Daniel Gillblad

531 citations
32 papers · 232 · h-index 9

Impact in

    • Software System Performance and Reliability
    • Network Security and Intrusion Detection
    • Network Traffic and Congestion Control
    • Software-Defined Networks and 5G
    • Anomaly Detection Techniques and Applications
    • Data Stream Mining Techniques

Papers in

Daniel Gillblad

30 papers receiving 214 citations

Peers

Daniel Gillblad
Comparison fields: 5 of 47
  • Computer Networks and Communications 109
  • Artificial Intelligence 108
  • Management Information Systems 18
  • Applied Psychology 10
  • Transportation 13
Replace Dmitry Mouromtsev with:
Dmitry Mouromtsev Russia
Michele Piunti Italy
Hassan Badir Morocco
Yanghoon Kim South Korea
Afsaneh Fatemi Iran
Yanchun Sun China
Marko Luther Germany
Yasuyuki Tahara Japan
Amelia Bădică Romania
Kun Chao China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Gillblad

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201523
2 202022
3 201521
4 201521
5 201117
6 201017
7 201914
8 201714
9 20169
10
Fault Diagnosis of Heavy Duty Machines : Automatic Transmission Clutches
20148
11 20107
12 20156
13 20096
14 20115
15
An initial approach to distributed adaptive fault-handling in networked systems
20094
16 20154
17 20084
18 20123
19 20233
20 20133

About Daniel Gillblad

Daniel Gillblad is a scholar working on Computer Networks and Communications, Artificial Intelligence, Statistical and Nonlinear Physics, Transportation and Electrical and Electronic Engineering, 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), Software System Performance and Reliability (7 papers), Network Security and Intrusion Detection (5 papers), Data Stream Mining Techniques (4 papers), Human Mobility and Location-Based Analysis (4 papers), Fault Detection and Control Systems (3 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Computer Networks and Communications (109 citations), Artificial Intelligence (108 citations), Management Information Systems (18 citations), Applied Psychology (10 citations) and Transportation (13 citations). Daniel Gillblad has collaborated with scholars based in Sweden, United States and Czechia. Frequent co-authors include Rebecca Steinert, Andreas Johnsson, Rolf Stadler, Mihhail Matskin, A. Prieto, Nina Bozic Yams, Magnus Boman, Erik Forsell, Rahim Rahmani and Andrea Hess. Their work appears in journals such as IEEE Communications Magazine, Knowledge and Information Systems, International Journal of Network Management, Progress in Artificial Intelligence and SHILAP Revista de lepidopterología.

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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