Ewelina Lacka
- Sociology and Political Science top 5%
- Marketing top 2%
- Information Systems and Management top 2%
- Management, Monitoring, Policy and Law top 2%
- Strategy and Management top 5%
- Co-authors
- Hing Kai ChanXiaojun WangAlain Yee‐Loong ChongT.C. WongMohamed Yacine HaddoudBoying LiMin ZhangGraeme McLean
- Topics
- Digital Marketing and Social Media (14 papers)Technology Adoption and User Behaviour (5 papers)Consumer Behavior in Brand Consumption and Identification (4 papers)
- Partner nations
- United KingdomChinaHong Kong
In The Last Decade
Ewelina Lacka
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Sociology and Political Science 468
- Marketing 460
- Information Systems and Management 249
- Management, Monitoring, Policy and Law 198
- Strategy and Management 192
Countries citing papers authored by Ewelina Lacka
This map shows the geographic impact of Ewelina Lacka'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 Ewelina Lacka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewelina Lacka more than expected).
Fields of papers citing papers by Ewelina Lacka
This network shows the impact of papers produced by Ewelina Lacka. 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 Ewelina Lacka. The network helps show where Ewelina Lacka may publish in the future.
Co-authorship network of co-authors of Ewelina Lacka
This figure shows the co-authorship network connecting the top 25 collaborators of Ewelina Lacka. A scholar is included among the top collaborators of Ewelina Lacka 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 Ewelina Lacka. Ewelina Lacka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 4 | |
| 5 | 36 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 46 | |
| 9 | 45 | |
| 10 | 116 | |
| 11 | 34 | |
| 12 | 55 | |
| 13 | 133 | |
| 14 | 6 | |
| 15 | 15 | |
| 16 | 99 | |
| 17 | 45 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | Using social media data for operations management research: an example of product development | 1 |
About Ewelina Lacka
Ewelina Lacka is a scholar working on Marketing, Information Systems and Management and Business and International Management, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (14 papers), Technology Adoption and User Behaviour (5 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). The work is most often cited by research in Marketing (460 citations), Information Systems and Management (249 citations) and Management, Monitoring, Policy and Law (198 citations). Ewelina Lacka has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Hing Kai Chan, Xiaojun Wang, Alain Yee‐Loong Chong, T.C. Wong, Mohamed Yacine Haddoud, Boying Li, Min Zhang, Graeme McLean, Rachel W.Y. Yee and Ming K. Lim. Their work appears in journals such as Journal of Marketing, Journal of Cleaner Production and Computers & Education.
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.