Ulaş Baran Baloğlu

5.6k citations

25 papers · 3.9k indexed · 5 hit papers · h-index 13

Radiology, Nuclear Medicine and Imaging top 0.5%
Artificial Intelligence top 0.5%
Cognitive Neuroscience top 2%
Cardiology and Cardiovascular Medicine top 2%
Computer Vision and Pattern Recognition top 2%

Co-authors: Özal Yıldırım U. Rajendra Acharya Muhammed Talo Tülin Öztürk Ru‐San Tan Galip Aydın Yakup Demir Edward J. Ciaccio
Topics: ECG Monitoring and Analysis (10 papers)EEG and Brain-Computer Interfaces (8 papers)Non-Invasive Vital Sign Monitoring (3 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Neurology
Journals: SHILAP Revista de lepidopterologíaInternational Journal of Environmental Research and Public Health Pattern Recognition Letters
Partner nations: Türkiye Singapore United Kingdom

In The Last Decade

Ulaş Baran Baloğlu

25 papers receiving 3.8k citations

Hit Papers

5 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.

Automated detection of COVID-19 cases using deep neural networks with X-ray images

2020 1.7k citations Tülin Öztürk, Muhammed Talo et al. Computers in Biology and Medicine profile →
Application of deep transfer learning for automated brain abnormality classification using MR images

2018 376 citations Muhammed Talo, Ulaş Baran Baloğlu et al. profile →
Classification of myocardial infarction with multi-lead ECG signals and deep CNN

2019 335 citations Ulaş Baran Baloğlu, Muhammed Talo et al. Pattern Recognition Letters profile →
A new approach for arrhythmia classification using deep coded features and LSTM networks

2019 279 citations Özal Yıldırım, Ulaş Baran Baloğlu et al. Computer Methods and Programs in Biomedicine profile →
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review

2020 215 citations Özal Yıldırım, Muhammed Talo et al. Computers in Biology and Medicine profile →

Peers

Countries citing papers authored by Ulaş Baran Baloğlu

Since Specialization

Citations

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

Fields of papers citing papers by Ulaş Baran Baloğlu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulaş Baran Baloğlu. 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 Ulaş Baran Baloğlu. The network helps show where Ulaş Baran Baloğlu may publish in the future.

Co-authorship network of co-authors of Ulaş Baran Baloğlu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Causal Loop Mapping of Emerging Energy Systems in Project TwinERGY: Towards Consumer Engagement with Group Model Building 2022 ·Zenodo (CERN European Organization for Nuclear Research) ·Theo Tryfonas,(unknown),Ulaş Baran Baloğlu,Patrick Tully,(unknown),(unknown)	1
2	Deep Neural Network Trained on Surface ECG Improves Diagnostic Accuracy of Prior Myocardial Infarction Over Q Wave Analysis 2021 ·Özal Yıldırım,Ulaş Baran Baloğlu,Muhammed Talo,(unknown),(unknown),Guson Kang,James Tooley,Mahmood Alhusseini,Tina Baykaner,Paul J. Wang,Marco Pérez,Larisa G. Tereshchenko,Sanjiv M. Narayan,Albert J. Rogers	3
3	Application of deep learning techniques for heartbeats detection using ECG signals-analysis and reviewbreakdown → 2020 ·Computers in Biology and Medicine ·(unknown),Özal Yıldırım,Muhammed Talo,Ulaş Baran Baloğlu,Yakup Demir,U. Rajendra Acharya	215
4	Automated detection of COVID-19 cases using deep neural networks with X-ray imagesbreakdown → 2020 ·Computers in Biology and Medicine ·Tülin Öztürk,Muhammed Talo,(unknown),Ulaş Baran Baloğlu,Özal Yıldırım,U. Rajendra Acharya	1743
5	Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals 2019 ·Journal of Medical Systems ·Betül Ay,Özal Yıldırım,Muhammed Talo,Ulaş Baran Baloğlu,Galip Aydın,Subha D. Puthankattil,U. Rajendra Acharya	195
6	Convolutional neural networks for multi-class brain disease detection using MRI images 2019 ·Computerized Medical Imaging and Graphics ·Muhammed Talo,Özal Yıldırım,Ulaş Baran Baloğlu,Galip Aydın,U. Rajendra Acharya	207
7	Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals 2019 ·Computers in Biology and Medicine ·Özal Yıldırım,Muhammed Talo,Betül Ay,Ulaş Baran Baloğlu,Galip Aydın,U. Rajendra Acharya	114
8	A new approach for arrhythmia classification using deep coded features and LSTM networksbreakdown → 2019 ·Computer Methods and Programs in Biomedicine ·Özal Yıldırım,Ulaş Baran Baloğlu,Ru‐San Tan,Edward J. Ciaccio,U. Rajendra Acharya	279
9	Classification of myocardial infarction with multi-lead ECG signals and deep CNNbreakdown → 2019 ·Pattern Recognition Letters ·Ulaş Baran Baloğlu,Muhammed Talo,Özal Yıldırım,Ru‐San Tan,U. Rajendra Acharya	335
10	Assessment of Supervised Learning Algorithms for Irony Detection in Online Social Media 2019 ·Ulaş Baran Baloğlu,Bilal Alataş,Harun Bingöl	5
11	REGP: A NEW POOLING ALGORITHM FOR DEEP CONVOLUTIONAL NEURAL NETWORKS 2019 ·Neural Network World ·Özal Yıldırım,Ulaş Baran Baloğlu	7
12	CONVOLUTIONAL LONG-SHORT TERM MEMORY NETWORKS MODEL FOR LONG DURATION EEG SIGNAL CLASSIFICATION 2019 ·Journal of Mechanics in Medicine and Biology ·Ulaş Baran Baloğlu,Özal Yıldırım	17
13	Recognition of Real-World Texture Images Under Challenging Conditions With Deep Learning 2018 ·Özal Yıldırım,Ayşegül Uçar,Ulaş Baran Baloğlu	8
14	Heartbeat type classification with optimized feature vectors 2018 ·An International Journal of Optimization and Control Theories & Applications (IJOCTA) ·Özal Yıldırım,Ulaş Baran Baloğlu	7
15	Lightweight privacy-preserving data aggregation scheme for smart grid metering infrastructure protection 2018 ·International Journal of Critical Infrastructure Protection ·Ulaş Baran Baloğlu,Yakup Demir	16
16	An Agent-Based Pythagorean Fuzzy Approach for Demand Analysis with Incomplete Information 2017 ·International Journal of Intelligent Systems ·Ulaş Baran Baloğlu,Yakup Demir	17
17	Texture Classification System Based on 2D-DOST Feature Extraction Method and LS-SVM Classifier 2017 ·SHILAP Revista de lepidopterología ·Özal Yıldırım,Ulaş Baran Baloğlu	3
18	A bayesian game-theoretic demand response model for the smart grid 2015 ·International Journal of Smart Grid and Clean Energy ·Ulaş Baran Baloğlu,Yakup Demir	8
19	Top-Down Motif Discovery in Biological Sequence Datasets by Genetic Algorithm 2006 ·Ulaş Baran Baloğlu,Mehmet Kaya	3
20	Top-Down Motif Discovery in Biological Sequence Datasets by Genetic Algorithm 2006 ·Ulaş Baran Baloğlu,Mehmet Kaya	3

About Ulaş Baran Baloğlu

Ulaş Baran Baloğlu is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Neurology, having authored 25 papers that have together received 3.9k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (10 papers), EEG and Brain-Computer Interfaces (8 papers) and Non-Invasive Vital Sign Monitoring (3 papers). The work is most often cited by research in Health Informatics (310 citations), Radiology, Nuclear Medicine and Imaging (2.0k citations) and Neurology (430 citations). Ulaş Baran Baloğlu has collaborated with scholars based in Türkiye, Singapore and United Kingdom. Frequent co-authors include Özal Yıldırım, U. Rajendra Acharya, Muhammed Talo, Tülin Öztürk, Ru‐San Tan, Galip Aydın, Yakup Demir, Edward J. Ciaccio, Betül Ay and Subha D. Puthankattil. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Pattern Recognition Letters.

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