Resul Daş

3.9k citations
109 papers · 2.8k · 4 hit papers · h-index 22

Impact in

Papers in

Resul Daş

94 papers receiving 2.6k citations

Resul Daş's Hit Papers

A comparative analysis of various machine learning methods for anomaly detection in cyber attacks on IoT networks 2024 · 86 citations
860+6+12Years since publication100200300400500

Peers

Resul Daş
Comparison fields: 5 of 145
  • Health Information Management 606
  • Signal Processing 414
  • Medical Laboratory Technology 48
  • Computer Networks and Communications 809
  • Information Systems 650
Replace Liaqat Ali with:
Liaqat Ali Pakistan
Mohd Khanapi Abd Ghani Malaysia
Aditya Khamparia India
Amin Ul Haq China
Noorbakhsh Amiri Golilarz China
Umesh Kumar Lilhore India
Chiranji Lal Chowdhary India
Shijie Zhou China
Neelu Khare India
Muhammad Rizwan Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by Resul Daş

Since Specialization
Citations

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

Fields of papers citing papers by Resul Daş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cyber-security on smart grid: Threats and potential solutions
Hit paper breakdown →
2020528
2
Effective diagnosis of heart disease through neural networks ensembles
Hit paper breakdown →
2008508
3 2009341
4 2016125
5
A review on fog computing: Issues, characteristics, challenges, and potential applications
Hit paper breakdown →
2023112
6 2008102
7 202286
8
A comparative analysis of various machine learning methods for anomaly detection in cyber attacks on IoT networks
Hit paper breakdown →
202486
9 201883
10 201879
11 200971
12 200855
13
Analysis of cyber-attacks in IoT-based critical infrastructures
202038
14 202329
15 202425
16 201525
17 201724
18 202423
19 201822
20 201722

About Resul Daş

Resul Daş is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Control and Systems Engineering, having authored 109 papers that have together received 2.8k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (30 papers), Advanced Malware Detection Techniques (22 papers), Smart Grid Security and Resilience (18 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Anomaly Detection Techniques and Applications (7 papers), IoT and Edge/Fog Computing (6 papers), Complex Network Analysis Techniques (6 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Health Information Management (606 citations), Signal Processing (414 citations), Medical Laboratory Technology (48 citations), Computer Networks and Communications (809 citations) and Information Systems (650 citations). Resul Daş has collaborated with scholars based in Türkiye, Spain and Iran. Frequent co-authors include Muhammed Zekeriya Gündüz, İbrahim Türkoğlu, Abdulkadir Şengür, Muhammet Baykara, Gürkan Tuna, I‐Hsien Ting, Moloud Abdar, Mariam Zomorodi‐Moghadam, Bihter Daş and Talha Burak Alakuş. Their work appears in journals such as Expert Systems with Applications, Chemometrics and Intelligent Laboratory Systems, Computer Networks, Information Fusion and Internet of Things.

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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