Gregory J. Pottie
About
In The Last Decade
Gregory J. Pottie
135 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Networks and Communications 6.1k
- Electrical and Electronic Engineering 3.8k
- Artificial Intelligence 569
- Computer Vision and Pattern Recognition 532
- Biomedical Engineering 411
Countries citing papers authored by Gregory J. Pottie
This map shows the geographic impact of Gregory J. Pottie'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 Gregory J. Pottie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory J. Pottie more than expected).
Fields of papers citing papers by Gregory J. Pottie
This network shows the impact of papers produced by Gregory J. Pottie. 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 Gregory J. Pottie. The network helps show where Gregory J. Pottie may publish in the future.
Co-authorship network of co-authors of Gregory J. Pottie
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Pottie. A scholar is included among the top collaborators of Gregory J. Pottie 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 Gregory J. Pottie. Gregory J. Pottie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | Sensor Network Data Fault Detection Using Bayesian Maximum a Posterior Sensor Selection and Hierarchical Bayesian Space-Time Models | 1 |
| 5 | Sensor Network Data Fault Detection using Hierarchical Bayesian Space-Time Modeling | 5 |
| 6 | Actuation Techniques for Sensing Uncertainty Reduction | 2 |
| 7 | Fidelity and Resource Sensitive Data Gathering | 14 |
| 8 | Controlled Mobility for Sustainable Wireless Networks | 31 |
| 9 | Towards Event-Aware Adaptive Sampling Using Static and Mobile Nodes | 5 |
| 10 | Call and Response: Experiments in Sampling the Environment | 5 |
| 11 | Poster Abstract: Entropy-based Sensor Selection for Localization | 1 |
| 12 | Entropy-based Sensor Selection for Localization | 3 |
| 13 | Detection Fidelity in Distributed Wireless Sensor Networks | 2 |
| 14 | Networked Infomechanical Systems (NIMS) for Ambient Intelligence | 16 |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 65 | |
| 18 | 11 | |
| 19 | Review of 'Introduction to Trellis-Coded Modulation with Applications' (Biglieri, E., et al.; 1991). | 1 |
| 20 | 11 |
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.