Simon Dooms

590 citations
25 papers · 426 · h-index 13

Impact in

Papers in

Simon Dooms

25 papers receiving 408 citations

Peers

Simon Dooms
Comparison fields: 5 of 49
  • Information Systems 357
  • Computer Vision and Pattern Recognition 126
  • Transportation 39
  • Management Science and Operations Research 63
  • Artificial Intelligence 157
Replace Ana Peleteiro with:
Ana Peleteiro Spain
Xiangwu Meng China
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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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201388
2
MovieTweetings: a movie rating dataset collected from twitter
201378
3 201345
4 201323
5
A user-centric evaluation of recommender algorithms for an event recommendation system
201122
6 201421
7 201216
8 201314
9 201114
10 201613
11
Social Recommendations for Events
201312
12 201012
13 201312
14 201310
15 20119
16 20148
17 20138
18 20147
19 20114
20
Improving IMDb movie recommendations with interactive settings and filters
20143

About Simon Dooms

Simon Dooms is a scholar working on Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, Sociology and Political Science and Artificial Intelligence, having authored 25 papers that have together received 426 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (21 papers), Caching and Content Delivery (5 papers), Advanced Bandit Algorithms Research (5 papers), Multimedia Communication and Technology (4 papers), Image and Video Quality Assessment (3 papers), Expert finding and Q&A systems (3 papers), Data Stream Mining Techniques (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Information Systems (357 citations), Computer Vision and Pattern Recognition (126 citations), Transportation (39 citations), Management Science and Operations Research (63 citations) and Artificial Intelligence (157 citations). Simon Dooms has collaborated with scholars based in Belgium and Netherlands. Frequent co-authors include Luc Martens, Toon De Pessemier, Kris Vanhecke, Alan Said, Domonkos Tikk, Babak Loni, Pieter Audenaert, Jan Fostier, Alejandro Bellogín 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, ACM SIGWEB Newsletter and Ghent University Academic Bibliography (Ghent University).

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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