Kimmo Hätönen

881 citations
30 papers · 515 · h-index 9

Impact in

Papers in

Kimmo Hätönen

28 papers receiving 459 citations

Peers

Kimmo Hätönen
Comparison fields: 5 of 65
  • Signal Processing 121
  • Computer Networks and Communications 258
  • Information Systems 133
  • Artificial Intelligence 180
  • Software 18
Replace Shen Chang-xiang with:
Shen Chang-xiang China
Ravishankar Borgaonkar Germany
Saša Radomirović Switzerland
Ralf Sasse Switzerland
Norbert Tihanyi United Arab Emirates
YE Dong-yi China
Weizhong Qiang China
Sedat Akleylek Türkiye
Lansheng Han China
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Citations per field
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Shen Chang-xiang · 1×
Citations per year

Countries citing papers authored by Kimmo Hätönen

Since Specialization
Citations

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

Fields of papers citing papers by Kimmo Hätönen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kimmo Hätönen, 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 Kimmo Hätönen Line = papers co-authored together Kimmo Hätönen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 200087
3 200260
4 200552
5 200635
6 200232
7 200323
8 201922
9 200815
10 20108
11 20036
12
Data Mining in Quality Analysis of Digital Mobile Telecommunications Network
20036
13
Trial Report on Self-Organizing Map based Analysis Tool for Radio Networks
20045
14 20055
15 20154
16
IMPORTANCE OF SCALING IN UNSUPERVISED DISTANCE-BASED ANOMALY DETECTION
20094
17 20103
18 20123
19 20213
20 20103

About Kimmo Hätönen

Kimmo Hätönen is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 30 papers that have together received 515 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Advanced MIMO Systems Optimization (5 papers), Anomaly Detection Techniques and Applications (5 papers), Wireless Communication Networks Research (4 papers), Software System Performance and Reliability (4 papers), Data Mining Algorithms and Applications (4 papers), Service-Oriented Architecture and Web Services (3 papers) and Information and Cyber Security (3 papers). The work is most often cited by research in Signal Processing (121 citations), Computer Networks and Communications (258 citations), Information Systems (133 citations), Artificial Intelligence (180 citations) and Software (18 citations). Kimmo Hätönen has collaborated with scholars based in Finland, Australia and United States. Frequent co-authors include Volker Ziegler, Hannu Flinck, Vilho Räisänen, Marco Hoffmann, Harish Viswanathan, Mika Klemettinen, Heikki Mannila, Hannu Toivonen, Pekka Kumpulainen and Jaana Laiho. Their work appears in journals such as IEEE Transactions on Network and Service Management, IEEE Transactions on Wireless Communications, Neurocomputing, IEEE Access and Information Sciences.

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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