Maja Ćukušić

653 total citations
37 papers, 382 citations indexed

About

Maja Ćukušić is a scholar working on Information Systems, Media Technology and Information Systems and Management. According to data from OpenAlex, Maja Ćukušić has authored 37 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Media Technology and 7 papers in Information Systems and Management. Recurrent topics in Maja Ćukušić's work include Technology Adoption and User Behaviour (7 papers), Smart Cities and Technologies (7 papers) and Online and Blended Learning (5 papers). Maja Ćukušić is often cited by papers focused on Technology Adoption and User Behaviour (7 papers), Smart Cities and Technologies (7 papers) and Online and Blended Learning (5 papers). Maja Ćukušić collaborates with scholars based in Croatia, Germany and Slovenia. Maja Ćukušić's co-authors include Andrina Granić, Nikša Alfirević, Rob Walker, Kawa Nazemi, Daniela Garbin Praničević and Mariano Méndez-Suárez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Technological Forecasting and Social Change.

In The Last Decade

Maja Ćukušić

32 papers receiving 343 citations

Peers

Maja Ćukušić
Comparison fields: 5 of 72
  • Education 131
  • Computer Science Applications 92
  • Information Systems 89
  • Media Technology 61
  • Information Systems and Management 49
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Citations per field, relative to Maja Ćukušić
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Countries citing papers authored by Maja Ćukušić

Since Specialization
Citations

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

Fields of papers citing papers by Maja Ćukušić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Ćukušić

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Ćukušić. A scholar is included among the top collaborators of Maja Ćukušić 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 Maja Ćukušić. Maja Ćukušić 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
# Work Indexed citations
1 0
2 9
3 0
4 1
5
Identifying Costs and Benefits of Smart City Applications from End-users' Perspective
1
6 33
7 1
8 12
9
Constructing and testing instruments for measuring students’ perceptions of a university and its smart dimensions
1
10
FACTORS ASSOCIATED WITH STATIC-PRICE ONLINE GROUP BUYING
1
11 5
12 6
13 78
14
Influence of Various Factors on the Intended Use of Mobile Marketing Services
2
15
E-learning: concept and application
1
16
Usability Testing and Expert Inspections Complemented by Educational Evaluation: A Case Study of an e-Learning Platform
51
17
About business intelligence and data mining
1
18
Mining demographic data with decision trees
7
19 7
20
National and School Specifics as a Prerequisite for the Successful Design of an e-Learning System: the UNITE approach
1

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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