Seyit Camtepe

7.0k citations
119 papers · 3.7k indexed · 4 hit papers · h-index 31

Impact in

Papers in

Seyit Camtepe

110 papers receiving 3.5k citations

Hit Papers

LSTM-Autoencoder-Based Anomaly Detection for Indoor Air Quality Time-Series Data 2023 · 125 citations
1252010202620152020100200300

Peers

Seyit Camtepe
Comparison fields: 5 of 126
  • Signal Processing 1.1k
  • Software 333
  • Computer Networks and Communications 1.9k
  • Artificial Intelligence 1.6k
  • Health Informatics 60
Replace Sheng Wen with:
Sheng Wen Australia
Haojin Zhu China
Z. Berkay Celik United States
Matt Fredrikson United States
Wenliang Du United States
Aziz Mohaisen United States
Lei Ma Japan
Asaf Shabtai Israel
Battista Biggio Italy
Nicolas Papernot United States
Seyit Camtepe relative to Sheng Wen Australia Sheng Wen's profile →
Citations per field
00.5×
Sheng Wen · 1×
Citations per year

Countries citing papers authored by Seyit Camtepe

Since Specialization
Citations

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

Fields of papers citing papers by Seyit Camtepe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20253
5 202422
6 20241
7 20243
8 20231
9 20234
10 20231
11 20234
12
LSTM-Autoencoder-Based Anomaly Detection for Indoor Air Quality Time-Series Data
Hit paper breakdown →
2023125
13 20237
14 202222
15 202134
16 20211
17 202089
18 20207
19 2020175
20 20092

About Seyit Camtepe

Seyit Camtepe is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Software and Health Informatics, having authored 119 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (45 papers), Network Security and Intrusion Detection (37 papers), Adversarial Robustness in Machine Learning (15 papers), Privacy-Preserving Technologies in Data (11 papers), User Authentication and Security Systems (10 papers), Smart Grid Security and Resilience (9 papers), Anomaly Detection Techniques and Applications (9 papers) and Internet Traffic Analysis and Secure E-voting (9 papers). The work is most often cited by research in Signal Processing (1.1k citations), Software (333 citations), Computer Networks and Communications (1.9k citations), Artificial Intelligence (1.6k citations) and Health Informatics (60 citations). Seyit Camtepe has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Chandra Thapa, M.A.P. Chamikara, Bülent Yener, Şahin Albayrak, Ibrahim Khalil, Péter Bertök, Aubrey-Derrick Schmidt, Lichao Sun, Ernest Foo and D. Liu. Their work appears in journals such as Computers & Security, IEEE Transactions on Industrial Informatics, IEEE Transactions on Dependable and Secure Computing, Computer Communications and IEEE Access.

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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