Ivan V. Bajić

4.4k total citations
174 papers, 2.9k citations indexed

About

Ivan V. Bajić is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ivan V. Bajić has authored 174 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Computer Vision and Pattern Recognition, 63 papers in Signal Processing and 24 papers in Artificial Intelligence. Recurrent topics in Ivan V. Bajić's work include Video Coding and Compression Technologies (49 papers), Image and Video Quality Assessment (41 papers) and Advanced Vision and Imaging (39 papers). Ivan V. Bajić is often cited by papers focused on Video Coding and Compression Technologies (49 papers), Image and Video Quality Assessment (41 papers) and Advanced Vision and Imaging (39 papers). Ivan V. Bajić collaborates with scholars based in Canada, United States and China. Ivan V. Bajić's co-authors include Stephen Makonin, Hadi Hadizadeh, Fred Popowich, Bob Gill, Lyn Bartram, Hyomin Choi, Chinthaka Dinesh, Gene Cheung, John W. Woods and Yufeng Shan and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Ivan V. Bajić

168 papers receiving 2.8k citations

Peers

Ivan V. Bajić
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 1.5k
  • Electrical and Electronic Engineering 1.0k
  • Signal Processing 596
  • Building and Construction 416
  • Artificial Intelligence 316
Replace Anthony Rowe with:
Anthony Rowe United States
Mohamed Atri Tunisia
Ashish Pandharipande Netherlands
Takao Onoye Japan
Pedro U. Lima Portugal
Carlo Fischione Sweden
Chaoyun Zhang China
Marco Levorato United States
Muhammad Tariq Pakistan
Dongliang Xie China
Anthony Rowe United States View profile →
Citations per field, relative to Ivan V. Bajić
Ivan V. Bajić · 1×
Citations per year, relative to Ivan V. Bajić
Ivan V. Bajić · 1×

Countries citing papers authored by Ivan V. Bajić

Since Specialization
Citations

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

Fields of papers citing papers by Ivan V. Bajić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan V. Bajić. 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 Ivan V. Bajić. The network helps show where Ivan V. Bajić may publish in the future.

Co-authorship network of co-authors of Ivan V. Bajić

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan V. Bajić. A scholar is included among the top collaborators of Ivan V. Bajić 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 Ivan V. Bajić. Ivan V. Bajić 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 6
2 1
3 2
4 3
5 2
6 1
7 95
8 72
9 38
10 5
11 14
12 17
13 2
14 206
15 19
16 18
17 3
18 11
19 7
20
Robust Transmission of Packet Video Through Dispersive Packetization and Error Concealment
3

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

Rankless by CCL
2026