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.
Countries citing papers authored by Luvai Motiwalla
Since
Specialization
Citations
This map shows the geographic impact of Luvai Motiwalla'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 Luvai Motiwalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luvai Motiwalla more than expected).
This network shows the impact of papers produced by Luvai Motiwalla. 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 Luvai Motiwalla. The network helps show where Luvai Motiwalla may publish in the future.
Co-authorship network of co-authors of Luvai Motiwalla
This figure shows the co-authorship network connecting the top 25 collaborators of Luvai Motiwalla.
A scholar is included among the top collaborators of Luvai Motiwalla 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 Luvai Motiwalla. Luvai Motiwalla is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Talaei‐Khoei, Amir, Don Kerr, & Luvai Motiwalla. (2018). Lessons learned from using gamification for teaching business informatics to first year undergraduate students. Journal of the Association for Information Systems.3 indexed citations
5.
Albashrawi, Mousa & Luvai Motiwalla. (2016). Adoption of Mobile ERP in Traditional-ERP Organizations: The Effect of Computer Self-Efficacy. Americas Conference on Information Systems.3 indexed citations
Li, Xiao‐Bai, Xiaoping Liu, & Luvai Motiwalla. (2015). Valuation of Personal Information.. International Conference on Information Systems.1 indexed citations
8.
Albashrawi, Mousa & Luvai Motiwalla. (2015). The Moderating Effect of Privacy and Personalization in Mobile Banking: A Structural Equation Modeling Analysis. Journal of the Association for Information Systems.6 indexed citations
Liu, Xiaoping, Xiao‐Bai Li, Luvai Motiwalla, et al.. (2015). Sharing Patient Disease Data with Privacy Preservation.
11.
Motiwalla, Luvai, et al.. (2014). Microlearning mApp to Improve Long Term Health Behaviours: Design and Test of Multi-Channel Service Mix. Journal of the Association for Information Systems. 4.2 indexed citations
12.
Motiwalla, Luvai, et al.. (2014). Privacy Paradox: Does Stated Privacy Concerns Translate into the Valuation of Personal Information?. Pacific Asia Conference on Information Systems. 281.7 indexed citations
Motiwalla, Luvai, et al.. (2012). Mobile Learning with Micro-content: A Framework and Evaluation. Journal of the Association for Information Systems. 2.81 indexed citations
15.
Motiwalla, Luvai, et al.. (2006). Outcome Assessment of Learning Objectives: A Case for using e-Learning Software. Journal of the Association for Information Systems. 257.1 indexed citations
Motiwalla, Luvai, et al.. (1997). For Today’s Dynamic and Changing World, Business Simulations need to be Expanded to Encompass Much Greater Complexity: A Demonstration. Developments in Business Simulation and Experiential Learning. 24.1 indexed citations
20.
Motiwalla, Luvai. (1989). A knowledge-based electronic messaging system : framework, design, prototype development, and validation. UA Campus Repository (The University of Arizona).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.