What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Computer network
Ubiquitous computing, Embedded system, GSM, Real-time computing and Key are his primary areas of study.
His research in Ubiquitous computing tackles topics such as Knowledge management which are related to areas like Internet privacy.
His Embedded system study incorporates themes from Web page, Activity recognition and Global Positioning System.
His GSM research is multidisciplinary, incorporating perspectives in Fingerprint and Mobile computing.
His research on Mobile computing frequently links to adjacent areas such as Mobile phone.
Real-time computing is closely attributed to Component in his work.
His most cited work include:
- Place lab: device positioning using radio beacons in the wild (1078 citations)
- Activity sensing in the wild: a field trial of ubifit garden (895 citations)
- The Mobile Sensing Platform: An Embedded Activity Recognition System (520 citations)
What are the main themes of his work throughout his whole career to date?
Anthony LaMarca focuses on Ubiquitous computing, Document management system, Mobile device, Mobile computing and World Wide Web.
The study incorporates disciplines such as Computer security, Real-time computing, Embedded system and Activity recognition in addition to Ubiquitous computing.
His Embedded system research includes elements of Computer hardware, Computer network and Key.
His work on Design Document Listing as part of general Document management system research is frequently linked to Well-formed document and User requirements document, thereby connecting diverse disciplines of science.
His studies in Mobile computing integrate themes in fields like Location awareness, Global Positioning System, Distributed computing and GSM.
His GSM study combines topics in areas such as Fingerprint and Mobile phone.
He most often published in these fields:
- Ubiquitous computing (19.59%)
- Document management system (16.89%)
- Mobile device (15.54%)
What were the highlights of his more recent work (between 2011-2016)?
- Mobile device (15.54%)
- Scope (6.08%)
- Computer network (10.14%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Mobile device, Scope, Computer network, Wireless signal and Embedded system.
His work in Mobile device addresses subjects such as Data mining, which are connected to disciplines such as Geolocation, Global Positioning System, GPSS and Signal.
His Scope research is multidisciplinary, relying on both Computer security, Resource and Wireless.
He has researched Wireless signal in several fields, including Real-time computing, Limit, Time of arrival and Simulation.
The Real-time computing study combines topics in areas such as Video tracking, Ubiquitous computing, Detector and Accelerometer.
His research in Embedded system intersects with topics in Wireless network, Computer hardware and Authentication.
Between 2011 and 2016, his most popular works were:
- Location-aware mobile application management (46 citations)
- Systems and methods for service set identifier-based location detection (31 citations)
- Geo-location signal fingerprinting (26 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Computer network
His primary scientific interests are in Scope, Limit, Mobile device, Real-time computing and Meaning.
His work carried out in the field of Scope brings together such families of science as Wireless, Wireless network, Wi-Fi array and Laptop.
His research integrates issues of Activity recognition, Artificial intelligence, Computer vision and Wireless signal in his study of Real-time computing.
His Wireless signal study incorporates themes from Electronic engineering, Limit and Time of arrival.
Fencing, Information retrieval, Human–computer interaction, Location aware and Application lifecycle management are fields of study that intersect with his Meaning study.
His work deals with themes such as Geolocation, Signal, Global Positioning System and GPSS, which intersect with Data mining.
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.
