Tamara Živković
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Nebojša BačaninMiodrag ŽivkovićIvana StrumbergerLuka JovanovićAleksandar PetrovićVladimir ŠimićBoško NikolićMilan Tuba
- Topics
- Software Testing and Debugging Techniques (6 papers)Software System Performance and Reliability (4 papers)Software Reliability and Analysis Research (3 papers)
In The Last Decade
Tamara Živković
18 papers receiving 268 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 117
- Information Systems 76
- Computer Networks and Communications 66
- Electrical and Electronic Engineering 46
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by Tamara Živković
This map shows the geographic impact of Tamara Živković'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 Tamara Živković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Živković more than expected).
Fields of papers citing papers by Tamara Živković
This network shows the impact of papers produced by Tamara Živković. 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 Tamara Živković. The network helps show where Tamara Živković may publish in the future.
Co-authorship network of co-authors of Tamara Živković
This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Živković. A scholar is included among the top collaborators of Tamara Živković 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 Tamara Živković. Tamara Živković is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Two-tier deep and machine learning approach optimized by adaptive multi-population firefly algorithm for software defects predictionbreakdown → | 22 |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 16 | |
| 9 | 20 | |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 48 | |
| 13 | 6 | |
| 14 | 17 | |
| 15 | 29 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 66 | |
| 19 | 1 | |
| 20 | 1 |
About Tamara Živković
Tamara Živković is a scholar working on Software, Architecture and Information Systems, having authored 24 papers that have together received 273 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (6 papers), Software System Performance and Reliability (4 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Software (22 citations), Artificial Intelligence (117 citations) and Information Systems (76 citations). Tamara Živković has collaborated with scholars based in Serbia, India and Taiwan. Frequent co-authors include Nebojša Bačanin, Miodrag Živković, Ivana Strumberger, Luka Jovanović, Aleksandar Petrović, Vladimir Šimić, Boško Nikolić, Milan Tuba, Eva Tuba and Miloš Antonijević. Their work appears in journals such as Scientific Reports, Neurocomputing and Applied Soft Computing.
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.