Leman Akoglu
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Advanced Graph Neural Networks
- Imbalanced Data Classification Techniques
- Sentiment Analysis and Opinion Mining
Papers in
-
- Anomaly Detection Techniques and Applications 28
- Advanced Graph Neural Networks 16
- Topic Modeling 11
- Imbalanced Data Classification Techniques 7
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- Complex Network Analysis Techniques 37
- Co-authors
- Hanghang Tong (14 shared papers)Danai Koutra (4 shared papers)Christos Faloutsos (21 shared papers)Tina Eliassi‐Rad (8 shared papers)Emaad Manzoor (3 shared papers)Véronique Van Vlasselaer (5 shared papers)Bart Baesens (5 shared papers)Monique Snoeck (5 shared papers)
- Journals
- Data Mining and Knowledge Discovery (4 papers)ACM Transactions on Knowledge Discovery from Data (4 papers)Future Internet (1 paper)Big Data (1 paper)IEEE Intelligent Systems (1 paper)
- Partner nations
- United StatesBelgiumChina
In The Last Decade
Leman Akoglu
84 papers receiving 3.5k citations
Leman Akoglu's Hit Papers
Peers
Comparison fields: 5 of 119
- Statistical and Nonlinear Physics 1.1k
- Artificial Intelligence 2.5k
- Computer Networks and Communications 1.2k
- Information Systems 1.2k
- Signal Processing 426
Countries citing papers authored by Leman Akoglu
This map shows the geographic impact of Leman Akoglu'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 Leman Akoglu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leman Akoglu more than expected).
Fields of papers citing papers by Leman Akoglu
This network shows the impact of papers produced by Leman Akoglu. 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 Leman Akoglu. The network helps show where Leman Akoglu may publish in the future.
Co-authors
The 25 scholars most cited alongside Leman Akoglu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Graph based anomaly detection and description: a survey Hit paper breakdown → | 2014 | 878 |
| 2 | Collective Opinion Spam Detection Hit paper breakdown → | 2015 | 354 |
| 3 | 2012 | 222 | |
| 4 | 2015 | 211 | |
| 5 | 2016 | 154 | |
| 6 | 2014 | 143 | |
| 7 | 2011 | 134 | |
| 8 | 2016 | 101 | |
| 9 | 2012 | 81 | |
| 10 | 2021 | 78 | |
| 11 | 2012 | 73 | |
| 12 | 2016 | 71 | |
| 13 | 2017 | 62 | |
| 14 | 2015 | 58 | |
| 15 | 2015 | 55 | |
| 16 | 2016 | 52 | |
| 17 | 2018 | 47 | |
| 18 | 2014 | 47 | |
| 19 | 2014 | 44 | |
| 20 | 2009 | 42 |
About Leman Akoglu
Leman Akoglu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 90 papers that have together received 3.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (37 papers), Anomaly Detection Techniques and Applications (28 papers), Network Security and Intrusion Detection (21 papers), Advanced Graph Neural Networks (16 papers), Topic Modeling (11 papers), Spam and Phishing Detection (9 papers), Mobile Crowdsensing and Crowdsourcing (7 papers) and Imbalanced Data Classification Techniques (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Artificial Intelligence (2.5k citations), Computer Networks and Communications (1.2k citations), Information Systems (1.2k citations) and Signal Processing (426 citations). Leman Akoglu has collaborated with scholars based in United States, Belgium and China. Frequent co-authors include Hanghang Tong, Danai Koutra, Christos Faloutsos, Tina Eliassi‐Rad, Emaad Manzoor, Véronique Van Vlasselaer, Bart Baesens, Monique Snoeck, Sadegh M. Milajerdi and Keith Henderson. Their work appears in journals such as Data Mining and Knowledge Discovery, ACM Transactions on Knowledge Discovery from Data, Future Internet, Big Data and IEEE Intelligent Systems.
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.