Zora Konjović

65 papers receiving 429 citations

Peers

Zora Konjović
Comparison fields: 5 of 80
  • Artificial Intelligence 176
  • Information Systems 165
  • Management Information Systems 97
  • Computer Vision and Pattern Recognition 71
  • Economics and Econometrics 66
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Citations per year

Countries citing papers authored by Zora Konjović

Since Specialization
Citations

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

Fields of papers citing papers by Zora Konjović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zora Konjović

This figure shows the co-authorship network connecting the top 25 collaborators of Zora Konjović. A scholar is included among the top collaborators of Zora Konjović 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 Zora Konjović. Zora Konjović 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 6
2
Software for an eye tracking device enabling analysis of a student’s interaction with program code
1
3 14
4
Image tagging with an ensemble of deep convolutional neural networks
2
5 1
6 7
7 0
8
Ontological Model of the Standardized Secondary School Curriculum in Informatics
3
9 1
10
Grader: An LTI app for automatic, secure, program validation using the Docker sandbox
0
11 4
12
Multi-label classification experiments with co-training-based algorithm
1
13
Semantic Web Based Architecture for Managing Hardware Heterogeneity in Wireless Sensor Network.
2
14
The implementation of the IMS LD e-course generator
2
15
Extensible Software Simulation System for Imprecise Geospatial Process
2
16 3
17
XML schema-driven GUI forms environment
0
18
CERIS-ST, the Central Europe Road Information System for Security and Tourism A Joint project of the Universities of Novi Sad, Trieste and Verona for Precise Data Acquisition on the Trans-national Road Network and the Extension to the ALADIN Group
1
19
Tuning the Feature Space for Content-Based Music Retrieval
1
20 9

About Zora Konjović

Zora Konjović is a scholar working on Management Information Systems, Computer Science Applications and Information Systems, having authored 79 papers that have together received 463 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Optics and Image Analysis (10 papers) and Access Control and Trust (7 papers). The work is most often cited by research in Management Information Systems (97 citations), Information Systems (165 citations) and Computer Science Applications (37 citations). Zora Konjović has collaborated with scholars based in Serbia, Hungary and United Kingdom. Frequent co-authors include Branko Milosavljević, Aleksandar Kovačević, Dušan Surla, Dragan Ivanović, Goran Sladić, Dragan Miljković, Endre Pap, Milan Vidaković, Imre J. Rudas and Dušanka Obradović. Their work appears in journals such as Fuzzy Sets and Systems, Sustainability and International Journal of Production Research.

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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