Harri Hakonen

1.0k citations
15 papers · 597 · h-index 8

Impact in

    • Data Management and Algorithms
    • Time Series Analysis and Forecasting
    • Advanced Malware Detection Techniques
  • Software top 10%

Papers in

Harri Hakonen

12 papers receiving 545 citations

Peers

Harri Hakonen
Comparison fields: 5 of 83
  • Signal Processing 125
  • Software 38
  • Computer Networks and Communications 195
  • Artificial Intelligence 253
  • Hardware and Architecture 40
Replace Jae‐Cheol Ryou with:
Jae‐Cheol Ryou South Korea
L.D. Paulson United States
Daniel J. Dubois United States
José M. de Fuentes Spain
Robert Laddaga United States
Riivo Talviste Germany
David Wolber United States
Oriana Riva United States
Jean-Pierre Briot France
Harri Hakonen relative to Jae‐Cheol Ryou South Korea Jae‐Cheol Ryou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Harri Hakonen

Since Specialization
Citations

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

Fields of papers citing papers by Harri Hakonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Harri Hakonen, 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 Harri Hakonen Line = papers co-authored together Harri Hakonen links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2002390
2 2002122
3
Towards a Definition of a Computer Game
200322
4 200618
5 20059
6
Networking and Multiplayer Computer Games – The Story So Far
20037
7 20027
8 20177
9
Towards Swift and Accurate Collusion Detection.
20075
10
Synthetic Players: A Quest for Artificial Intelligence in Computer Games
20054
11
Are we 'users' of interactive stories?
20082
12 20042
13 20021
14
Learning to Make Computer Games: An Academic Approach
20081
15 20110

About Harri Hakonen

Harri Hakonen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Information Systems and Signal Processing, having authored 15 papers that have together received 597 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (6 papers), Peer-to-Peer Network Technologies (6 papers), Digital Games and Media (4 papers), Distributed and Parallel Computing Systems (3 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Multimedia Communication and Technology (2 papers), Algorithms and Data Compression (2 papers) and Data Management and Algorithms (1 paper). The work is most often cited by research in Signal Processing (125 citations), Software (38 citations), Computer Networks and Communications (195 citations), Artificial Intelligence (253 citations) and Hardware and Architecture (40 citations). Harri Hakonen has collaborated with scholars based in Finland and Sweden. Frequent co-authors include Lasse Bergroth, T. Raita, Jouni Smed, Timo Kaukoranta, Timo Knuutila, Tuomas Mäkilä and Sami Hyrynsalmi. Their work appears in journals such as The Electronic Library, Cell Host & Microbe and Computer Networks.

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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