Tim Booij

487 total citations · 1 hit paper
6 papers, 290 citations indexed

About

Tim Booij is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Tim Booij has authored 6 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Tim Booij's work include Network Security and Intrusion Detection (4 papers), Advanced Malware Detection Techniques (4 papers) and Spam and Phishing Detection (3 papers). Tim Booij is often cited by papers focused on Network Security and Intrusion Detection (4 papers), Advanced Malware Detection Techniques (4 papers) and Spam and Phishing Detection (3 papers). Tim Booij collaborates with scholars based in Netherlands, Australia and Canada. Tim Booij's co-authors include Frank den Hartog, Irina Chiscop, Nour Moustafa, Erik Meeuwissen, Christian Doerr, Luca Allodi, Savio Sciancalepore, Andrea Continella and Thijs van Ede and has published in prestigious journals such as IEEE Internet of Things Journal, TU/e Research Portal and Research Repository (Delft University of Technology).

In The Last Decade

Tim Booij

6 papers receiving 276 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.

ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Data Sets

2021 234 citations Tim Booij, Irina Chiscop 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
Tim Booij Netherlands	5	237	181	145	55	34	6	290
Irina Chiscop Netherlands	3	211 0.9×	171 0.9×	107 0.7×	26 0.5×	32 0.9×	8	255
Anand Mudgerikar United States	7	224 0.9×	132 0.7×	139 1.0×	48 0.9×	40 1.2×	11	266
Maryam Feily Malaysia	3	243 1.0×	184 1.0×	173 1.2×	62 1.1×	16 0.5×	6	270
Ayyoob Hamza Australia	5	185 0.8×	134 0.7×	112 0.8×	24 0.4×	31 0.9×	9	220
Daniele Midi United States	9	277 1.2×	119 0.7×	132 0.9×	60 1.1×	34 1.0×	21	315
Jeman Park United States	7	188 0.8×	141 0.8×	157 1.1×	66 1.2×	10 0.3×	14	240
Erik Meeuwissen Netherlands	5	244 1.0×	160 0.9×	105 0.7×	29 0.5×	33 1.0×	11	281
Tommy Chin United States	8	225 0.9×	126 0.7×	101 0.7×	66 1.2×	15 0.4×	13	263
Christopher D. McDermott United Kingdom	6	284 1.2×	201 1.1×	197 1.4×	45 0.8×	49 1.4×	13	320

Countries citing papers authored by Tim Booij

Since Specialization

Citations

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

Fields of papers citing papers by Tim Booij

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Booij

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

All Works

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6 of 6 papers shown

1.

Ede, Thijs van, et al.. (2022). Stepping out of the MUD: Contextual threat information for IoT devices with manufacturer-provided behavior profiles. TU/e Research Portal. 467–480. 9 indexed citations

2.

Booij, Tim, et al.. (2021). Get Rich or Keep Tryin’ Trajectories in dark net market vendor careers. Research Repository (Delft University of Technology). 202–212. 4 indexed citations

3.

Booij, Tim, et al.. (2021). Catching Phishers By Their Bait: Investigating the Dutch Phishing Landscape through Phishing Kit Detection. Research Repository (Delft University of Technology). 3757–3774. 6 indexed citations

4.

Booij, Tim, Irina Chiscop, Erik Meeuwissen, Nour Moustafa, & Frank den Hartog. (2021). ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Data Sets. IEEE Internet of Things Journal. 9(1). 485–496. 234 indexed citations breakdown →

5.

Booij, Tim, et al.. (2019). Inadvertently Making Cyber Criminals Rich: A Comprehensive Study of Cryptojacking Campaigns at Internet Scale. Research Repository (Delft University of Technology). 1627–1644. 16 indexed citations

6.

Booij, Tim, et al.. (2019). Just the Tip of the Iceberg. 449–464. 21 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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