Koen Vanhoof

202 papers receiving 4.1k citations

Peers

Koen Vanhoof
Comparison fields: 5 of 143
  • Transportation 482
  • Management Science and Operations Research 857
  • Artificial Intelligence 1.8k
  • Management Information Systems 454
  • Safety, Risk, Reliability and Quality 408
Replace So Young Sohn with:
So Young Sohn South Korea
Stefan Voß Germany
Omar Khadeer Hussain Australia
Yi Peng China
Mu‐Chen Chen Taiwan
Malcolm J. Beynon United Kingdom
Chung‐Hsing Yeh Australia
Ángel A. Juan Spain
R.J. Kuo Taiwan
Jennifer Shang United States
Koen Vanhoof relative to So Young Sohn South Korea So Young Sohn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Koen Vanhoof

Since Specialization
Citations

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

Fields of papers citing papers by Koen Vanhoof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 221 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999299
2 1999293
3 2017232
4 2008210
5 2003167
6 2011140
7 2008112
8 2016103
9 2012102
10 200894
11 200587
12 201686
13 201073
14 201869
15 200067
16 200364
17 200064
18 200361
19 200461
20 201161

About Koen Vanhoof

Koen Vanhoof is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computational Theory and Mathematics and Signal Processing, having authored 221 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cognitive Science and Mapping (52 papers), Rough Sets and Fuzzy Logic (34 papers), Cognitive Computing and Networks (34 papers), Data Mining Algorithms and Applications (33 papers), Multi-Criteria Decision Making (32 papers), Transportation Planning and Optimization (19 papers), Data Management and Algorithms (17 papers) and Customer Service Quality and Loyalty (16 papers). The work is most often cited by research in Transportation (482 citations), Management Science and Operations Research (857 citations), Artificial Intelligence (1.8k citations), Management Information Systems (454 citations) and Safety, Risk, Reliability and Quality (408 citations). Koen Vanhoof has collaborated with scholars based in Belgium, Cuba and Netherlands. Frequent co-authors include Geert Wets, Tom Brijs, Gonzalo Nápoles, Rafael Bello, Benoît Depaire, Gilbert Swinnen, Mieke Jans, Rafael Falcón, Geert‐Jan Houben and Nadine Lybaert. Their work appears in journals such as Expert Systems with Applications, Knowledge-Based Systems, Lecture notes in computer science, Knowledge and Information Systems and Accident Analysis & Prevention.

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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