Jonas Kvarnström

1.3k citations
43 papers · 793 indexed · h-index 16

Impact in

Papers in

Jonas Kvarnström

43 papers receiving 691 citations

Peers

Jonas Kvarnström
Comparison fields: 5 of 55
  • Artificial Intelligence 514
  • Computer Networks and Communications 324
  • Software 50
  • Computer Vision and Pattern Recognition 159
  • Aerospace Engineering 170
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Citations per year

Countries citing papers authored by Jonas Kvarnström

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Kvarnström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Jonas Kvarnström, 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 Jonas Kvarnström Line = papers co-authored together Jonas Kvarnström links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20181
2 20155
3 20148
4 20148
5
Temporal composite actions with constraints
20124
6
Stream-Based Middleware Support for Embedded Reasoning
20101
7 20104
8 201021
9
Planning as Heuristic Search for Incremental Fault Diagnosis and Repair
20097
10 200925
11 200994
12
A temporal logic-based planning and execution monitoring system
20086
13
Bridging the Sense-Reasoning Gap : DyKnow - A Middleware Component for Knowledge Processing
20082
14
TALplanner in the Third International Planning Competition: Extensions and control rules
200321
15 20034
16 20039
17 20025
18 200147
19
Extending TALplanner with concurrency and resources
200025
20
(TAL) temporal action logics : Language specification and tutorial.
199861

About Jonas Kvarnström

Jonas Kvarnström is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 793 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (21 papers), AI-based Problem Solving and Planning (21 papers), Semantic Web and Ontologies (14 papers), Constraint Satisfaction and Optimization (9 papers), Multi-Agent Systems and Negotiation (7 papers), Robotic Path Planning Algorithms (7 papers), Advanced Database Systems and Queries (6 papers) and Formal Methods in Verification (6 papers). The work is most often cited by research in Artificial Intelligence (514 citations), Computer Networks and Communications (324 citations), Software (50 citations), Computer Vision and Pattern Recognition (159 citations) and Aerospace Engineering (170 citations). Jonas Kvarnström has collaborated with scholars based in Sweden and Poland. Frequent co-authors include Patrick Doherty, Fredrik Heintz, Oleg Burdakov, Kaj Holmberg, Mikael Nilsson, Lars Karlsson, Martin Magnusson, Mariusz Wzorek, Patrik Haslum and Alexander Eriksson. Their work appears in journals such as Advanced Engineering Informatics, Journal of Artificial Intelligence Research, Autonomous Agents and Multi-Agent Systems, Unmanned Systems and Artificial Intelligence.

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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