Yazan Otoum

738 citations
17 papers · 488 indexed · 1 hit paper · h-index 10
Topics
Network Security and Intrusion Detection (12 papers)Advanced Malware Detection Techniques (7 papers)Privacy-Preserving Technologies in Data (5 papers)
Partner nations
CanadaUnited StatesIndia

In The Last Decade

Yazan Otoum

15 papers receiving 469 citations

Hit Papers

DL‐IDS: a deep learning–based intrusion detection framewo...2019202620212023201950100150200

Peers

Yazan Otoum
Comparison fields: 5 of 45
  • Computer Networks and Communications 401
  • Artificial Intelligence 297
  • Signal Processing 227
  • Information Systems 67
  • Electrical and Electronic Engineering 50
Replace İlhan Fırat Kılınçer with:
İlhan Fırat Kılınçer Türkiye
Abhinav Bhandari India
Chunhua Wu China
Hadeel Alazzam Jordan
Kamal Al‐Sabahi China
Shamsher Ullah China
Syed Ghazanfar Abbas Pakistan
Harry Chandra Tanuwidjaja South Korea
Ly Vu Vietnam
Anni Peng China
Yazan Otoum relative to İlhan Fırat Kılınçer Türkiye İlhan Fırat Kılınçer's profile →
Citations per field
00.5×1.5×2.4×
İlhan Fırat Kılınçer · 1×
Citations per year

Countries citing papers authored by Yazan Otoum

Since Specialization
Citations

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

Fields of papers citing papers by Yazan Otoum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yazan Otoum

This figure shows the co-authorship network connecting the top 25 collaborators of Yazan Otoum. A scholar is included among the top collaborators of Yazan Otoum 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 Yazan Otoum. Yazan Otoum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 1
6 3
7 11
8 22
9 5
10 20
11 24
12 10
13 110
14 13
15 29
16 9
17
DL‐IDS: a deep learning–based intrusion detection framework for securing IoTbreakdown →
229

About Yazan Otoum

Yazan Otoum is a scholar working on Health Informatics, Signal Processing and Computer Networks and Communications, having authored 17 papers that have together received 488 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Advanced Malware Detection Techniques (7 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Signal Processing (227 citations), Computer Networks and Communications (401 citations) and Artificial Intelligence (297 citations). Yazan Otoum has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Amiya Nayak, Dandan Liu, Vinay Chamola, Neeraj Kumar, Aris Leivadeas and Syed Muhammad Danish. Their work appears in journals such as ACM Computing Surveys, Future Internet and IEEE Transactions on Network Science and Engineering.

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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