Thomas Pasquier

1.4k total citations · 1 hit paper
36 papers, 784 citations indexed

About

Thomas Pasquier is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Thomas Pasquier has authored 36 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 21 papers in Artificial Intelligence and 17 papers in Computer Networks and Communications. Recurrent topics in Thomas Pasquier's work include Cloud Data Security Solutions (18 papers), Security and Verification in Computing (15 papers) and Scientific Computing and Data Management (12 papers). Thomas Pasquier is often cited by papers focused on Cloud Data Security Solutions (18 papers), Security and Verification in Computing (15 papers) and Scientific Computing and Data Management (12 papers). Thomas Pasquier collaborates with scholars based in United Kingdom, New Zealand and United States. Thomas Pasquier's co-authors include Jean Bacon, David Eyers, Jatinder Singh, Julia Powles, Margo Seltzer, Peter Pietzuch, Andrew Rice, Andy Hopper, Thomas Moyer and Adam Bates and has published in prestigious journals such as Communications of the ACM, IEEE Internet of Things Journal and Scientific Data.

In The Last Decade

Thomas Pasquier

36 papers receiving 740 citations

Hit Papers

align trajectories

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.

Twenty Security Considerations for Cloud-Supported Internet of Things

2015 221 citations Jatinder Singh, Thomas Pasquier et al. IEEE Internet of Things Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Pasquier United Kingdom	14	497	460	329	141	104	36	784
Vinod Muthusamy Canada	19	664 1.3×	881 1.9×	214 0.7×	50 0.4×	69 0.7×	64	1.2k
Dimitri Van Landuyt Belgium	17	597 1.2×	413 0.9×	247 0.8×	108 0.8×	32 0.3×	96	772
Nobukazu Yoshioka Japan	15	619 1.2×	301 0.7×	292 0.9×	215 1.5×	27 0.3×	140	874
Raula Gaikovina Kula Japan	20	1.3k 2.5×	312 0.7×	244 0.7×	192 1.4×	131 1.3×	97	1.4k
Sarah Nadi Canada	19	1.0k 2.1×	410 0.9×	563 1.7×	278 2.0×	74 0.7×	66	1.3k
Shaowei Wang Canada	21	1.4k 2.7×	278 0.6×	566 1.7×	191 1.4×	71 0.7×	57	1.6k
Roxana Geambasu United States	14	362 0.7×	351 0.8×	324 1.0×	130 0.9×	27 0.3×	28	645
Akond Rahman United States	17	790 1.6×	493 1.1×	299 0.9×	350 2.5×	46 0.4×	82	1.1k
Timothy Grance Egypt	7	590 1.2×	402 0.9×	161 0.5×	73 0.5×	68 0.7×	13	752
Waldemar Hummer Austria	18	666 1.3×	579 1.3×	177 0.5×	46 0.3×	38 0.4×	76	868

Countries citing papers authored by Thomas Pasquier

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Pasquier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Pasquier

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Pocock, Adam, et al.. (2024). Computational Experiment Comprehension using Provenance Summarization. 1–19. 2 indexed citations

2.

Pasquier, Thomas, et al.. (2024). SafeBPF: Hardware-assisted Defense-in-depth for eBPF Kernel Extensions. 80–94. 3 indexed citations

3.

Lv, Qiujian, et al.. (2024). Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance. 3533–3551. 27 indexed citations

4.

Pasquier, Thomas, et al.. (2023). Unleashing Unprivileged eBPF Potential with Dynamic Sandboxing. 42–48. 8 indexed citations

5.

Lerner, Barbara, Emery R. Boose, Aaron M. Ellison, et al.. (2023). Making Provenance Work for You. The R Journal. 14(4). 141–159. 2 indexed citations

6.

Pasquier, Thomas, et al.. (2021). Secure Namespaced Kernel Audit for Containers. 518–532. 10 indexed citations

7.

Pasquier, Thomas, Thomas Moyer, Adam Bates, et al.. (2018). Runtime Analysis of Whole-System Provenance. Bristol Research (University of Bristol). 1601–1616. 57 indexed citations

8.

Pasquier, Thomas, Matthew K. Lau, Barbara Lerner, et al.. (2018). Sharing and Preserving Computational Analyses for Posterity with encapsulator. Computing in Science & Engineering. 20(4). 111–124. 8 indexed citations

9.

Pasquier, Thomas, Matthew K. Lau, A. Trisovic, et al.. (2017). If these data could talk. Scientific Data. 4(1). 170114–170114. 21 indexed citations

10.

Pasquier, Thomas, David Eyers, & Jean Bacon. (2017). PHP2Uni: Building Unikernels Using Scripting Language Transpilation. Bristol Research (University of Bristol). 228. 197–203. 3 indexed citations

11.

Pasquier, Thomas, Jatinder Singh, Julia Powles, et al.. (2017). Data provenance to audit compliance with privacy policy in the Internet of Things. Personal and Ubiquitous Computing. 22(2). 333–344. 39 indexed citations

12.

Singh, Jatinder, et al.. (2016). Big ideas paper. 1–15. 17 indexed citations

13.

Pasquier, Thomas, Jean Bacon, Jatinder Singh, & David Eyers. (2016). Data-Centric Access Control for Cloud Computing. Explore Bristol Research. 81–88. 10 indexed citations

14.

Pasquier, Thomas & David Eyers. (2016). Information Flow Audit for Transparency and Compliance in the Handling of Personal Data. Explore Bristol Research. 112–117. 6 indexed citations

15.

Pasquier, Thomas, Jatinder Singh, David Eyers, & Jean Bacon. (2015). Camflow: Managed Data-Sharing for Cloud Services. IEEE Transactions on Cloud Computing. 5(3). 472–484. 62 indexed citations

16.

Singh, Jatinder, Julia Powles, Thomas Pasquier, & Jean Bacon. (2015). Data Flow Management and Compliance in Cloud Computing. IEEE Cloud Computing. 2(4). 24–32. 35 indexed citations

17.

Singh, Jatinder, Thomas Pasquier, Jean Bacon, & David Eyers. (2015). Integrating Messaging Middleware and Information Flow Control. Explore Bristol Research. 4734. 54–59. 16 indexed citations

18.

Pasquier, Thomas, Jatinder Singh, & Jean Bacon. (2015). Clouds of Things Need Information Flow Control with Hardware Roots of Trust. Explore Bristol Research. 467–470. 9 indexed citations

19.

Singh, Jatinder, et al.. (2015). Twenty Security Considerations for Cloud-Supported Internet of Things. IEEE Internet of Things Journal. 3(3). 269–284. 221 indexed citations breakdown →

20.

Pasquier, Thomas, Jean Bacon, & Brian Shand. (2014). FlowR. Bristol Research (University of Bristol). 37–48. 6 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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