Md. Shamim Talukder

1.9k total citations · 2 hit papers
25 papers, 1.3k citations indexed

About

Md. Shamim Talukder is a scholar working on Information Systems and Management, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Md. Shamim Talukder has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems and Management, 8 papers in Sociology and Political Science and 6 papers in Political Science and International Relations. Recurrent topics in Md. Shamim Talukder's work include Technology Adoption and User Behaviour (16 papers), Digital Marketing and Social Media (8 papers) and E-Government and Public Services (6 papers). Md. Shamim Talukder is often cited by papers focused on Technology Adoption and User Behaviour (16 papers), Digital Marketing and Social Media (8 papers) and E-Government and Public Services (6 papers). Md. Shamim Talukder collaborates with scholars based in Bangladesh, China and Finland. Md. Shamim Talukder's co-authors include Yukun Bao, A.K.M. Najmul Islam, Samuli Laato, Erkki Sutinen, Abul Khayer, Md. Nahin Hossain, Raymond Chiong, Golam Sorwar, Jashim Uddin Ahmed and Liang Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Technological Forecasting and Social Change.

In The Last Decade

Md. Shamim Talukder

22 papers receiving 1.3k 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.

Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective

2020 362 citations A.K.M. Najmul Islam, Samuli Laato et al. Technological Forecasting and Social Change profile →
Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach

2019 220 citations Md. Shamim Talukder, Golam Sorwar et al. Technological Forecasting and Social Change profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Md. Shamim Talukder Bangladesh	15	614	575	234	221	150	25	1.3k
Juliana Sutanto Switzerland	17	805 1.3×	634 1.1×	303 1.3×	121 0.5×	308 2.1×	74	1.5k
Xiaojun Zhang United States	13	525 0.9×	731 1.3×	155 0.7×	166 0.8×	277 1.8×	16	1.5k
Xunhua Guo China	17	478 0.8×	390 0.7×	118 0.5×	161 0.7×	231 1.5×	82	961
Michelle Carter United States	12	541 0.9×	476 0.8×	137 0.6×	255 1.2×	158 1.1×	55	1.4k
Ardion Beldad Netherlands	19	993 1.6×	702 1.2×	442 1.9×	182 0.8×	246 1.6×	42	1.8k
Tracy Ann Sykes United States	21	607 1.0×	688 1.2×	118 0.5×	128 0.6×	305 2.0×	26	1.9k
Eleanor T. Loiacono United States	17	807 1.3×	792 1.4×	384 1.6×	86 0.4×	151 1.0×	55	1.8k
Yu-Min Wang Taiwan	18	394 0.6×	713 1.2×	174 0.7×	187 0.8×	239 1.6×	45	1.8k
Siew Fan Wong Malaysia	19	672 1.1×	608 1.1×	269 1.1×	190 0.9×	94 0.6×	48	1.3k
Hartmut Hoehle United States	18	644 1.0×	716 1.2×	285 1.2×	121 0.5×	102 0.7×	40	1.5k

Countries citing papers authored by Md. Shamim Talukder

Since Specialization

Citations

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

Fields of papers citing papers by Md. Shamim Talukder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Shamim Talukder. 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 Md. Shamim Talukder. The network helps show where Md. Shamim Talukder may publish in the future.

Co-authorship network of co-authors of Md. Shamim Talukder

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Shamim Talukder. A scholar is included among the top collaborators of Md. Shamim Talukder 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 Md. Shamim Talukder. Md. Shamim Talukder 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

Talukder, Md. Shamim, et al.. (2025). Applying the stimulus-organism-behavior-consequence framework to examine the relationship between intention, usage and recommendation of ChatGPT in higher education. International Journal of Educational Management. 39(2). 450–468.

Talukder, Md. Shamim, et al.. (2025). How does limited student engagement in virtual classrooms affect students’ academic performance? A stressor–strain–outcome perspective. On the Horizon The International Journal of Learning Futures. 33(3). 357–377.

Talukder, Md. Shamim, et al.. (2024). The role of online information sources in enhancing circular consumption behaviour: Fostering sustainable consumption patterns in the digital age. Business Strategy and the Environment. 34(1). 1419–1439. 7 indexed citations

Talukder, Md. Shamim, et al.. (2024). Facilitators and inhibitors of attitude and word-of-mouth intention toward adoption of digital municipal service systems: A stimulus-organism-response approach. PLoS ONE. 19(12). e0315009–e0315009.

Talukder, Md. Shamim, et al.. (2024). Who do you choose? Employees' perceptions of artificial intelligence versus humans in performance feedback. SHILAP Revista de lepidopterología. 26(4). 512–532. 2 indexed citations

Talukder, Md. Shamim, et al.. (2022). The role of artificial intelligence in effective business operations during COVID-19. International Journal of Emerging Markets. 18(12). 6368–6387. 21 indexed citations

Talukder, Md. Shamim, et al.. (2022). Positive and negative valences, personal innovativeness and intention to use facial recognition for payments. Industrial Management & Data Systems. 122(4). 1081–1108. 46 indexed citations

Talukder, Md. Shamim, et al.. (2022). The impact of business analytics capabilities on innovation, information quality, agility and firm performance: the moderating role of industry dynamism. VINE Journal of Information and Knowledge Management Systems. 54(5). 1124–1152. 22 indexed citations

Khayer, Abul, Md. Shamim Talukder, Yukun Bao, & Md. Nahin Hossain. (2022). Application-based mobile payment systems: continuance intention and intention to recommend. International Journal of Mobile Communications. 21(1). 19–19. 7 indexed citations

10.

Khayer, Abul, Md. Shamim Talukder, Yukun Bao, & Md. Nahin Hossain. (2021). Application-based mobile payment systems: continuance intention and intention to recommend. International Journal of Mobile Communications. 1(1). 1–1. 2 indexed citations

11.

Talukder, Md. Shamim, Samuli Laato, A.K.M. Najmul Islam, & Yukun Bao. (2021). Continued use intention of wearable health technologies among the elderly: an enablers and inhibitors perspective. Internet Research. 31(5). 1611–1640. 46 indexed citations

12.

Talukder, Md. Shamim, et al.. (2021). Enablers and Inhibitors of E-tax System Use:The Perspective of Dual-Factor Concepts. 12(1). 1–21. 4 indexed citations

13.

Talukder, Md. Shamim, et al.. (2021). Exploring continuance usage intention toward open government data technologies: an integrated approach. VINE Journal of Information and Knowledge Management Systems. 53(4). 785–807. 21 indexed citations

14.

Islam, A.K.M. Najmul, Samuli Laato, Md. Shamim Talukder, & Erkki Sutinen. (2020). Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective. Technological Forecasting and Social Change. 159. 120201–120201. 362 indexed citations breakdown →

15.

Talukder, Md. Shamim, et al.. (2020). Why do citizens use e-tax system?. SHILAP Revista de lepidopterología. 9(7). 177–189. 4 indexed citations

16.

Hossain, Md. Nahin, Md. Shamim Talukder, Abul Khayer, & Yukun Bao. (2020). Investigating the factors driving adult learners' continuous intention to use M-learning application: a fuzzy-set analysis. SHILAP Revista de lepidopterología. 14(2). 245–270. 24 indexed citations

17.

Talukder, Md. Shamim, et al.. (2019). Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach. Technological Forecasting and Social Change. 150. 119793–119793. 220 indexed citations breakdown →

18.

Talukder, Md. Shamim, Raymond Chiong, Sandeep Dhakal, Golam Sorwar, & Yukun Bao. (2019). A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption. Journal of Systems and Information Technology. 21(4). 419–438. 33 indexed citations

19.

Talukder, Md. Shamim, et al.. (2018). Acceptance and use predictors of fitness wearable technology and intention to recommend. Industrial Management & Data Systems. 119(1). 170–188. 171 indexed citations

20.

Talukder, Md. Shamim, et al.. (2014). JOB DISSATISFACTION AND TURNOVER: BANGLADESH PERSPECTIVE. European Journal of Business and Management. 1(2). 117–125. 6 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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