What is he best known for?
The fields of study he is best known for:
- Global Positioning System
- Artificial intelligence
- Telecommunications
James M. Janky spends much of his time researching Global Positioning System, Real-time computing, GLONASS, Signal and Electrical engineering.
Global Positioning System and Tactical air navigation system are two areas of study in which James M. Janky engages in interdisciplinary work.
The Real-time computing study combines topics in areas such as ALARM, Embedded system, Position tracking and Wireless.
James M. Janky combines subjects such as Multimedia, Assisted GPS, Pseudolite and Mobile database with his study of GLONASS.
James M. Janky regularly ties together related areas like Transmission in his Signal studies.
His Electrical engineering research focuses on Positioning system and how it connects with Boundary.
His most cited work include:
- Position based personal digital assistant (843 citations)
- Location of emergency service workers (295 citations)
- Vehicle route and schedule exception reporting system (272 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Real-time computing, Global Positioning System, GNSS applications, Satellite system and Signal.
His biological study spans a wide range of topics, including ALARM, Positioning system and Embedded system.
In general Global Positioning System, his work in GLONASS and Assisted GPS is often linked to Subcarrier linking many areas of study.
Many of his research projects under GNSS applications are closely connected to Chipset with Chipset, tying the diverse disciplines of science together.
His work deals with themes such as Smoothing, Radio frequency, Electronic engineering and Antenna, which intersect with Satellite system.
As a part of the same scientific study, James M. Janky usually deals with the Signal, concentrating on Transmission and frequently concerns with Ranging.
He most often published in these fields:
- Real-time computing (27.54%)
- Global Positioning System (27.54%)
- GNSS applications (26.09%)
What were the highlights of his more recent work (between 2012-2015)?
- GNSS applications (26.09%)
- Satellite system (20.29%)
- Chipset (11.59%)
In recent papers he was focusing on the following fields of study:
James M. Janky spends much of his time researching GNSS applications, Satellite system, Chipset, Computer hardware and Real-time computing.
His study in GNSS applications is interdisciplinary in nature, drawing from both Point of interest, Artificial intelligence and Azimuth.
His study focuses on the intersection of Azimuth and fields such as Entrance pupil with connections in the field of Electrical engineering.
His research in Satellite system intersects with topics in Smoothing, Radio frequency, Electronic engineering and Antenna.
His Real-time computing research is multidisciplinary, relying on both GNSS augmentation and Gesture.
His research on Pseudorange concerns the broader Global Positioning System.
Between 2012 and 2015, his most popular works were:
- Locally measured movement smoothing of gnss position fixes (41 citations)
- Gnss receiver positioning system (40 citations)
- Global navigation satellite system receiver system with radio frequency hardware component (39 citations)
In his most recent research, the most cited papers focused on:
- Telecommunications
- Artificial intelligence
- Global Positioning System
James M. Janky mainly focuses on GNSS applications, Satellite system, Chipset, Real-time computing and Pseudorange.
James M. Janky has included themes like Smoothing, Computer vision, Geodesy and Antenna in his GNSS applications study.
His Computer vision research includes elements of Entrance pupil, Point of interest, Artificial intelligence and Azimuth.
His Antenna research is multidisciplinary, incorporating perspectives in Frequency band, Serializer, Signal and Radio frequency.
Satellite system is often connected to Computer hardware in his work.
His Real-time computing research is multidisciplinary, relying on both GNSS augmentation, Positioning system and Electronic engineering.
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.
