H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 49 Citations 8,340 275 World Ranking 3037 National Ranking 122

Research.com Recognitions

Awards & Achievements

The Canadian Academy of Engineering

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Global Positioning System
  • Electrical engineering

His primary scientific interests are in Inertial navigation system, Real-time computing, Global Positioning System, Inertial measurement unit and GPS/INS. His biological study spans a wide range of topics, including Navigation system, Control engineering, Gyroscope, Heading and Kalman filter. His Real-time computing study combines topics from a wide range of disciplines, such as Dead reckoning, Simulation and Embedded system.

His research in the fields of Satellite navigation and Mobile mapping overlaps with other disciplines such as Raw data and Error analysis. His studies deal with areas such as Noise and Control theory as well as Inertial measurement unit. As part of the same scientific family, Naser El-Sheimy usually focuses on GPS/INS, concentrating on GPS signals and intersecting with Fuzzy logic and Adaptive neuro fuzzy inference system.

His most cited work include:

  • Analysis and Modeling of Inertial Sensors Using Allan Variance (510 citations)
  • A new multi-position calibration method for MEMS inertial navigation systems (280 citations)
  • Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons. (216 citations)

What are the main themes of his work throughout his whole career to date?

Naser El-Sheimy mostly deals with Real-time computing, Inertial navigation system, Global Positioning System, Inertial measurement unit and Artificial intelligence. The Real-time computing study combines topics in areas such as Dead reckoning, GNSS applications, Embedded system and Heading. In his study, Filter and Sensor fusion is inextricably linked to Kalman filter, which falls within the broad field of Inertial navigation system.

As part of one scientific family, Naser El-Sheimy deals mainly with the area of Global Positioning System, narrowing it down to issues related to the Algorithm, and often Wavelet. Inertial measurement unit is closely attributed to Simulation in his study. His Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition.

He most often published in these fields:

  • Real-time computing (34.48%)
  • Inertial navigation system (28.91%)
  • Global Positioning System (25.99%)

What were the highlights of his more recent work (between 2018-2021)?

  • Real-time computing (34.48%)
  • GNSS applications (16.71%)
  • Inertial measurement unit (25.73%)

In recent papers he was focusing on the following fields of study:

Naser El-Sheimy mainly focuses on Real-time computing, GNSS applications, Inertial measurement unit, Inertial navigation system and Extended Kalman filter. Naser El-Sheimy has included themes like Reliability, Odometer, Positioning system, Ranging and Lidar in his Real-time computing study. His work deals with themes such as Dead reckoning, Heading and Navigation system, which intersect with GNSS applications.

He interconnects Gyroscope, Position fixing, Wavelet and Spoofing attack in the investigation of issues within Inertial measurement unit. Position covers Naser El-Sheimy research in Inertial navigation system. His Extended Kalman filter study integrates concerns from other disciplines, such as Wireless and Quadcopter.

Between 2018 and 2021, his most popular works were:

  • Toward Robust Crowdsourcing-Based Localization: A Fingerprinting Accuracy Indicator Enhanced Wireless/Magnetic/Inertial Integration Approach (44 citations)
  • Wireless Fingerprinting Uncertainty Prediction Based on Machine Learning. (22 citations)
  • Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization (20 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Electrical engineering
  • Computer vision

Naser El-Sheimy spends much of his time researching Real-time computing, Wireless, Extended Kalman filter, GNSS applications and Remote sensing. His Real-time computing research is multidisciplinary, incorporating perspectives in Node, Velocity measurement, Quadcopter, Ranging and Inertial measurement unit. Naser El-Sheimy performs integrative study on Inertial measurement unit and Measurement uncertainty.

His studies in Wireless integrate themes in fields like Kalman filter, Wireless sensor network, Reliability and Big data. He combines subjects such as Inertial navigation system, Outlier and Metric with his study of Extended Kalman filter. His research in Inertial navigation system intersects with topics in Odometer, State and Range.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Analysis and Modeling of Inertial Sensors Using Allan Variance

N. El-Sheimy;Haiying Hou;Xiaoji Niu.
IEEE Transactions on Instrumentation and Measurement (2008)

819 Citations

A new multi-position calibration method for MEMS inertial navigation systems

Z F Syed;P Aggarwal;C Goodall;X Niu.
Measurement Science and Technology (2007)

454 Citations

Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons.

Yuan Zhuang;Jun Yang;You Li;Longning Qi.
Sensors (2016)

320 Citations

Digital Terrain Modeling: Acquisition, Manipulation and Applications

Naser El-Sheimy;C. Valeo;A. Habib.
(2005)

275 Citations

MEMS-Based Integrated Navigation

Priyanka Aggarwal;Zainab Syed;Aboelmagd Noureldin;Naser El-Sheimy.
(2010)

246 Citations

A Standard Testing and Calibration Procedure for Low Cost MEMS Inertial Sensors and Units

P. Aggarwal;Z. Syed;X. Niu;N. El-Sheimy.
Journal of Navigation (2008)

214 Citations

An unscented Kalman filter for in-motion alignment of low-cost IMUs

Eun-Hwan Shin;N. El-Sheimy.
ieee/ion position, location and navigation symposium (2004)

179 Citations

Wavelet de-noising for IMU alignment

N. El-Sheimy;S. Nassar;A. Noureldin.
IEEE Aerospace and Electronic Systems Magazine (2004)

174 Citations

Online INS/GPS integration with a radial basis function neural network

R. Sharaf;A. Noureldin;A. Osman;N. El-Sheimy.
IEEE Aerospace and Electronic Systems Magazine (2005)

150 Citations

The development of VISAT: a mobile survey system for GIS applications

Naser El-Sheimy.
(1996)

147 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Naser El-Sheimy

Aboelmagd Noureldin

Aboelmagd Noureldin

Royal Military College of Canada

Publications: 71

Ayman Habib

Ayman Habib

Purdue University West Lafayette

Publications: 27

Juha Hyyppä

Juha Hyyppä

Finnish Geospatial Research Institute

Publications: 25

Antero Kukko

Antero Kukko

Aalto University

Publications: 21

Harri Kaartinen

Harri Kaartinen

University of Turku

Publications: 17

Jinling Wang

Jinling Wang

UNSW Sydney

Publications: 17

Anttoni Jaakkola

Anttoni Jaakkola

Finnish Geospatial Research Institute

Publications: 14

Jiancheng Fang

Jiancheng Fang

Beihang University

Publications: 14

Chris Rizos

Chris Rizos

UNSW Sydney

Publications: 13

Peter Händel

Peter Händel

Royal Institute of Technology

Publications: 12

Ahmed El-Shafie

Ahmed El-Shafie

University of Malaya

Publications: 12

Gérard Lachapelle

Gérard Lachapelle

University of Calgary

Publications: 10

Hannu Hyyppä

Hannu Hyyppä

Aalto University

Publications: 10

Niki Trigoni

Niki Trigoni

University of Oxford

Publications: 9

Ruizhi Chen

Ruizhi Chen

Wuhan University

Publications: 8

Ryosuke Shibasaki

Ryosuke Shibasaki

University of Tokyo

Publications: 7

Something went wrong. Please try again later.