Paul Tyler

470 total citations · 1 hit paper
10 papers, 296 citations indexed

About

Paul Tyler is a scholar working on Control and Systems Engineering, Artificial Intelligence and Building and Construction. According to data from OpenAlex, Paul Tyler has authored 10 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 3 papers in Artificial Intelligence and 2 papers in Building and Construction. Recurrent topics in Paul Tyler's work include Privacy-Preserving Technologies in Data (3 papers), Traffic control and management (2 papers) and Traffic Prediction and Management Techniques (2 papers). Paul Tyler is often cited by papers focused on Privacy-Preserving Technologies in Data (3 papers), Traffic control and management (2 papers) and Traffic Prediction and Management Techniques (2 papers). Paul Tyler collaborates with scholars based in Australia and Poland. Paul Tyler's co-authors include Thierry Rakotoarivelo, David B. Smith, Ming Ding, Mohamed Ali Kâafar, Dinusha Vatsalan, Raghav Bhaskar, D. Ladjal, Serge Gaspers, Hassan Jameel Asghar and Zihuai Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the New York Academy of Sciences and ACM Computing Surveys.

In The Last Decade

Paul Tyler

8 papers receiving 286 citations

Hit Papers

The Impact of Adverse Weather Conditions on Autonomous Ve... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car
    2019 262 citations Ming Ding, David B. Smith et al. IEEE Vehicular Technology Magazine profile →

Peers

Paul Tyler
Miguel Ángel de Miguel Spain
Kay Fuerstenberg Germany
Yuxiao Zhang Japan
Hanting Yang Japan
Onur Toker United States
Christoph Schöller Germany
Arne Suppé United States
Hossein Tehrani Japan
Ewoud A. I. Pool Netherlands
Daniel Göhring Germany
Miguel Ángel de Miguel Spain
Paul Tyler
Citations per year, relative to Paul Tyler Paul Tyler (= 1×) peers Miguel Ángel de Miguel

Countries citing papers authored by Paul Tyler

Since Specialization
Citations

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

Fields of papers citing papers by Paul Tyler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Tyler

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

All Works

10 of 10 papers shown
1.
Yang, Mengmeng, Youyang Qu, Thilina Ranbaduge, et al.. (2025). From 5G to 6G: A Survey on Security, Privacy, and Standardization Pathways. ACM Computing Surveys. 58(8). 1–38. 2 indexed citations
2.
Asghar, Hassan Jameel, et al.. (2022). Making the Most of Parallel Composition in Differential Privacy. SHILAP Revista de lepidopterología. 3 indexed citations
3.
Vatsalan, Dinusha, Thierry Rakotoarivelo, Raghav Bhaskar, Paul Tyler, & D. Ladjal. (2022). Privacy risk quantification in education data using Markov model. British Journal of Educational Technology. 53(4). 804–821. 13 indexed citations
4.
Smith, David B., Peng Wang, Ming Ding, et al.. (2020). Privacy-Preserved Optimal Energy Trading, Statistics, and Forecasting for a Neighborhood Area Network. Computer. 53(5). 25–34. 8 indexed citations
5.
Ding, Ming, et al.. (2019). The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car. IEEE Vehicular Technology Magazine. 14(2). 103–111. 262 indexed citations breakdown →
6.
Mihăiţă, Adriana‐Simona, Paul Tyler, Aditya Krishna Menon, et al.. (2017). An Investigation of Positioning Accuracy Transmitted by Connected Heavy Vehicles Using DSRC. Transportation Research Board 96th Annual MeetingTransportation Research Board. 2 indexed citations
7.
Tyler, Paul, et al.. (2014). The CITI project: Australia's first cooperative intelligent transport system test facility for safety applications. SHILAP Revista de lepidopterología. 25(2). 64. 1 indexed citations
8.
Tyler, Paul, et al.. (2010). Roundabout Metering: Simulation and Reality. 1 indexed citations
9.
Tyler, Paul, et al.. (2009). Enhanced Roundabout Metering. 1 indexed citations
10.
Tyler, Paul. (1975). PREFACE. Annals of the New York Academy of Sciences. 247(1). 5–5. 3 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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