Jacob Chakareski

141 papers receiving 2.1k citations

Hit Papers

A review of AI-enabled routing protocols for UAV networks...202220262023202420224080120

Peers

Jacob Chakareski
Comparison fields: 5 of 95
  • Computer Networks and Communications 1.1k
  • Computer Vision and Pattern Recognition 1.0k
  • Signal Processing 792
  • Electrical and Electronic Engineering 782
  • Aerospace Engineering 303
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Rittwik Jana United States
Prashant Krishnamurthy United States
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Citations per field
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Citations per year

Countries citing papers authored by Jacob Chakareski

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Chakareski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Chakareski

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Chakareski. A scholar is included among the top collaborators of Jacob Chakareski 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 Jacob Chakareski. Jacob Chakareski 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
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 5
6 0
7 4
8 4
9 40
10 3
11 4
12 35
13
On Measuring Test Quality in Scrum: An Empirical Study.
2
14 39
15 30
16 7
17 6
18
Rate-Distortion Optimized Bandwidth Adaptation for Distributed Media Delivery [invited paper]
2
19
R-D Hint Tracks for Low-Complexity R-D Optimized Video Streaming
16
20
Advances in Network-adaptive Video Streaming
17

About Jacob Chakareski

Jacob Chakareski is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 153 papers that have together received 2.2k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (65 papers), Video Coding and Compression Technologies (64 papers) and Advanced Wireless Network Optimization (32 papers). The work is most often cited by research in Signal Processing (792 citations), Computer Vision and Pattern Recognition (1.0k citations) and Computer Networks and Communications (1.1k citations). Jacob Chakareski has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Pascal Frossard, Bernd Girod, Philip A. Chou, Fatemeh Afghah, Abolfazl Razi, SangEun Han, Tonmoy Ghosh, Vladan Velisavljević, Liang Zhang and J Apostolopoulos. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Communications Magazine and IEEE Transactions on Communications.

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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