Michael Adu Kwarteng

475 total citations
26 papers, 280 citations indexed

About

Michael Adu Kwarteng is a scholar working on Marketing, Information Systems and Management and Sociology and Political Science. According to data from OpenAlex, Michael Adu Kwarteng has authored 26 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Marketing, 9 papers in Information Systems and Management and 8 papers in Sociology and Political Science. Recurrent topics in Michael Adu Kwarteng's work include Technology Adoption and User Behaviour (9 papers), Digital Marketing and Social Media (6 papers) and Consumer Market Behavior and Pricing (4 papers). Michael Adu Kwarteng is often cited by papers focused on Technology Adoption and User Behaviour (9 papers), Digital Marketing and Social Media (6 papers) and Consumer Market Behavior and Pricing (4 papers). Michael Adu Kwarteng collaborates with scholars based in Czechia, South Africa and Morocco. Michael Adu Kwarteng's co-authors include Abdul Bashiru Jibril, Miloslava Chоvancοva, Elsamari Botha, Felicita Chromjaková, Damien Trentesaux, Christian Nedu Osakwe, Zuzana Komínková Oplatková, Islam Elgammal, Oluwatobi A. Ogunmokun and Eric Afful-Dadzie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technological Forecasting and Social Change and Sustainability.

In The Last Decade

Michael Adu Kwarteng

23 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Adu Kwarteng Czechia 10 127 99 85 42 36 26 280
Marvello Yang Malaysia 7 92 0.7× 145 1.5× 112 1.3× 32 0.8× 64 1.8× 17 324
Gabriel Ayodeji Ogunmola India 9 65 0.5× 71 0.7× 69 0.8× 23 0.5× 31 0.9× 36 296
Kit Yeng Sin Malaysia 9 80 0.6× 74 0.7× 53 0.6× 38 0.9× 64 1.8× 32 268
Elikem Chosniel Ocloo Ghana 9 66 0.5× 70 0.7× 41 0.5× 57 1.4× 23 0.6× 27 274
Hardik Bhimani Australia 3 136 1.1× 63 0.6× 47 0.6× 22 0.5× 19 0.5× 4 267
Agus Rahayu Indonesia 10 122 1.0× 44 0.4× 82 1.0× 34 0.8× 33 0.9× 131 349
Sayyed Khawar Abbas Pakistan 9 89 0.7× 66 0.7× 44 0.5× 46 1.1× 20 0.6× 25 277
Supaprawat Siripipatthanakul Thailand 9 71 0.6× 41 0.4× 56 0.7× 24 0.6× 25 0.7× 43 222
Abdullah Kammani Saudi Arabia 6 107 0.8× 216 2.2× 52 0.6× 43 1.0× 57 1.6× 12 290
Marjeta Marolt Slovenia 9 87 0.7× 70 0.7× 52 0.6× 29 0.7× 28 0.8× 18 261

Countries citing papers authored by Michael Adu Kwarteng

Since Specialization
Citations

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

Fields of papers citing papers by Michael Adu Kwarteng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Adu Kwarteng. 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 Michael Adu Kwarteng. The network helps show where Michael Adu Kwarteng may publish in the future.

Co-authorship network of co-authors of Michael Adu Kwarteng

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Adu Kwarteng. A scholar is included among the top collaborators of Michael Adu Kwarteng 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 Michael Adu Kwarteng. Michael Adu Kwarteng 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.
Ogunmokun, Oluwatobi A., et al.. (2024). Individuals' attitudes and their adoption intentions of central bank digital currency: Combining theories and analytics for deeper insights. Technological Forecasting and Social Change. 210. 123857–123857. 6 indexed citations
2.
Afful-Dadzie, Eric, et al.. (2022). A Conceptual Framework for Integrating TPB With Context-Relevant Variables to Predict e-Learning Success During the Covid -19 Pandemic. Pure (University of Bath). 21(1). 365–372. 1 indexed citations
3.
Kwarteng, Michael Adu, et al.. (2022). Cultural influences on future transportation technology usage: The role of personal innovativeness, technology anxiety and desire. International Journal of Consumer Studies. 47(2). 629–651. 16 indexed citations
4.
Jibril, Abdul Bashiru, et al.. (2021). Decision science: a multi-criteria decision framework for enhancing an electoral voting system. Systems Science & Control Engineering. 9(1). 556–569. 1 indexed citations
5.
Kwarteng, Michael Adu, et al.. (2020). The prospects of Internet-Based Channel Orientation for the competitiveness of service companies on the domestic market. International Journal of Information Management. 58. 102223–102223. 16 indexed citations
6.
Jibril, Abdul Bashiru, et al.. (2020). The impact of online identity theft on customers’ willingness to engage in e-banking transaction in Ghana: A technology threat avoidance theory. Cogent Business & Management. 7(1). 1832825–1832825. 25 indexed citations
7.
Jibril, Abdul Bashiru, et al.. (2019). The role of the social media brand community on consumers' purchasing attitude. Repository of TBU publications (Univerzita Tomase Bati ze Zline). 5 indexed citations
8.
Jibril, Abdul Bashiru, et al.. (2019). A review of social media posts from UniCredit bank in Europe. 74–79. 15 indexed citations
9.
10.
Jibril, Abdul Bashiru, et al.. (2019). Association rule mining approach: evaluating pre-purchase risk intentions in the online second-hand goods market. Oeconomia Copernicana. 10(4). 669–688. 8 indexed citations
11.
Jibril, Abdul Bashiru, et al.. (2019). The Influence of Selected Factors on the Use of Herbal Products. Journal of Competitiveness. 11(4). 57–72. 7 indexed citations
12.
Jibril, Abdul Bashiru, Michael Adu Kwarteng, & Miloslava Chоvancοva. (2019). A demographic analysis of consumers’ preference for green products. 4 indexed citations
13.
Kwarteng, Michael Adu, et al.. (2019). Assessing pre-purchase risk attributes towards used-products. 4. 15–20.
14.
Kwarteng, Michael Adu, et al.. (2019). Efficiency measurement of national innovation systems of the European Union countries: DEA model application. JOURNAL OF INTERNATIONAL STUDIES. 12(4). 286–299. 19 indexed citations
15.
Jibril, Abdul Bashiru, et al.. (2019). The impact of social media on consumer-brand loyalty: A mediating role of online based-brand community. Cogent Business & Management. 6(1). 61 indexed citations
16.
Kwarteng, Michael Adu, et al.. (2018). Beyond cost saving. Other factor consideration in online purchases of used electronic goods: a conjoint analysis approach. Management & Marketing. 13(3). 1051–1063. 9 indexed citations
17.
Kwarteng, Michael Adu, et al.. (2018). Mining Interest In Online Shoppers’ Data: An Association Rule Mining Approach. Acta Polytechnica Hungarica. 14(7). 3 indexed citations
18.
Kwarteng, Michael Adu, et al.. (2017). On-line shopping behaviour in the Czech Republic under the digital transformation of economy. Economic Annals-ХХI. 165(5-6). 119–123. 8 indexed citations
19.
Owusu, E. O., et al.. (2016). Phytochemical investigation and thin layer chromatography of methanolic extracts of some selected grain legumes. Journal of Pharmacognosy and Phytochemistry. 5(3). 240–244. 2 indexed citations
20.
Kwarteng, Michael Adu, et al.. (2016). Exploring Consumers’ Propensity For Online Shopping In A Developing Country: A Demographic Perspective. SHILAP Revista de lepidopterología. 4(1). 4 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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