A. Inkeri Verkamo

6.0k citations
23 papers · 3.5k indexed · 2 hit papers · h-index 11
Topics
Data Mining Algorithms and Applications (7 papers)Parallel Computing and Optimization Techniques (4 papers)Distributed and Parallel Computing Systems (4 papers)
Partner nations
FinlandGermanyRussia

In The Last Decade

A. Inkeri Verkamo

23 papers receiving 3.0k citations

Hit Papers

Fast discovery of association rules1996202620062016199619974008001.2k

Peers

A. Inkeri Verkamo
Comparison fields: 5 of 122
  • Information Systems 2.6k
  • Artificial Intelligence 1.7k
  • Computational Theory and Mathematics 1.5k
  • Signal Processing 1.2k
  • Computer Networks and Communications 717
Replace Meichun Hsu with:
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A. Inkeri Verkamo relative to Meichun Hsu United States Meichun Hsu's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Inkeri Verkamo

Since Specialization
Citations

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

Fields of papers citing papers by A. Inkeri Verkamo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Inkeri Verkamo. 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 A. Inkeri Verkamo. The network helps show where A. Inkeri Verkamo may publish in the future.

Co-authorship network of co-authors of A. Inkeri Verkamo

This figure shows the co-authorship network connecting the top 25 collaborators of A. Inkeri Verkamo. A scholar is included among the top collaborators of A. Inkeri Verkamo 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 A. Inkeri Verkamo. A. Inkeri Verkamo 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
#WorkIndexed citations
1 10
2 26
3 1
4 45
5 8
6
Discovery of Frequent Episodes in Event Sequencesbreakdown →
859
7
Fast discovery of association rulesbreakdown →
1290
8
Problems in Interfacing Tools of Different Development Environments.
1
9
Discovering frequent episodes in sequences extended abstract
23
10 358
11
Cooperation of KBS development environments and CASE environments.
1
12
Improved Methods for Finding Association Rules
10
13
Efficient algorithms for discovering association rules
371
14 431
15
Efficient Algorithms Association for Discovering Rules
4
16 8
17 5
18 1
19 14
20 10

About A. Inkeri Verkamo

A. Inkeri Verkamo is a scholar working on Information Systems, Hardware and Architecture and Software, having authored 23 papers that have together received 3.5k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (7 papers), Parallel Computing and Optimization Techniques (4 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Information Systems (2.6k citations), Signal Processing (1.2k citations) and Computational Theory and Mathematics (1.5k citations). A. Inkeri Verkamo has collaborated with scholars based in Finland, Germany and Russia. Frequent co-authors include Heikki Mannila, Hannu Toivonen, Rakesh Agrawal, Ramakrishnan Srikant, Mika Klemettinen, Helena Ahonen-Myka, O. P. Heinonen, Jukka Paakki, Juha Taina and Dmitry Korzun. Their work appears in journals such as Journal of Systems and Software, Data Mining and Knowledge Discovery and The Computer Journal.

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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