Ali Tekeoglu

572 citations
38 papers · 398 · h-index 10

Impact in

Papers in

Ali Tekeoglu

36 papers receiving 388 citations

Peers

Ali Tekeoglu
Comparison fields: 5 of 45
  • Signal Processing 235
  • Computer Networks and Communications 293
  • Information Systems 177
  • Artificial Intelligence 154
  • Computer Vision and Pattern Recognition 36
Replace Μάριος Αναγνωστόπουλος with:
Μάριος Αναγνωστόπουλος Greece
Anand Mudgerikar United States
Morteza Safaei Pour United States
Anand Handa India
Xuan Dau Hoang Vietnam
Bazara I. A. Barry Sudan
Afsah Anwar United States
Jianguo Jiang China
Shagufta Mehnaz United States
Kamalakanta Sethi India
Ali Tekeoglu relative to Μάριος Αναγνωστόπουλος Greece Μάριος Αναγνωστόπουλος's profile →
Citations per field
00.5×1.5×1.8×
Μάριος Αναγνωστόπουλος · 1×
Citations per year

Countries citing papers authored by Ali Tekeoglu

Since Specialization
Citations

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

Fields of papers citing papers by Ali Tekeoglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Ali Tekeoglu, 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 Ali Tekeoglu Line = papers co-authored together Ali Tekeoglu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202289
2 201554
3 201944
4 202234
5 201629
6 201914
7 201914
8 201711
9 20149
10 20119
11 20179
12 20197
13 20157
14 20196
15 20186
16 20185
17 20185
18 20185
19 20205
20 20184

About Ali Tekeoglu

Ali Tekeoglu is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Control and Systems Engineering, having authored 38 papers that have together received 398 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Advanced Malware Detection Techniques (12 papers), Blockchain Technology Applications and Security (7 papers), IoT and Edge/Fog Computing (6 papers), Smart Grid Security and Resilience (5 papers), Anomaly Detection Techniques and Applications (4 papers), Distributed systems and fault tolerance (4 papers) and User Authentication and Security Systems (4 papers). The work is most often cited by research in Signal Processing (235 citations), Computer Networks and Communications (293 citations), Information Systems (177 citations), Artificial Intelligence (154 citations) and Computer Vision and Pattern Recognition (36 citations). Ali Tekeoglu has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Ali Şaman Tosun, Arash Habibi Lashkari, Korkut Bekiroglu, Christopher Rouff, Shamik Sengupta, Sherif Abdelwahed, John A. Hamilton, Qian Chen, Stefano Iannucci and Hisham A. Kholidy. Their work appears in journals such as Computer Networks, IEEE Access, Future Internet, Lecture notes in computer science and Lecture notes on data engineering and communications technologies.

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.

Explore authors with similar magnitude of impact