Vuk Malbaša

443 citations
13 papers · 367 · h-index 9

Impact in

Papers in

Vuk Malbaša

13 papers receiving 355 citations

Peers

Vuk Malbaša
Comparison fields: 5 of 44
  • Safety, Risk, Reliability and Quality 100
  • Control and Systems Engineering 223
  • Electrical and Electronic Engineering 322
  • Energy Engineering and Power Technology 5
  • Statistics, Probability and Uncertainty 7
Replace Marianna Vaiman with:
Marianna Vaiman United States
K. Demaree United States
B. Heilbronn France
Damien Ernst Belgium
Savu C. Savulescu United States
Tingyan Guo United Kingdom
M.L. Gilles United States
J.N. Wrubel United States
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Citations per field
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Citations per year

Countries citing papers authored by Vuk Malbaša

Since Specialization
Citations

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

Fields of papers citing papers by Vuk Malbaša

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Vuk Malbaša, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vuk Malbaša Line = papers co-authored together Vuk Malbaša links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2013118
2 2017111
3 201561
4 201315
5 201413
6 201410
7 20148
8 20128
9 20158
10 20136
11 20145
12
Image tagging with an ensemble of deep convolutional neural networks
20172
13 20162

About Vuk Malbaša

Vuk Malbaša is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Statistical and Nonlinear Physics and Astronomy and Astrophysics, having authored 13 papers that have together received 367 indexed citations. Recurring topics across this work include Power Systems Fault Detection (8 papers), Power System Optimization and Stability (7 papers), Optimal Power Flow Distribution (3 papers), Electrical Fault Detection and Protection (2 papers), Power Transformer Diagnostics and Insulation (2 papers), Islanding Detection in Power Systems (2 papers), Power Quality and Harmonics (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (100 citations), Control and Systems Engineering (223 citations), Electrical and Electronic Engineering (322 citations), Energy Engineering and Power Technology (5 citations) and Statistics, Probability and Uncertainty (7 citations). Vuk Malbaša has collaborated with scholars based in United States, Serbia and Montenegro. Frequent co-authors include Mladen Kezunović, Ce Zheng, Po‐Chen Chen, Tomo Popović, Tatjana Dokic, Zora Konjović and Nikola Milanović. Their work appears in journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, Information Systems and e-Business Management and International Conference on Information Society.

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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