Simon Dooms

595 citations
27 papers · 507 · h-index 13

Impact in

Papers in

Simon Dooms

27 papers receiving 491 citations

Peers

Simon Dooms
Comparison fields: 5 of 49
  • Information Systems 420
  • Computer Vision and Pattern Recognition 148
  • Transportation 44
  • Management Science and Operations Research 75
  • Artificial Intelligence 183
Replace Jorge D. Castro with:
Jorge D. Castro Spain
Anna Maclachlan Canada
How Jing United States
Inma Garcia Spain
Jiahui Liu China
Ernesto Diaz-Aviles Germany
Babak Loni Netherlands
Shengxian Wan China
Alexander Kotov United States
Hansu Gu United States
Simon Dooms relative to Jorge D. Castro Spain Jorge D. Castro's profile →
Citations per field
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Citations per year

Countries citing papers authored by Simon Dooms

Since Specialization
Citations

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

Fields of papers citing papers by Simon Dooms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Simon Dooms, 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 Simon Dooms Line = papers co-authored together Simon Dooms links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013104
2
MovieTweetings: a movie rating dataset collected from twitter
201394
3 201350
4 201430
5
A user-centric evaluation of recommender algorithms for an event recommendation system
201127
6 201323
7 201219
8
Social Recommendations for Events
201318
9 201316
10 201116
11 201616
12 201014
13 201313
14 201111
15 201310
16 20149
17 20148
18 20138
19
Improving IMDb movie recommendations with interactive settings and filters
20145
20 20114

About Simon Dooms

Simon Dooms is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications, Management Science and Operations Research and Computer Science Applications, having authored 27 papers that have together received 507 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (23 papers), Caching and Content Delivery (6 papers), Advanced Bandit Algorithms Research (5 papers), Expert finding and Q&A systems (4 papers), Multimedia Communication and Technology (4 papers), Image and Video Quality Assessment (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Information Systems (420 citations), Computer Vision and Pattern Recognition (148 citations), Transportation (44 citations), Management Science and Operations Research (75 citations) and Artificial Intelligence (183 citations). Simon Dooms has collaborated with scholars based in Belgium and Netherlands. Frequent co-authors include Luc Martens, Toon De Pessemier, Babak Loni, Kris Vanhecke, Domonkos Tikk, Alan Said, Alejandro Bellogín, Pieter Audenaert, Jan Fostier and Wendy Van den Broeck. Their work appears in journals such as Multimedia Tools and Applications, ACM Transactions on Intelligent Systems and Technology, Journal of Intelligent Information Systems, Lecture notes in business information processing and ACM SIGWEB Newsletter.

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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