Bratislav Predić

45 papers receiving 550 citations

Peers

Bratislav Predić
Comparison fields: 5 of 120
  • Computer Science Applications 53
  • Signal Processing 88
  • Computer Vision and Pattern Recognition 119
  • Transportation 29
  • Ecological Modeling 17
Replace Miguel Ángel Manso Callejo with:
Miguel Ángel Manso Callejo Spain
Morten Goodwin Norway
Xu Wu China
Jibonananda Sanyal United States
Maria Riveiro Sweden
Dragan Stojanović Serbia
Jeffrey Huang Switzerland
Hanan Abdullah Mengash Saudi Arabia
Bratislav Predić relative to Miguel Ángel Manso Callejo Spain Miguel Ángel Manso Callejo's profile →
Citations per field
00.5×4.5×
Miguel Ángel Manso Callejo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Bratislav Predić, 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 Bratislav Predić Line = papers co-authored together Bratislav Predić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201382
2 202261
3 201642
4 202341
5 202140
6 202038
7 201937
8 201525
9 200725
10 200917
11 202216
12 202116
13 201714
14 201713
15 201812
16 202211
17 202011
18 20206
19 20245
20
Developing Context Aware Support in Mobile GIS Framework
20065

About Bratislav Predić

Bratislav Predić is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 45 papers that have together received 567 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (5 papers), Species Distribution and Climate Change (5 papers), Fish Ecology and Management Studies (4 papers), Data Management and Algorithms (4 papers), Air Quality Monitoring and Forecasting (4 papers), Traffic Prediction and Management Techniques (4 papers), Time Series Analysis and Forecasting (4 papers) and Forecasting Techniques and Applications (4 papers). The work is most often cited by research in Computer Science Applications (53 citations), Signal Processing (88 citations), Computer Vision and Pattern Recognition (119 citations), Transportation (29 citations) and Ecological Modeling (17 citations). Bratislav Predić has collaborated with scholars based in Serbia, Canada and South Korea. Frequent co-authors include Dragan Stojanović, Darjan Karabašević, Aleksandar Milosavljević, Dragiša Stanujkić, Zhixian Yan, Karl Aberer, Julien Eberle, Muzafer Saračević, Djuradj Milošević and Andrew S. Medeiros. Their work appears in journals such as Electronics, The Science of The Total Environment, Computer Applications in Engineering Education, Water and Data & Knowledge Engineering.

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.

Explore authors with similar magnitude of impact