Tolga Ergen

753 total citations · 1 hit paper
14 papers, 443 citations indexed

About

Tolga Ergen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tolga Ergen has authored 14 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tolga Ergen's work include Neural Networks and Applications (6 papers), Machine Learning and ELM (5 papers) and Stochastic Gradient Optimization Techniques (4 papers). Tolga Ergen is often cited by papers focused on Neural Networks and Applications (6 papers), Machine Learning and ELM (5 papers) and Stochastic Gradient Optimization Techniques (4 papers). Tolga Ergen collaborates with scholars based in United States and Türkiye. Tolga Ergen's co-authors include Süleyman S. Kozat, Mert Pilancı and Muhammed O. Sayin and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Neural Networks and Learning Systems and Signal Processing.

In The Last Decade

Tolga Ergen

13 papers receiving 429 citations

Hit Papers

Unsupervised Anomaly Detection With LSTM Neural Networks 2019 2026 2021 2023 2019 50 100 150 200
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.

  1. Unsupervised Anomaly Detection With LSTM Neural Networks
    2019 240 citations Tolga Ergen, Süleyman S. Kozat IEEE Transactions on Neural Networks and Learning Systems profile →

Peers

Tolga Ergen
Osamu Saotome Brazil
Raimondo Giuliani Italy
Yifan Li China
Daniel Ramotsoela South Africa
David Ricardo Cruz Mexico
Mukesh Soni India
Lingjie Li China
Si Chen China
Minkyu Kim South Korea
Carsten Fritsche Sweden
Osamu Saotome Brazil
Tolga Ergen
Citations per year, relative to Tolga Ergen Tolga Ergen (= 1×) peers Osamu Saotome

Countries citing papers authored by Tolga Ergen

Since Specialization
Citations

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

Fields of papers citing papers by Tolga Ergen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tolga Ergen

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

All Works

14 of 14 papers shown
1.
Ergen, Tolga & Mert Pilancı. (2025). The Convex Landscape of Neural Networks: Characterizing Global Optima and Stationary Points via Lasso Models. IEEE Transactions on Information Theory. 71(5). 3854–3870.
2.
3.
Ergen, Tolga & Mert Pilancı. (2021). Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs. arXiv (Cornell University). 2993–3003. 1 indexed citations
4.
Ergen, Tolga & Süleyman S. Kozat. (2020). A novel distributed anomaly detection algorithm based on support vector machines. Digital Signal Processing. 99. 102657–102657. 11 indexed citations
5.
Ergen, Tolga & Mert Pilancı. (2020). Training Convolutional ReLU Neural Networks in Polynomial Time: Exact Convex Optimization Formulations. 2 indexed citations
6.
Ergen, Tolga & Mert Pilancı. (2019). Convex Optimization for Shallow Neural Networks. 79–83. 3 indexed citations
7.
Ergen, Tolga & Süleyman S. Kozat. (2019). Unsupervised Anomaly Detection With LSTM Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 31(8). 3127–3141. 240 indexed citations breakdown →
8.
Ergen, Tolga, et al.. (2019). Energy-Efficient LSTM Networks for Online Learning. IEEE Transactions on Neural Networks and Learning Systems. 31(8). 3114–3126. 17 indexed citations
9.
Ergen, Tolga, et al.. (2018). A highly efficient recurrent neural network architecture for data regression. Bilkent University Institutional Repository (Bilkent University). 1–4. 1 indexed citations
10.
Ergen, Tolga, et al.. (2018). A novel anomaly detection approach based on neural networks. Bilkent University Institutional Repository (Bilkent University). 1–4. 3 indexed citations
11.
Ergen, Tolga, et al.. (2018). Team-optimal online estimation of dynamic parameters over distributed tree networks. Signal Processing. 154. 148–158. 3 indexed citations
12.
Ergen, Tolga & Süleyman S. Kozat. (2017). Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences. IEEE Transactions on Neural Networks and Learning Systems. 29(10). 5159–5165. 80 indexed citations
13.
Ergen, Tolga & Süleyman S. Kozat. (2017). Efficient Online Learning Algorithms Based on LSTM Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 29(8). 3772–3783. 80 indexed citations
14.
Ergen, Tolga & Süleyman S. Kozat. (2017). Neural networks based online learning. Bilkent University Institutional Repository (Bilkent University). 17. 1–4. 1 indexed citations

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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