Nenad Jukić

767 citations
42 papers · 505 indexed · h-index 12
Topics
Big Data and Business Intelligence (12 papers)Advanced Database Systems and Queries (10 papers)Access Control and Trust (8 papers)

In The Last Decade

Nenad Jukić

37 papers receiving 457 citations

Peers

Nenad Jukić
Comparison fields: 5 of 82
  • Marketing 207
  • Sociology and Political Science 199
  • Management Information Systems 124
  • Information Systems 103
  • Automotive Engineering 91
Replace Shuo Zeng with:
Shuo Zeng United States
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Eimad Abusham Oman
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Citations per field
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Citations per year

Countries citing papers authored by Nenad Jukić

Since Specialization
Citations

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

Fields of papers citing papers by Nenad Jukić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nenad Jukić

This figure shows the co-authorship network connecting the top 25 collaborators of Nenad Jukić. A scholar is included among the top collaborators of Nenad Jukić 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 Nenad Jukić. Nenad Jukić 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
#WorkIndexed citations
1 1
2 51
3 11
4
Design and Implementation of a Data Visualization Course with a Real-World Project Component in an Undergraduate Information Systems Curriculum
4
5 2
6 10
7 5
8
Towards Extracting Detailed Metadata from Academic Research Articles
1
9 0
10
Data Modeling in the Cloud
1
11
Database Systems: Introduction to Databases and Data Warehouses
11
12 1
13
A framework for requirement collection and definition process for data warehousing projects
8
14
Teradata University Network: A No Cost Web-Portal for Teaching Database, Data Warehousing, and Data-Related Subjects.
3
15 26
16
Employing a Multilevel Secure Approach in CRM Systems
2
17 21
18 7
19 3
20
Multilevel secure relational model based on the semantics of all visible information
2

About Nenad Jukić

Nenad Jukić is a scholar working on Management Information Systems, Computer Networks and Communications and Information Systems, having authored 42 papers that have together received 505 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (12 papers), Advanced Database Systems and Queries (10 papers) and Access Control and Trust (8 papers). The work is most often cited by research in Marketing (207 citations), Management Information Systems (124 citations) and Automotive Engineering (91 citations). Nenad Jukić has collaborated with scholars based in United States, Croatia and Greece. Frequent co-authors include Svetlozar Nestorov, Arup Varma, Almir Peštek, Clifford J. Shultz, Susan V. Vrbsky, Abhishek Sharma, Paul Gray, Laurie A. Meamber, John M. Nicholas and Allen Parrish. Their work appears in journals such as Communications of the ACM, Decision Support Systems and Journal of the Association for Information Systems.

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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