Daniel Gillblad
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Information Systems
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Rebecca SteinertAndreas JohnssonRolf StadlerMihhail MatskinNina Bozic YamsA. PrietoMagnus BomanTheo Kanter
- Topics
- Anomaly Detection Techniques and Applications (8 papers)Complex Network Analysis Techniques (7 papers)Software System Performance and Reliability (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Communications MagazineKnowledge and Information Systems
- Partner nations
- SwedenUnited StatesIsrael
In The Last Decade
Daniel Gillblad
30 papers receiving 214 citations
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 109
- Artificial Intelligence 108
- Information Systems 37
- Electrical and Electronic Engineering 25
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Daniel Gillblad
This map shows the geographic impact of Daniel Gillblad'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 Daniel Gillblad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gillblad more than expected).
Fields of papers citing papers by Daniel Gillblad
This network shows the impact of papers produced by Daniel Gillblad. 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 Daniel Gillblad. The network helps show where Daniel Gillblad may publish in the future.
Co-authorship network of co-authors of Daniel Gillblad
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gillblad. A scholar is included among the top collaborators of Daniel Gillblad 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 Daniel Gillblad. Daniel Gillblad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 21 | |
| 7 | Fault Diagnosis of Heavy Duty Machines : Automatic Transmission Clutches | 8 |
| 8 | 2 | |
| 9 | Autonomous Accident Monitoring Using Cellular Network Data | 1 |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 17 | |
| 15 | 17 | |
| 16 | 7 | |
| 17 | Distributed detection of latency shifts in networks | 1 |
| 18 | An initial approach to distributed adaptive fault-handling in networked systems | 4 |
| 19 | 2 | |
| 20 | 1 |
About Daniel Gillblad
Daniel Gillblad is a scholar working on Computer Networks and Communications, Transportation and Statistical and Nonlinear Physics, having authored 32 papers that have together received 232 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (8 papers), Complex Network Analysis Techniques (7 papers) and Software System Performance and Reliability (7 papers). The work is most often cited by research in Computer Networks and Communications (109 citations), Artificial Intelligence (108 citations) and Management Information Systems (18 citations). Daniel Gillblad has collaborated with scholars based in Sweden, United States and Israel. Frequent co-authors include Rebecca Steinert, Andreas Johnsson, Rolf Stadler, Mihhail Matskin, Nina Bozic Yams, A. Prieto, Magnus Boman, Theo Kanter, Erik Forsell and Bin Xiao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and Knowledge and Information Systems.
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.