Gunnar Mathiason

21 papers receiving 271 citations

Peers

Gunnar Mathiason
Comparison fields: 5 of 85
  • Computational Theory and Mathematics 128
  • Molecular Biology 86
  • Materials Chemistry 84
  • Computer Networks and Communications 48
  • Mechanical Engineering 47
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Countries citing papers authored by Gunnar Mathiason

Since Specialization
Citations

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

Fields of papers citing papers by Gunnar Mathiason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunnar Mathiason

This figure shows the co-authorship network connecting the top 25 collaborators of Gunnar Mathiason. A scholar is included among the top collaborators of Gunnar Mathiason 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 Gunnar Mathiason. Gunnar Mathiason 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 38
2 29
3 136
4 4
5 2
6 3
7 4
8 1
9 4
10
Root-cause localization using Restricted Boltzmann Machines
6
11
Towards Threat Modeling for CPS-based Critical Infrastructure Protection
2
12
Virtual Full Replication for Scalable Distributed Real-Time Databases
26
13 4
14
DeeDS NG : Architecture, Design, and Sample Application Scenario
5
15 6
16
A Simulation Approach for Evaluating Scalability of a Virtually Fully Replicated Real-time Database
1
17
Virtual Full Replication by Static Segmentation for Multiple Properties of Data Objects
6
18
Real-time Communication Through a Distributed Resource Reservation Approach
1
19
Virtual Full Replication: Achieving Scalability in Distributed Real-Time Main-Memory Systems
11
20
Segmentation in a Distributed Real-Time Main-Memory Database
2

About Gunnar Mathiason

Gunnar Mathiason is a scholar working on Computer Networks and Communications, General Social Sciences and Statistical and Nonlinear Physics, having authored 22 papers that have together received 303 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (6 papers), Complex Network Analysis Techniques (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (128 citations), Hardware and Architecture (26 citations) and Health Informatics (3 citations). Gunnar Mathiason has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Niclas Ståhl, Alexander Karlsson, Göran Falkman, Jonas Boström, Sten F. Andler, Juhee Bae, Yurong Li, Tove Helldin, Sang H. Son and Jianguo Ding. Their work appears in journals such as Journal of Chemical Information and Modeling, Applied Mathematical Modelling and Metallurgical and Materials Transactions B.

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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