Ann Nowé

8.7k citations
378 papers · 6.1k · 2 hit papers · h-index 36

Impact in

Papers in

Ann Nowé

355 papers receiving 5.9k citations

Ann Nowé's Hit Papers

A Practical Guide to Multi-Objective Reinforcement Learning and Planning 2022 · 224 citations
2240+1+2Years since publication50100150200

Peers

Ann Nowé
Comparison fields: 5 of 191
  • Artificial Intelligence 2.3k
  • Management Science and Operations Research 650
  • Computational Theory and Mathematics 806
  • Computer Networks and Communications 863
  • Control and Systems Engineering 746
Replace Peilin Zhao with:
Peilin Zhao China
Xiao‐Zhi Gao Finland
Vasile Palade United Kingdom
Millie Pant India
Ferat Sahin United States
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JUDE W. SHAVLIK United States
Shengwu Xiong China
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Countries citing papers authored by Ann Nowé

Since Specialization
Citations

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

Fields of papers citing papers by Ann Nowé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 378 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012502
2 2012245
3
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
Hit paper breakdown →
2022224
4 2014203
5 2012186
6 2013185
7 2014168
8
Reviewing machine learning of corrosion prediction in a data-oriented perspective
Hit paper breakdown →
2022165
9
Reinforcement Learning: State-of-the-Art
2012164
10 2012148
11 200597
12
Reinforcement learning from demonstration through shaping
201591
13 201988
14 201381
15 200771
16 202271
17 201971
18 201969
19 201866
20 201565

About Ann Nowé

Ann Nowé is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Computer Networks and Communications and Control and Systems Engineering, having authored 378 papers that have together received 6.1k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (85 papers), Advanced Multi-Objective Optimization Algorithms (30 papers), Evolutionary Algorithms and Applications (29 papers), Metaheuristic Optimization Algorithms Research (28 papers), Optimization and Search Problems (28 papers), Smart Grid Energy Management (27 papers), Game Theory and Applications (25 papers) and Advanced Bandit Algorithms Research (24 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Management Science and Operations Research (650 citations), Computational Theory and Mathematics (806 citations), Computer Networks and Communications (863 citations) and Control and Systems Engineering (746 citations). Ann Nowé has collaborated with scholars based in Belgium, Netherlands and Cuba. Frequent co-authors include Peter Vrancx, Kristof Van Moffaert, Mădălina M. Drugan, Karl Tuyls, Katja Verbeeck, Cosmin Lazar, Jonatan Taminau, Stijn Meganck, David Steenhoff and Colin Molter. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Photonic Network Communications, Lecture notes in computer science, The Knowledge Engineering Review and Wind energy 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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