Hannes Holm

1.5k total citations
47 papers, 944 citations indexed

About

Hannes Holm is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Hannes Holm has authored 47 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Information Systems, 31 papers in Computer Networks and Communications and 18 papers in Signal Processing. Recurrent topics in Hannes Holm's work include Information and Cyber Security (30 papers), Network Security and Intrusion Detection (27 papers) and Advanced Malware Detection Techniques (18 papers). Hannes Holm is often cited by papers focused on Information and Cyber Security (30 papers), Network Security and Intrusion Detection (27 papers) and Advanced Malware Detection Techniques (18 papers). Hannes Holm collaborates with scholars based in Sweden. Hannes Holm's co-authors include Mathias Ekstedt, Teodor Sommestad, Waldo Rocha Flores, Markus Buschle, Dennis Andersson, Per Närman, Göran N. Ericsson, Robert Lagerström, Khurram Shahzad and Marcus Nohlberg and has published in prestigious journals such as IEEE Transactions on Reliability, Journal of Systems and Software and Information and Software Technology.

In The Last Decade

Hannes Holm

45 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannes Holm Sweden 18 680 502 272 153 136 47 944
Reijo Savola Finland 16 563 0.8× 404 0.8× 166 0.6× 219 1.4× 43 0.3× 89 777
Pratyusa K. Manadhata United States 9 498 0.7× 503 1.0× 289 1.1× 293 1.9× 39 0.3× 16 867
Nobukazu Yoshioka Japan 15 619 0.9× 301 0.6× 215 0.8× 292 1.9× 54 0.4× 140 874
Dianxiang Xu United States 17 451 0.7× 267 0.5× 133 0.5× 330 2.2× 71 0.5× 69 877
Ketil Stølen Norway 14 639 0.9× 261 0.5× 116 0.4× 476 3.1× 89 0.7× 85 1.1k
Sandro Etalle Netherlands 19 368 0.5× 576 1.1× 221 0.8× 534 3.5× 58 0.4× 122 1.1k
Klaus‐Dieter Schewe New Zealand 14 417 0.6× 400 0.8× 181 0.7× 412 2.7× 113 0.8× 158 872
Richard C. Linger United States 12 544 0.8× 259 0.5× 145 0.5× 303 2.0× 51 0.4× 33 850
Pavol Zavarsky Canada 15 521 0.8× 387 0.8× 361 1.3× 287 1.9× 28 0.2× 102 825
Nuno Laranjeiro Portugal 14 584 0.9× 399 0.8× 95 0.3× 229 1.5× 83 0.6× 77 868

Countries citing papers authored by Hannes Holm

Since Specialization
Citations

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

Fields of papers citing papers by Hannes Holm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Holm

This figure shows the co-authorship network connecting the top 25 collaborators of Hannes Holm. A scholar is included among the top collaborators of Hannes Holm 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 Hannes Holm. Hannes Holm 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.
Holm, Hannes. (2022). Lore a Red Team Emulation Tool. IEEE Transactions on Dependable and Secure Computing. 20(2). 1596–1608. 9 indexed citations
2.
Holm, Hannes, Mathias Ekstedt, Teodor Sommestad, & Ulrik Franke. (2020). Success Rate of Remote Code Execution Attacks - Expert Assessments and Observations. JUCS - Journal of Universal Computer Science. 18(6). 732–749. 7 indexed citations
3.
Flores, Waldo Rocha, Hannes Holm, Mathias Ekstedt, & Marcus Nohlberg. (2015). Investigating the Correlation between Intention and Action in the Context of Social Engineering in Two Different National Cultures. 11. 3508–3517. 5 indexed citations
4.
Sommestad, Teodor, et al.. (2014). Quantifying the Effectivenness of Intrusion Detection Systems in Operation through Domain Experts. 10(2). 3–35. 1 indexed citations
5.
Flores, Waldo Rocha, Hannes Holm, Marcus Nohlberg, & Mathias Ekstedt. (2014). An Empirical Investigation of the Effect of Target-Related Information in Phishing Attacks. 357–363. 4 indexed citations
6.
Flores, Waldo Rocha, et al.. (2014). Using phishing experiments and scenario-based surveys to understand security behaviours in practice. Information Management & Computer Security. 22(4). 393–406. 41 indexed citations
7.
Holm, Hannes. (2014). A Framework and Calculation Engine for Modeling and Predicting the Cyber Security of Enterprise Architectures. KTH Publication Database DiVA (KTH Royal Institute of Technology). 6 indexed citations
8.
Holm, Hannes. (2014). Signature Based Intrusion Detection for Zero-Day Attacks: (Not) A Closed Chapter?. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4895–4904. 53 indexed citations
9.
Holm, Hannes, et al.. (2013). A Manual for the Cyber Security Modeling Language. 5 indexed citations
10.
Holm, Hannes. (2013). A Large-Scale Study of the Time Required to Compromise a Computer System. IEEE Transactions on Dependable and Secure Computing. 11(1). 2–15. 22 indexed citations
11.
Sommestad, Teodor, Hannes Holm, & Mathias Ekstedt. (2012). Estimates of success rates of remote arbitrary code execution attacks. Information Management & Computer Security. 20(2). 107–122. 14 indexed citations
12.
Närman, Per, et al.. (2012). Using enterprise architecture analysis and interview data to estimate service response time. The Journal of Strategic Information Systems. 22(1). 70–85. 30 indexed citations
13.
Sommestad, Teodor, Mathias Ekstedt, & Hannes Holm. (2012). The Cyber Security Modeling Language: A Tool for Assessing the Vulnerability of Enterprise System Architectures. IEEE Systems Journal. 7(3). 363–373. 111 indexed citations
14.
Flores, Waldo Rocha, Teodor Sommestad, Hannes Holm, & Mathias Ekstedt. (2011). Assessing Future Value of Investments in Security-Related IT Governance Control Objectives : Surveying IT Professionals. 14(2). 216–227. 7 indexed citations
15.
Holm, Hannes, et al.. (2011). A quantitative evaluation of vulnerability scanning. Information Management & Computer Security. 19(4). 231–247. 52 indexed citations
16.
Holm, Hannes, Teodor Sommestad, Ulrik Franke, & Mathias Ekstedt. (2011). Expert Assessment on the Probability of Successful Remote Code Execution Attacks. KTH Publication Database DiVA (KTH Royal Institute of Technology). 49–58. 5 indexed citations
17.
Sommestad, Teodor, Hannes Holm, & Mirjam Ekstedt. (2011). Estimates of Success Rates of Denial-of-Service Attacks. KTH Publication Database DiVA (KTH Royal Institute of Technology). 21–28. 8 indexed citations
18.
Franke, Ulrik, et al.. (2010). Availability of a SCADA/OMS/DMS system — A case study. 1–8. 11 indexed citations
19.
Närman, Per, et al.. (2010). Data accuracy assessment using enterprise architecture. Enterprise Information Systems. 5(1). 37–58. 31 indexed citations
20.
Lagerström, Robert, et al.. (2010). Identifying Factors Affecting Software Development Cost. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 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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