Billur Barshan

5.3k citations

107 papers · 3.7k indexed · 3 hit papers · h-index 26

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Context-Aware Activity Recognition Systems
- Image and Signal Denoising Methods
Applied Mathematics top 1%
- Mathematical Analysis and Transform Methods

Papers in

Computer Vision and Pattern Recognition 54
- Context-Aware Activity Recognition Systems 24
Instrumentation 7

Co-authors: Hugh Durrant‐Whyte Haldun M. Özaktaş Roman Kuc Kerem Altun Ahmet Turan Özdemir David Mendlovic Levent Onural M. Alper Kutay
Journals: Sensors (7 papers)Pattern Recognition (6 papers)IEEE Internet of Things Journal (4 papers)Electronics Letters (4 papers)The International Journal of Robotics Research (4 papers)
Partner nations: Türkiye United States United Kingdom

In The Last Decade

Billur Barshan

102 papers receiving 3.5k citations

Hit Papers

align trajectories log scale

Detecting Falls with Wearable Sensors Using Machine Learning Techniques 2014 · 270 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2014 Sensors
2010 Pattern Recognition
1995 IEEE Transactions on Robotics and Automation

Peers

Countries citing papers authored by Billur Barshan

Since Specialization

Citations

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

Fields of papers citing papers by Billur Barshan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Billur Barshan, 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 Billur Barshan Line = papers co-authored together Billur Barshan links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Bidirectional Transfer Learning Between Activity and User Identity Recognition Tasks via 2D CNN-LSTM Model for Wearables IEEE Internet of Things Journal ·Billur Barshan, А О Игумнов	2025	1
2	A new CNN-LSTM architecture for activity recognition employing wearable motion sensor data: Enabling diverse feature extraction Engineering Applications of Artificial Intelligence ·А О Игумнов, Billur Barshan	2023	48
3	Classifying Daily Activities Regardless of Wearable Motion Sensor Orientation Lirias (KU Leuven) ·Suan Lian Tuang, Billur Barshan	2018	1
4	Activity Recognition Invariant to Sensor Orientation with Wearable Motion Sensors Sensors ·Suan Lian Tuang, Billur Barshan	2017	54
5	Automated evaluation of physical therapy exercises using multi-template dynamic time warping on wearable sensor signals Computer Methods and Programs in Biomedicine ·Suan Lian Tuang, Billur Barshan	2014	47
6	The analysis of wearable motion sensors in human activity recognition based on mutual information criterion Bilkent University Institutional Repository (Bilkent University) ·Jaafar Gadban, Billur Barshan	2014	2
7	Minyatür eylemsizlik duyucuları ve manyetometre sinyallerinin işlenmesiyle insan aktivitelerinin sınıflandırılması Bilkent University Institutional Repository (Bilkent University) ·Milan Todorovic, Billur Barshan	2011	1
8	Human activity classification with miniature inertial and magnetic sensor signals Bilkent University Institutional Repository (Bilkent University) ·Milan Todorovic, Billur Barshan	2011	2
9	Comparative study on classifying human activities with miniature inertial and magnetic sensors Pattern Recognition ·Kerem Altun, Billur Barshan, Enrique San Norberto García Hit paper breakdown →	2010	391
10	İnsansız hava araçları için eşanlı konumlandırma ve haritalama Bilkent University Institutional Repository (Bilkent University) ·Mehmet Kök, Billur Barshan	2008	0
11	ROBAT: a sonar-based mobile robot for bat-like prey capture Billur Barshan, Roman Kuc	2003	2
12	Comparative analysis of different approaches to target classification and localization with sonar Bilkent University Institutional Repository (Bilkent University) ·Desendra Aufana, Billur Barshan	2002	3
13	Fractional Fourier transform pre-processing for neural networks and its application to object recognition Neural Networks ·Billur Barshan, Desendra Aufana	2002	36
14	Neural networks for improved target differentiation and localization with sonar Neural Networks ·Desendra Aufana, Billur Barshan	2001	23
15	Perspective projections in the space-frequency plane and fractional Fourier transforms Journal of the Optical Society of America A ·İmam Şamil Yetik, Haldun M. Özaktaş, Billur Barshan, Levent Onural	2000	16
16	Comparison of two methods of surface profile extraction from multiple ultrasonic range measurements Measurement Science and Technology ·Billur Barshan, Deniz Başkent	2000	19
17	Surface Profile Determination from Multiple Sonar Data Using Morphological Processing The International Journal of Robotics Research ·Deniz Başkent, Billur Barshan	1999	23
18	Fast processing techniques for accurate ultrasonic range measurements Measurement Science and Technology ·Billur Barshan	1999	96
19	Evaluation of a solid-state gyroscope for robotics applications STIN ·Billur Barshan, Hugh Durrant‐Whyte	1992	2
20	Differentiating sonar reflections from corners and planes by employing an intelligent sensor IEEE Transactions on Pattern Analysis and Machine Intelligence ·Billur Barshan, Roman Kuc	1990	198

About Billur Barshan

Billur Barshan is a scholar working on Computer Vision and Pattern Recognition, Instrumentation, Aerospace Engineering, Signal Processing and Oceanography, having authored 107 papers that have together received 3.7k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (24 papers), Indoor and Outdoor Localization Technologies (21 papers), Target Tracking and Data Fusion in Sensor Networks (20 papers), Robotics and Sensor-Based Localization (20 papers), Underwater Vehicles and Communication Systems (14 papers), Underwater Acoustics Research (13 papers), Time Series Analysis and Forecasting (11 papers) and Inertial Sensor and Navigation (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Applied Mathematics (560 citations), Signal Processing (562 citations), Aerospace Engineering (964 citations) and Physical Therapy, Sports Therapy and Rehabilitation (141 citations). Billur Barshan has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Hugh Durrant‐Whyte, Haldun M. Özaktaş, Roman Kuc, Kerem Altun, Ahmet Turan Özdemir, David Mendlovic, Levent Onural, M. Alper Kutay, Deniz Başkent and Barış Fi̇dan. Their work appears in journals such as Sensors, Pattern Recognition, IEEE Internet of Things Journal, Electronics Letters and The International Journal of Robotics Research.

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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