Kimberly Tam

1.7k total citations · 2 hit papers
39 papers, 1.1k citations indexed

About

Kimberly Tam is a scholar working on Ocean Engineering, Information Systems and Transportation. According to data from OpenAlex, Kimberly Tam has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ocean Engineering, 17 papers in Information Systems and 11 papers in Transportation. Recurrent topics in Kimberly Tam's work include Maritime Navigation and Safety (18 papers), Information and Cyber Security (13 papers) and Maritime Security and History (11 papers). Kimberly Tam is often cited by papers focused on Maritime Navigation and Safety (18 papers), Information and Cyber Security (13 papers) and Maritime Security and History (11 papers). Kimberly Tam collaborates with scholars based in United Kingdom, Türkiye and United States. Kimberly Tam's co-authors include Kevin Jones, Lorenzo Cavallaro, Aristide Fattori, Rosli Salleh, Ali Feizollah, Nor Badrul Anuar, Guillermo Suárez‐Tangil, Mansour Ahmadi, Johannes Kinder and Santanu Kumar Dash and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Information Fusion.

In The Last Decade

Kimberly Tam

37 papers receiving 1.0k 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.

CopperDroid: Automatic Reconstruction of Android Malware Behaviors

2015 254 citations Kimberly Tam et al. profile →
The Evolution of Android Malware and Android Analysis Techniques

2017 246 citations Kimberly Tam et al. profile →

Peers

Kimberly Tam

SP

CNC

IS

SOFTW

OE

Mass Soldal Lund Norway

Miroslav Bureš Czechia

Hanan Hindy Egypt

Juan Boubeta‐Puig Spain

Javam C. Machado Brazil

Tao Guo China

José Luis Flores Spain

Gaurav Choudhary Denmark

Chuan Yue China

Paolino Di Felice Italy

Mass Soldal Lund Norway

Kimberly Tam

100 ×0.2

SP

185 ×0.3

CNC

444 ×1.0

IS

100 ×0.3

SOFTW

85 ×0.3

OE

Citations per year, relative to Kimberly Tam Kimberly Tam (= 1×) peers Mass Soldal Lund

Countries citing papers authored by Kimberly Tam

Since Specialization

Citations

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

Fields of papers citing papers by Kimberly Tam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Tam. A scholar is included among the top collaborators of Kimberly Tam 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 Kimberly Tam. Kimberly Tam 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.

Yao, Mingde, et al.. (2025). Language-guided reasoning segmentation for underwater images. Information Fusion. 122. 103177–103177. 3 indexed citations

2.

Tam, Kimberly, et al.. (2024). Literature review of maritime cyber security: The first decade. 7(2). 273805–273805. 5 indexed citations

3.

Tam, Kimberly, et al.. (2024). Generating training events for building cyber-physical security skills. The Computer Journal. 68(5). 445–459. 1 indexed citations

4.

Tam, Kimberly, et al.. (2024). Future of maritime autonomy: cybersecurity, trust and mariner's situational awareness. Journal of Marine Engineering & Technology. 23(3). 224–235. 12 indexed citations

5.

Barrett, Aaron, et al.. (2024). A Red Teaming Framework for Securing AI in Maritime Autonomous Systems. Applied Artificial Intelligence. 38(1). 3 indexed citations

6.

Söner, Ömer, et al.. (2024). An investigation of ransomware incidents in the maritime industry: Exploring the key risk factors. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 239(4). 659–678. 1 indexed citations

7.

Söner, Ömer, et al.. (2023). Risk sensitivity analysis of AIS cyber security through maritime cyber regulatory frameworks. Applied Ocean Research. 142. 103855–103855. 18 indexed citations

8.

Tam, Kimberly, et al.. (2023). A human-centred design approach for the development and conducting of maritime cyber resilience training. WMU Journal of Maritime Affairs. 22(2). 241–266. 12 indexed citations

9.

Söner, Ömer, et al.. (2023). Cybersecurity risk assessment of VDR. Journal of Navigation. 76(1). 20–37. 18 indexed citations

10.

Tam, Kimberly, et al.. (2023). Raising the Standard of Maritime Voyage Data Recorder Security. Journal of Marine Science and Engineering. 11(2). 267–267. 8 indexed citations

11.

Barrett, Aaron, et al.. (2023). Adversarial AI Testcases for Maritime Autonomous Systems. PEARL (University of Plymouth). 2. 12 indexed citations

12.

Tam, Kimberly, et al.. (2023). Quantifying the econometric loss of a cyber-physical attack on a seaport. Frontiers in Computer Science. 4. 6 indexed citations

13.

Tam, Kimberly, et al.. (2023). BridgeInsight: An asset profiler for penetration testing in a heterogeneous maritime bridge environment. PEARL (University of Plymouth). First–First. 2 indexed citations

14.

Tam, Kimberly, et al.. (2023). Security Implications of a Satellite Communication Device on Wireless Networks Using Pentesting. PEARL (University of Plymouth). 292–298. 4 indexed citations

15.

Tam, Kimberly, et al.. (2023). CERP: A Maritime Cyber Risk Decision Making Tool. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 17(2). 269–279. 2 indexed citations

16.

Tam, Kimberly, et al.. (2022). Multi-Purpose Cyber Environment for Maritime Sector. PEARL (University of Plymouth). 17(1). 349–357. 6 indexed citations

17.

Tam, Kimberly, et al.. (2022). Towards a Digital Twin of a Complex Maritime Site for Multi-Objective Optimization. PEARL (University of Plymouth). 331–345. 3 indexed citations

18.

Tam, Kimberly, et al.. (2021). Case Study of a Cyber-Physical Attack Affecting Port and Ship Operational Safety. Journal of Transportation Technologies. 12(1). 1–27. 17 indexed citations

19.

Pozdniakov, Konstantin, Eduardo Alonso, Vladimir Stanković, Kimberly Tam, & Kevin Jones. (2020). Smart Security Audit: Reinforcement Learning with a Deep Neural Network Approximator. City Research Online (City University London). 1–8. 15 indexed citations

20.

Tam, Kimberly & Kevin Jones. (2019). Forensic Readiness within the Maritime Sector. PEARL (University of Plymouth). 1–4. 7 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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