Beat Wüthrich

572 citations
18 papers · 317 · h-index 8

Impact in

Papers in

Beat Wüthrich

17 papers receiving 272 citations

Peers

Beat Wüthrich
Comparison fields: 5 of 45
  • Management Science and Operations Research 146
  • Signal Processing 67
  • Artificial Intelligence 191
  • Finance 49
  • Information Systems 104
Replace Richard Kyle MacKinnon with:
Richard Kyle MacKinnon Canada
Quang-Thuy Ha Vietnam
Viorel Milea Netherlands
Henry G. Goldberg United States
Douglas Burdick United States
Bayu Distiawan Trisedya Australia
Rob Potharst Netherlands
Benjamin Rosenfeld Israel
Mark G. Kelly United Kingdom
Yong Shi China
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Citations per field
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Citations per year

Countries citing papers authored by Beat Wüthrich

Since Specialization
Citations

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

Fields of papers citing papers by Beat Wüthrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2002105
2 199964
3 199848
4 199524
5 200215
6 199413
7
Knowledge discovery in databases
199610
8 199710
9 20027
10 19995
11 19915
12
A Temporal and Probabilistic, Deductive and Object-Oriented Query Language.
19953
13 19923
14
On consistency checking in deductive databases.
19921
15
A Study on the Performance of Large Bayes Classifier
20001
16
Toward a Formal Framework for Comparing KD Techniques.
19951
17
Managing time and uncertainty
19941
18
Data quality in distributed environments
20001

About Beat Wüthrich

Beat Wüthrich is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Management Science and Operations Research, having authored 18 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Data Mining Algorithms and Applications (6 papers), Data Management and Algorithms (4 papers), Semantic Web and Ontologies (4 papers), Data Quality and Management (4 papers), Bayesian Modeling and Causal Inference (3 papers), Advanced Text Analysis Techniques (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Management Science and Operations Research (146 citations), Signal Processing (67 citations), Artificial Intelligence (191 citations), Finance (49 citations) and Information Systems (104 citations). Beat Wüthrich has collaborated with scholars based in Hong Kong and Switzerland. Frequent co-authors include Siu‐Fung Leung, Jiawan Zhang, Vincent Cho, Wai Lam, Peter Scháuble, Krishnaswamy Sankaran and Hongjun Lü. Their work appears in journals such as ACM Transactions on Information Systems, Knowledge and Information Systems, IEEE Transactions on Knowledge and Data Engineering, HKIE Transactions and ETH Zürich Research Collection.

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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