James Pope

728 total citations
38 papers, 494 citations indexed

About

James Pope is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, James Pope has authored 38 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Electrical and Electronic Engineering. Recurrent topics in James Pope's work include Context-Aware Activity Recognition Systems (9 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Non-Invasive Vital Sign Monitoring (5 papers). James Pope is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Non-Invasive Vital Sign Monitoring (5 papers). James Pope collaborates with scholars based in United Kingdom, United States and Denmark. James Pope's co-authors include Robert J. Piechocki, Ian Craddock, Xenofon Fafoutis, Saeid Sanei, Delaram Jarchi, Atis Elsts, George Oikonomou, Alexander J. Casson, Christopher Beach and Raúl Santos‐Rodríguez and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Materials Science.

In The Last Decade

James Pope

36 papers receiving 483 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Pope United Kingdom 11 212 148 119 106 52 38 494
Konstantinos Banitsas United Kingdom 13 200 0.9× 96 0.6× 57 0.5× 100 0.9× 81 1.6× 39 464
Foad Dabiri United States 15 282 1.3× 278 1.9× 173 1.5× 151 1.4× 29 0.6× 40 666
Gabriele Rescio Italy 14 323 1.5× 70 0.5× 73 0.6× 231 2.2× 29 0.6× 48 575
Ryan McConville United Kingdom 13 100 0.5× 93 0.6× 125 1.1× 174 1.6× 15 0.3× 47 535
Luca Pernini Italy 10 249 1.2× 97 0.7× 80 0.7× 277 2.6× 39 0.8× 14 488
Kamen Ivanov China 14 284 1.3× 34 0.2× 38 0.3× 102 1.0× 84 1.6× 35 492
Kai-Chun Liu Taiwan 13 308 1.5× 66 0.4× 55 0.5× 320 3.0× 23 0.4× 48 624
Simone Valenti Italy 11 228 1.1× 111 0.8× 94 0.8× 264 2.5× 30 0.6× 25 507
Balazs Janko United Kingdom 9 227 1.1× 200 1.4× 101 0.8× 110 1.0× 14 0.3× 16 427
Rony Darazi France 9 197 0.9× 129 0.9× 67 0.6× 261 2.5× 12 0.2× 26 473

Countries citing papers authored by James Pope

Since Specialization
Citations

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

Fields of papers citing papers by James Pope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Pope

This figure shows the co-authorship network connecting the top 25 collaborators of James Pope. A scholar is included among the top collaborators of James Pope 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 James Pope. James Pope is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Hongqiao & James Pope. (2025). Double Descent Phenomenon in Liquid Time-Constant Networks, Quantized Neural Networks and Spiking Neural Networks. Explore Bristol Research. 351–359. 1 indexed citations
2.
Huang, Yuxiang, et al.. (2025). Ransomware in Resource-Constrained Industrial IoT Networks: There Actually is a Threat. Kent Academic Repository (University of Kent). 1–8.
3.
Nunez‐Yanez, Jose, et al.. (2024). A Survey of Computationally Efficient Graph Neural Networks for Reconfigurable Systems. Information. 15(7). 377–377. 2 indexed citations
4.
Agarwal, Naman & James Pope. (2024). GenGradAttack: Efficient and Robust Targeted Adversarial Attacks Using Genetic Algorithms and Gradient-Based Fine-Tuning. Bristol Research (University of Bristol). 202–209. 1 indexed citations
5.
Pope, James, et al.. (2023). Multi-sensor, multi-device smart building indoor environmental dataset. Data in Brief. 49. 109392–109392. 1 indexed citations
6.
Pope, James, et al.. (2023). CRICKET: A Practical Physical Layer Key Agreement Protocol for IoT Networks. 10. 4521–4527. 1 indexed citations
7.
Mavromatis, Ioannis, et al.. (2023). LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. Explore Bristol Research. 7 indexed citations
8.
Kozłowski, Michał, Niall Twomey, Dallan Byrne, et al.. (2020). H4LO: automation platform for efficient RF fingerprinting using SLAM‐derived map and poses. IET Radar Sonar & Navigation. 14(5). 694–699. 5 indexed citations
9.
Pope, James, et al.. (2020). Supervised Machine Learning and Feature Selection for a Document Analysis Application. 415–424. 1 indexed citations
10.
Elsts, Atis, James Pope, Xenofon Fafoutis, Robert J. Piechocki, & George Oikonomou. (2019). Instant: A TSCH Schedule for Data Collection from Mobile Nodes. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 35–46. 6 indexed citations
11.
McConville, Ryan, Dallan Byrne, Ian Craddock, et al.. (2019). A dataset for room level indoor localization using a smart home in a box. SHILAP Revista de lepidopterología. 22. 1044–1051. 11 indexed citations
12.
McConville, Ryan, Dallan Byrne, Ian Craddock, et al.. (2018). Understanding the quality of calibrations for indoor localisation. Bristol Research (University of Bristol). 676–681. 9 indexed citations
13.
Fafoutis, Xenofon, Letizia Marchegiani, Atis Elsts, et al.. (2018). Extending the battery lifetime of wearable sensors with embedded machine learning. Bristol Research (University of Bristol). 269–274. 55 indexed citations
14.
Jarchi, Delaram, et al.. (2018). A Review on Accelerometry-Based Gait Analysis and Emerging Clinical Applications. IEEE Reviews in Biomedical Engineering. 11. 177–194. 143 indexed citations
15.
Pope, James, Antonis Vafeas, Atis Elsts, et al.. (2018). An accelerometer lossless compression algorithm and energy analysis for IoT devices. Bristol Research (University of Bristol). 17. 396–401. 7 indexed citations
16.
Elsts, Atis, Xenofon Fafoutis, James Pope, et al.. (2017). IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2017). 1 indexed citations
17.
Pope, James, Ryan McConville, Michał Kozłowski, et al.. (2017). SPHERE in a Box: Practical and Scalable EurValve Activity Monitoring Smart Home Kit. Bristol Research (University of Bristol). 128–135. 14 indexed citations
18.
Pope, James & Robert Simon. (2013). CREST: An epoch-oriented routing control plane for Low-Power and Lossy Networks. Bristol Research (University of Bristol). 56. 128–136. 2 indexed citations
19.
Pope, James, et al.. (1982). Status of high-level waste solidification at West Valley. 44. 1 indexed citations
20.
Pope, James & D. E. Harrison. (1981). Alkoxide derived vitreous waste forms. 1 indexed citations

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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