Takahiro Kasama

674 citations
16 papers · 417 indexed · h-index 6

Takahiro Kasama

15 papers receiving 397 citations

Peers

Takahiro Kasama
Comparison fields: 5 of 21
  • Signal Processing 316
  • Computer Networks and Communications 365
  • Artificial Intelligence 219
  • Software 19
  • Information Systems 106
Replace Yin Minn Pa Pa with:
Yin Minn Pa Pa Japan
Huy‐Trung Nguyen Vietnam
Shogo Suzuki Japan
Amine Boukhtouta Canada
Matija Stevanovic Denmark
Boldizsár Bencsáth Hungary
Gábor Pék Hungary
Amit Praseed India
Afsah Anwar United States
David Bigelow United States
Takahiro Kasama relative to Yin Minn Pa Pa Japan Yin Minn Pa Pa's profile →
Citations per field
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Yin Minn Pa Pa · 1×
Citations per year

Countries citing papers authored by Takahiro Kasama

Since Specialization
Citations

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

Fields of papers citing papers by Takahiro Kasama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Takahiro Kasama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takahiro Kasama Line = papers co-authored together Takahiro Kasama links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20250
2 20232
3 20217
4 202110
5 201941
6
Darkweb Analysis System by Combining HSDir's Snooping and Active Scanning
20181
7 2016164
8
IoTPOT: analysing the rise of IoT compromises
2015154
9 201523
10 20144
11
NONSTOP: Secure Remote Analysis Platform for Cybersecurity Information
20131
12
Malicious Traffic Detection based on Multimodal Analysis
20121
13 20122
14 20121
15 20125
16
A Framework for Countering Drive-by Download Attacks
20111

About Takahiro Kasama

Takahiro Kasama is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 16 papers that have together received 417 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Advanced Malware Detection Techniques (11 papers), Spam and Phishing Detection (5 papers), Cryptographic Implementations and Security (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), User Authentication and Security Systems (2 papers), Web Data Mining and Analysis (1 paper) and Security and Verification in Computing (1 paper). The work is most often cited by research in Signal Processing (316 citations), Computer Networks and Communications (365 citations) and Artificial Intelligence (219 citations). Takahiro Kasama has collaborated with scholars based in Japan, Netherlands and Germany. Frequent co-authors include Katsunari Yoshioka, Tsutomu Matsumoto, Yin Minn Pa Pa, Shogo Suzuki, Christian Rossow, Daisuke Inoue, Michel van Eeten, Carlos Gañán, Mitsuaki Akiyama and Ayumu Kubota. Their work appears in journals such as IEEE Access, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, IEICE Transactions on Information and Systems, Research Repository (Delft University of Technology) and IEICE Technical Report; IEICE Tech. Rep..

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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