Bratislav Predić

882 total citations
45 papers, 553 citations indexed

About

Bratislav Predić is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Bratislav Predić has authored 45 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Bratislav Predić's work include Species Distribution and Climate Change (5 papers), Stock Market Forecasting Methods (5 papers) and Fish Ecology and Management Studies (4 papers). Bratislav Predić is often cited by papers focused on Species Distribution and Climate Change (5 papers), Stock Market Forecasting Methods (5 papers) and Fish Ecology and Management Studies (4 papers). Bratislav Predić collaborates with scholars based in Serbia, Canada and South Korea. Bratislav Predić's co-authors include Dragan Stojanović, Aleksandar Milosavljević, Darjan Karabašević, Dragiša Stanujkić, Karl Aberer, Julien Eberle, Zhixian Yan, Muzafer Saračević, Djuradj Milošević and Andrew S. Medeiros and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Bratislav Predić

42 papers receiving 533 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bratislav Predić Serbia 13 119 88 83 80 61 45 553
Dragan Stojanović Serbia 11 72 0.6× 164 1.9× 62 0.7× 118 1.5× 50 0.8× 55 473
Simon Urbanek United States 11 104 0.9× 67 0.8× 105 1.3× 108 1.4× 48 0.8× 28 776
Anahid Basiri United Kingdom 14 80 0.7× 136 1.5× 77 0.9× 54 0.7× 56 0.9× 53 706
Zipei Fan Japan 17 111 0.9× 116 1.3× 173 2.1× 62 0.8× 49 0.8× 65 899
Jukka M. Krisp Germany 13 99 0.8× 134 1.5× 70 0.8× 35 0.4× 33 0.5× 60 831
Cyril Ray France 15 137 1.2× 186 2.1× 188 2.3× 83 1.0× 51 0.8× 56 985
Peter Malík Slovakia 7 92 0.8× 69 0.8× 195 2.3× 80 1.0× 72 1.2× 31 625
Miguel Ángel Manso Callejo Spain 15 89 0.7× 50 0.6× 226 2.7× 68 0.8× 77 1.3× 60 626
Teerayut Horanont Thailand 15 140 1.2× 45 0.5× 85 1.0× 63 0.8× 29 0.5× 59 937
Dharmender Kumar India 14 100 0.8× 41 0.5× 269 3.2× 109 1.4× 94 1.5× 66 832

Countries citing papers authored by Bratislav Predić

Since Specialization
Citations

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

Fields of papers citing papers by Bratislav Predić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bratislav Predić

This figure shows the co-authorship network connecting the top 25 collaborators of Bratislav Predić. A scholar is included among the top collaborators of Bratislav Predić 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 Bratislav Predić. Bratislav Predić 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
1.
Milošević, Djuradj, et al.. (2025). Unsupervised deep clustering as a tool for the identification of dark taxa in biomonitoring. Environmental Monitoring and Assessment. 197(8). 858–858.
2.
Milosavljević, Aleksandar, et al.. (2024). Automated identification of aquatic insects: A case study using deep learning and computer vision techniques. The Science of The Total Environment. 935. 172877–172877. 4 indexed citations
4.
Predić, Bratislav, et al.. (2024). Research Trends in Artificial Intelligence and Security—Bibliometric Analysis. Electronics. 13(12). 2288–2288. 1 indexed citations
5.
Predić, Bratislav, Luka Jovanović, Vladimir Šimić, et al.. (2023). Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization. Complex & Intelligent Systems. 10(2). 2249–2269. 41 indexed citations
6.
Predić, Bratislav, et al.. (2023). Business Purchase Prediction Based on XAI and LSTM Neural Networks. Electronics. 12(21). 4510–4510.
7.
Predić, Bratislav, et al.. (2023). Application of chatbot AI in the creation of web mining programs and their analysis. SHILAP Revista de lepidopterología. 11(3-4). 57–65. 1 indexed citations
8.
Predić, Bratislav, et al.. (2023). Single and Multiple Separate LSTM Neural Networks for Multiple Output Feature Purchase Prediction. Electronics. 12(12). 2616–2616. 4 indexed citations
9.
Rajasekar, Vani, Bratislav Predić, Muzafer Saračević, et al.. (2022). Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm. Scientific Reports. 12(1). 622–622. 61 indexed citations
10.
Milošević, Djuradj, Andrew S. Medeiros, Milica Stojković Piperac, et al.. (2021). The application of Uniform Manifold Approximation and Projection (UMAP) for unconstrained ordination and classification of biological indicators in aquatic ecology. The Science of The Total Environment. 815. 152365–152365. 38 indexed citations
11.
Milosavljević, Aleksandar, et al.. (2021). SPECIES IDENTIFICATION FOR AQUATIC BIOMONITORING USING DEEP RESIDUAL CNN AND TRANSFER LEARNING. 20(1). 1–1. 3 indexed citations
12.
Karabašević, Darjan, Dragiša Stanujkić, Edmundas Kazimieras Zavadskas, et al.. (2020). A Novel Extension of the TOPSIS Method Adapted for the Use of Single-Valued Neutrosophic Sets and Hamming Distance for E-Commerce Development Strategies Selection. Symmetry. 12(8). 1263–1263. 38 indexed citations
13.
Milošević, Djuradj, Aleksandar Milosavljević, Bratislav Predić, et al.. (2019). Application of deep learning in aquatic bioassessment: Towards automated identification of non-biting midges. The Science of The Total Environment. 711. 135160–135160. 37 indexed citations
14.
Predić, Bratislav, et al.. (2018). Improving final grade prediction accuracy in blended learning environment using voting ensembles. Computer Applications in Engineering Education. 26(6). 2294–2306. 10 indexed citations
15.
Predić, Bratislav, et al.. (2017). Association analysis of moodle e‐tests in blended learning educational environment. Computer Applications in Engineering Education. 26(3). 417–430. 12 indexed citations
16.
Predić, Bratislav, et al.. (2014). Dynamic Relocation of Emergency Ambulance Vehicles Using the AVL Component of the GPS/GPRS Tracking System. Acta Polytechnica Hungarica. 11(9). 39–59. 4 indexed citations
17.
Predić, Bratislav, Zhixian Yan, Julien Eberle, Dragan Stojanović, & Karl Aberer. (2013). ExposureSense: Integrating daily activities with air quality using mobile participatory sensing. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 303–305. 82 indexed citations
18.
Predić, Bratislav, et al.. (2008). Online and post-processing of AVL data in public bus transportation system. WSEAS Transactions on Information Science and Applications archive. 5(3). 229–236. 4 indexed citations
19.
Predić, Bratislav, et al.. (2007). Automatic vehicle location in public bus transportation system. Annual Conference on Computers. 675–680. 1 indexed citations
20.
Predić, Bratislav, et al.. (2006). RINGO: block based algorithm for large terrain rendering. International Conference on Signal Processing. 16–20. 1 indexed citations

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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