Michael Schukat

1.2k citations
64 papers · 694 · h-index 15

Impact in

Papers in

Michael Schukat

61 papers receiving 662 citations

Peers

Michael Schukat
Comparison fields: 5 of 95
  • Computer Networks and Communications 311
  • Signal Processing 95
  • Building and Construction 106
  • Control and Systems Engineering 117
  • Information Systems 107
Replace Fadi Al‐Turjman with:
Fadi Al‐Turjman Türkiye
Yijie Xun China
Hongsheng Lu United States
Khattab M. Ali Alheeti Iraq
Rami J. Haddad United States
Benedikt Ostermaier Switzerland
Wooseong Kim South Korea
Hon Cheung Australia
Mohib Ullah Khan Pakistan
Harun Jamil South Korea
Michael Schukat relative to Fadi Al‐Turjman Türkiye Fadi Al‐Turjman's profile →
Citations per field
00.5×2.6×
Fadi Al‐Turjman · 1×
Citations per year

Countries citing papers authored by Michael Schukat

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schukat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020140
2 201744
3 201641
4 202136
5 202027
6 201525
7 201823
8 202122
9 201021
10 202019
11 201817
12 202016
13 201415
14 201814
15
Arrhythmia Identification from ECG Signals with a Neural Network Classifier Based on a Bayesian Framework
200414
16 202113
17 202012
18 201712
19 201811
20 202011

About Michael Schukat

Michael Schukat is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 694 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (10 papers), Cognitive Radio Networks and Spectrum Sensing (9 papers), Network Time Synchronization Technologies (8 papers), Advanced MIMO Systems Optimization (6 papers), Wireless Networks and Protocols (5 papers), Distributed Sensor Networks and Detection Algorithms (4 papers) and Smart Grid Security and Resilience (4 papers). The work is most often cited by research in Computer Networks and Communications (311 citations), Signal Processing (95 citations), Building and Construction (106 citations), Control and Systems Engineering (117 citations) and Information Systems (107 citations). Michael Schukat has collaborated with scholars based in Ireland, Bangladesh and Australia. Frequent co-authors include Enda Barrett, Marcus Keane, Hugh Melvin, Michael McMahon, Mohammad Amzad Hossain, Edmond Holohan, Md Sipon Miah, Peter Corcoran, Stephen J. Redmond and G. Schreier. Their work appears in journals such as IEEE Access, Electronics, Data in Brief, Computer Communications and Neural Networks.

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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