Enda Howley

2.5k citations
64 papers · 1.4k indexed · 1 hit paper · h-index 20
Topics
Cloud Computing and Resource Management (15 papers)Advanced Multi-Objective Optimization Algorithms (14 papers)Reinforcement Learning in Robotics (13 papers)

In The Last Decade

Enda Howley

62 papers receiving 1.4k citations

Hit Papers

A practical guide to multi-objective reinforcement learni...2022202620232024202250100150

Peers

Enda Howley
Comparison fields: 5 of 108
  • Computer Networks and Communications 622
  • Information Systems 596
  • Artificial Intelligence 416
  • Electrical and Electronic Engineering 307
  • Management Science and Operations Research 129
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Juan Li China
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William J. Knottenbelt United Kingdom
Lihua Yin China
Ming‐Chao Chiang Taiwan
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Citations per field
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Countries citing papers authored by Enda Howley

Since Specialization
Citations

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

Fields of papers citing papers by Enda Howley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enda Howley

This figure shows the co-authorship network connecting the top 25 collaborators of Enda Howley. A scholar is included among the top collaborators of Enda Howley 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 Enda Howley. Enda Howley 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 1
2 4
3 3
4 1
5 2
6 3
7
A practical guide to multi-objective reinforcement learning and planningbreakdown →
158
8 1
9 1
10 10
11 7
12 5
13 36
14 27
15 6
16 5
17 14
18 1
19
Agent Interactions and Implicit Trust in IPD Environments.
0
20 6

About Enda Howley

Enda Howley is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (15 papers), Advanced Multi-Objective Optimization Algorithms (14 papers) and Reinforcement Learning in Robotics (13 papers). The work is most often cited by research in Computer Networks and Communications (622 citations), Information Systems (596 citations) and Artificial Intelligence (416 citations). Enda Howley has collaborated with scholars based in Ireland, United Kingdom and Belgium. Frequent co-authors include Jim Duggan, Enda Barrett, Karl Mason, Patrick Mannion, Sam Devlin, Conor F. Hayes, Diederik M. Roijers, Mathieu Reymond, Timothy Verstraeten and Fredrik Heintz. Their work appears in journals such as Bioinformatics, Expert Systems with Applications and Energy.

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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