Leman Akoglu

8.5k total citations · 2 hit papers
90 papers, 3.7k citations indexed

About

Leman Akoglu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Leman Akoglu has authored 90 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 37 papers in Statistical and Nonlinear Physics and 26 papers in Information Systems. Recurrent topics in Leman Akoglu's work include Complex Network Analysis Techniques (37 papers), Anomaly Detection Techniques and Applications (28 papers) and Network Security and Intrusion Detection (21 papers). Leman Akoglu is often cited by papers focused on Complex Network Analysis Techniques (37 papers), Anomaly Detection Techniques and Applications (28 papers) and Network Security and Intrusion Detection (21 papers). Leman Akoglu collaborates with scholars based in United States, Belgium and China. Leman Akoglu's co-authors include Hanghang Tong, Danai Koutra, Christos Faloutsos, Tina Eliassi‐Rad, Emaad Manzoor, Véronique Van Vlasselaer, Monique Snoeck, Bart Baesens, Sadegh M. Milajerdi and Keith Henderson and has published in prestigious journals such as Management Science, Information Sciences and Decision Support Systems.

In The Last Decade

Leman Akoglu

84 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Graph based anomaly detection and description: a survey

2014 878 citations Leman Akoglu, Hanghang Tong et al. profile →
Collective Opinion Spam Detection

2015 354 citations Leman Akoglu et al. profile →

Peers

Countries citing papers authored by Leman Akoglu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Leman Akoglu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Fast Unsupervised Deep Outlier Model Selection with Hypernetworks 2024 ·(unknown), Yue Zhao, Leman Akoglu	2
2	Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors 2024 ·Proceedings of the AAAI/ACM Conference on AI Ethics and Society ·(unknown), Rui Xi, Leman Akoglu	0
3	Density of states for fast embedding node-attributed graphs 2023 ·Knowledge and Information Systems ·Lingxiao Zhao, (unknown), Leman Akoglu	0
4	ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach 2023 ·Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu	1
5	Benefit-aware early prediction of health outcomes on multivariate EEG time series 2023 ·Journal of Biomedical Informatics ·(unknown), (unknown), Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu	6
6	19th International Workshop on Mining and Learning with Graphs (MLG) 2023 ·Neil Shah, Shobeir Fakhraei, Da Zheng, (unknown), Leman Akoglu	0
7	Toward Unsupervised Outlier Model Selection 2022 ·Yue Zhao, Sean X. Zhang, Leman Akoglu	5
8	GAWD 2021 ·(unknown), Hung T. Nguyen, (unknown), Vincent S. Tseng, Leman Akoglu	6
9	Automatic Unsupervised Outlier Model Selection 2021 ·Neural Information Processing Systems ·Yue Zhao, Ryan A. Rossi, Leman Akoglu	22
10	On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights 2021 ·Big Data ·Lingxiao Zhao, Leman Akoglu	24
11	ODD: Outlier Detection and Description 2021 ·Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta	1
12	Generalizing Graph Neural Networks Beyond Homophily. 2020 ·arXiv (Cornell University) ·Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra	3
13	PairNorm: Tackling Oversmoothing in GNNs 2020 ·arXiv (Cornell University) ·Lingxiao Zhao, Leman Akoglu	35
14	SUOD: A Scalable Unsupervised Outlier Detection Framework 2020 ·arXiv (Cornell University) ·Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu	2
15	Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection 2019 ·arXiv (Cornell University) ·(unknown), Leman Akoglu, Alessandro Rinaldo	6
16	Advances in Data Science 2018 ·Communications in computer and information science ·(unknown), Leman Akoglu, Emilio Ferrara, (unknown), Ricardo Baeza‐Yates, (unknown)	3
17	Min(e)d your tags: analysis of question response time in stackoverflow 2014 ·(unknown), (unknown), (unknown), (unknown), Leman Akoglu	27
18	Joint voting prediction for questions and answers in CQA 2014 ·Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lü	8
19	Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description 2013 ·Knowledge Discovery and Data Mining ·Leman Akoglu, Emmanuel Müller, Jilles Vreeken	17
20	Fast and reliable anomaly detection in categorical data 2012 ·Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos	81

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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