 953
Jeremy S. Jordan United States 21 1.2k 1.2× 148 0.2× 611 0.9× 698 2.6× 52 0.4× 49 1.7k
Paul Widdop United Kingdom 18 704 0.7× 264 0.3× 425 0.6× 92 0.3× 19 0.2× 60 1.0k
Matthew Lamont Australia 24 901 0.9× 301 0.4× 316 0.4× 574 2.1× 121 1.0× 62 1.5k
Lynn L. Ridinger United States 18 1.4k 1.4× 386 0.5× 1.1k 1.5× 523 1.9× 23 0.2× 28 1.8k
Paul De Knop Belgium 25 1.2k 1.2× 400 0.5× 730 1.0× 733 2.7× 17 0.1× 130 2.1k
Jonathan Long United Kingdom 20 964 1.0× 88 0.1× 467 0.7× 254 0.9× 88 0.7× 70 1.3k

Countries citing papers authored by Tim Pawlowski

Since Specialization
Citations

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

Fields of papers citing papers by Tim Pawlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Pawlowski

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

All Works

20 of 20 papers shown
1.
Pawlowski, Tim, et al.. (2024). An Alternative Prior for Estimation in High-Dimensional Settings. Structural Equation Modeling A Multidisciplinary Journal. 31(6). 939–951. 2 indexed citations
2.
Pawlowski, Tim, et al.. (2024). Exploring entertainment utility from football games. Journal of Economic Behavior & Organization. 223. 185–198. 3 indexed citations
3.
Pawlowski, Tim, et al.. (2023). The effects of overseas exhibition games on consumer interest: the case of the English Premier League. European Sport Management Quarterly. 24(6). 1278–1297. 1 indexed citations
4.
Pawlowski, Tim, et al.. (2023). Emotional Cues and the Demand for Televised Sports: Evidence from the UEFA Champions League. Journal of Sports Economics. 24(8). 993–1025. 3 indexed citations
5.
Lechner, Michael, et al.. (2023). Do local expenditures on sports facilities affect sports participation?. Economic Inquiry. 61(4). 1103–1128. 2 indexed citations
6.
Pawlowski, Tim, et al.. (2022). Political relations and sports: exploring the demand for relocated soccer games. European Sport Management Quarterly. 24(1). 159–177. 4 indexed citations
7.
Yang, Yanxiang, Joerg Koenigstorfer, & Tim Pawlowski. (2022). Predicting transfer fees in professional European football before and during COVID-19 using machine learning. European Sport Management Quarterly. 24(3). 603–623. 1 indexed citations
8.
Pawlowski, Tim, et al.. (2022). Substitution Effects and the Transnational Demand for European Soccer Telecasts. Journal of Sports Economics. 24(4). 407–442. 4 indexed citations
9.
Coates, Dennis, et al.. (2021). Decision-making in professional football: an empirical analysis of club members’ voting behaviour. European Sport Management Quarterly. 23(4). 923–941. 3 indexed citations
10.
Pawlowski, Tim, et al.. (2021). Trust in fairness, doping, and the demand for sports: a study on international track and field events. European Sport Management Quarterly. 21(5). 731–747. 7 indexed citations
11.
Deutscher, Christian, et al.. (2020). The impact of live broadcasting on stadium attendance reconsidered: some evidence from 3rd division football in Germany. European Sport Management Quarterly. 22(6). 788–811. 8 indexed citations
12.
Pawlowski, Tim, et al.. (2015). Competition format, championship uncertainty and stadium attendance in European football – a small league perspective. Applied Economics. 47(38). 4128–4139. 54 indexed citations
13.
Coates, Dennis, et al.. (2015). The fans’ perception of competitive balance and its impact on willingness-to-pay for a single game, forthcoming (принята к печати). Journal of Sports Economics. 1 indexed citations
14.
Pawlowski, Tim. (2014). The Causal Effect of Professional Sports on Amateur Sport Participation - an Instrumental Variable Approach. International Journal of Sport Finance. 9(2). 172–188. 9 indexed citations
15.
Pawlowski, Tim, et al.. (2012). The (monetary) value of competitive balance for sport consumers. Common Library Network (Der Gemeinsame Bibliotheksverbund). 13 indexed citations
16.
Pawlowski, Tim & Christoph Breuer. (2011). The Demand for Sports and Recreational Services: Empirical Evidence from Germany. European Sport Management Quarterly. 11(1). 5–34. 22 indexed citations
17.
Pawlowski, Tim. (2010). O istocie badan empirycznych w doskonaleniu konstrukcji i eksploatacji wyrobow techniki rolniczej. 2–7.
18.
Pawlowski, Tim, et al.. (2007). The process of grain relocation with screw conveyors. Teka Komisji Motoryzacji i Energetyki Rolnictwa. 7. 5 indexed citations
19.
Pawlowski, Tim, et al.. (2006). Zastosowanie metod modelowania, symulacji komputerowej i walidacji w procesie wdrażania do produkcji nowych maszyn rolniczych. Agricultural Engineering/Inżynieria Rolnicza. 51–59. 1 indexed citations
20.
Pawlowski, Tim, et al.. (2004). Metoda identyfikacji eksploatacyjnej postaci drgań dla potrzeb weryfikacji i walidacji modeli elementów skończonych maszyn rolniczych. 245–251. 1 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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