Jochen Hipp

31 papers receiving 1.1k citations

Jochen Hipp's Hit Papers

Algorithms for association rule mining — a general survey and comparison 2000 · 711 citations
7110+8+17Years since publication200400600

Peers

Jochen Hipp
Comparison fields: 5 of 108
  • Information Systems 698
  • Signal Processing 292
  • Computational Theory and Mathematics 371
  • Artificial Intelligence 465
  • Automotive Engineering 162
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Tho Quan Vietnam
Wen-Chih Peng Taiwan
Bestoun S. Ahmed Sweden
Andrei Petrovski United Kingdom
Jimmy Ming‐Tai Wu China
D. Yang China
Khaled Mellouli Tunisia
Shingo Yamaguchi Japan
Mohd Zakree Ahmad Nazri Malaysia
O. P. Vyas India
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Countries citing papers authored by Jochen Hipp

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Hipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Jochen Hipp, 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 Jochen Hipp Line = papers co-authored together Jochen Hipp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Algorithms for association rule mining — a general survey and comparison
Hit paper breakdown →
2000711
2 201483
3 199861
4 200061
5 200238
6 201636
7 202032
8 200032
9 202125
10
When Distribution is Part of the Semantics: A New Problem Class for Distributed Knowledge Discovery
200121
11 200220
12
Analysing Warranty Claims of Automobiles; An Application Description Following the CRISP-DM Data Mining Process
199915
13
Data Quality Mining - Making a Virute of Necessity.
200114
14 200210
15
Integrating Association Rule Mining Algorithms with Relational Database Systems.
20019
16 20079
17 19999
18 20228
19 20086
20 20206

About Jochen Hipp

Jochen Hipp is a scholar working on Information Systems, Computational Theory and Mathematics, Automotive Engineering, Artificial Intelligence and Signal Processing, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (16 papers), Rough Sets and Fuzzy Logic (12 papers), Autonomous Vehicle Technology and Safety (8 papers), Data Management and Algorithms (8 papers), Infrastructure Maintenance and Monitoring (3 papers), Traffic control and management (3 papers), Vehicle emissions and performance (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Information Systems (698 citations), Signal Processing (292 citations), Computational Theory and Mathematics (371 citations), Artificial Intelligence (465 citations) and Automotive Engineering (162 citations). Jochen Hipp has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Ulrich Güntzer, Gholamreza Nakhaeizadeh, Christoph Stiller, Rüdiger Wirth, Manfred Reichert, Martin Haueis, Julius Ziegler, Christoph G. Keller, Markus Schreiber and Carsten Knöppel. Their work appears in journals such as IEEE Robotics and Automation Letters, Image and Vision Computing, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, IEEE Transactions on Intelligent Transportation Systems and Lecture notes in computer science.

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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