Alisa Devlić

726 citations
26 papers · 507 · 1 hit paper · h-index 9

Impact in

Papers in

Alisa Devlić

24 papers receiving 492 citations

Alisa Devlić's Hit Papers

Outracing champion Gran Turismo drivers with deep reinforcement learning 2022 · 256 citations
2560+1+2Years since publication50100150200250

Peers

Alisa Devlić
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 157
  • Automotive Engineering 86
  • Computer Networks and Communications 154
  • Signal Processing 69
  • Artificial Intelligence 137
Replace Yushi Cheng with:
Yushi Cheng China
Madhushi Verma India
Olaf Henniger Germany
Zuobin Xiong United States
Ángel Manuel Guerrero‐Higueras Spain
Renata Lopes Rosa Brazil
Yue Yang China
Mohammed Bouhorma Morocco
Liuwei Huo China
Cristina Perfecto Spain
Alisa Devlić relative to Yushi Cheng China Yushi Cheng's profile →
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Citations per year

Countries citing papers authored by Alisa Devlić

Since Specialization
Citations

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

Fields of papers citing papers by Alisa Devlić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Outracing champion Gran Turismo drivers with deep reinforcement learning
Hit paper breakdown →
2022256
2 201764
3 201742
4 201218
5 200914
6 201612
7 201512
8 201211
9 200811
10 20058
11
Context retrieval and distribution in a mobile distributed environment
20078
12 20188
13 20128
14 20086
15 20055
16 20085
17
Carrier-grade Network Management Extensions to the SDN Framework
20125
18
Semantic Matchmaking of Advanced Personalized Mobile Services using Intelligent Agents
20043
19
Extending CPL with context ontology
20063
20 20092

About Alisa Devlić

Alisa Devlić is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, Electrical and Electronic Engineering and Information Systems, having authored 26 papers that have together received 507 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), Image and Video Quality Assessment (6 papers), Green IT and Sustainability (4 papers), Bluetooth and Wireless Communication Technologies (4 papers), Video Coding and Compression Technologies (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Caching and Content Delivery (3 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Automotive Engineering (86 citations), Computer Networks and Communications (154 citations), Signal Processing (69 citations) and Artificial Intelligence (137 citations). Alisa Devlić has collaborated with scholars based in Sweden, United States and France. Frequent co-authors include Xavier Corbillon, Gwendal Simon, Jacob Chakareski, Wolfgang John, Pontus Sköldström, A. Consoli, Ali Hamidian, Mats H. Eriksson, Alireza Behrooz and Konrad Tollmar. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Nature, ACM SIGCOMM Computer Communication Review, Lecture notes in computer science and Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications 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.

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