Vladimir Despotović

863 total citations
70 papers, 481 citations indexed

About

Vladimir Despotović is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Vladimir Despotović has authored 70 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 23 papers in Signal Processing and 14 papers in Computational Mechanics. Recurrent topics in Vladimir Despotović's work include Advanced Data Compression Techniques (17 papers), Advanced Adaptive Filtering Techniques (14 papers) and Speech and Audio Processing (12 papers). Vladimir Despotović is often cited by papers focused on Advanced Data Compression Techniques (17 papers), Advanced Adaptive Filtering Techniques (14 papers) and Speech and Audio Processing (12 papers). Vladimir Despotović collaborates with scholars based in Serbia, Luxembourg and United States. Vladimir Despotović's co-authors include Guy Fagherazzi, Zoran Perić, Aurélie Fischer, Tomáš Škovránek, Rupa Patel, Reinhold Haeb‐Umbach, Norbert Goertz, Petr V. Nazarov, Gloria Aguayo and Viša Tasić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and CHEST Journal.

In The Last Decade

Vladimir Despotović

61 papers receiving 455 citations

Peers

Vladimir Despotović
Comparison fields: 5 of 111
  • Artificial Intelligence 126
  • Signal Processing 117
  • Physiology 103
  • Pulmonary and Respiratory Medicine 74
  • Computer Vision and Pattern Recognition 74
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Citations per field, relative to Vladimir Despotović
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Citations per year, relative to Vladimir Despotović
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Countries citing papers authored by Vladimir Despotović

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Despotović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Despotović

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Despotović. A scholar is included among the top collaborators of Vladimir Despotović 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 Vladimir Despotović. Vladimir Despotović 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
# Work Indexed citations
1 1
2 1
3 8
4 14
5 12
6 7
7 9
8 47
9 113
10 1
11 1
12 5
13
Twenty years of monitoring and control of electricity consumption in RTB Bor, Serbia
1
14
Improved non-linear long-term predictors based on Volterra filters
4
15
Reducing the costs of electrical energy in the Copper Mining and Smelting Complex RTB Bor by the use of distributed control system
0
16 4
17 2
18
Shadows on the Walls: Geometric Interpretation of Fractional Integration
5
19
Linearisation Method for Two-dimensional Memoryless Laplass Source
1
20 1

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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