Lora Aroyo

7.8k citations

192 papers · 2.9k indexed · 1 hit paper · h-index 24

Impact in

Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
- Open Education and E-Learning
Health Informatics top 2%

Papers in

Computer Science Applications 60
- Mobile Crowdsensing and Crowdsourcing 39
- Open Education and E-Learning 19
Artificial Intelligence 126
- Semantic Web and Ontologies 67
- Topic Modeling 27
- Natural Language Processing Techniques 18

Co-authors: Chris Welty Darina Dicheva Johan Oomen Natalia Stash Praveen Paritosh Guus Schreiber Nithya Sambasivan Shivani Kapania
Journals: Journal of Web Semantics (4 papers)Semantic Web (3 papers)IEEE Intelligent Systems (3 papers)Computational Linguistics (2 papers)Language Resources and Evaluation (2 papers)
Partner nations: Netherlands United States Switzerland

In The Last Decade

Lora Aroyo

181 papers receiving 2.6k citations

Hit Papers

align trajectories log scale

“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI 2021 · 375 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI

Peers

Countries citing papers authored by Lora Aroyo

Since Specialization

Citations

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

Fields of papers citing papers by Lora Aroyo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

#	Work
1	Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation Fitri Novalia Dewi, Alicia Parrish, Oana Inel, ศานิตย์ สุวรรณวงศ์, Hannah Rose Kirk, Minsuk Kahng, Nadège Jullian, Max Bartolo, Haris Munirwan, Ellysa Paul, テルヒサヨシダ, Pido Bongomin, 张红林, Vijay Janapa Reddi, Lora Aroyo	2024	3
2	AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications GE Ya-zhe, Kevin Robinson, Lora Aroyo, Preethi Lahoti	2023	7
3	ControCurator: Understanding Controversy Using Collective Intelligence Data Archiving and Networked Services (DANS) ·徹赤地, Lora Aroyo, Tobias Kuhn, Kaspar Beelen, Evangelos Kanoulas, Bob van de Velde, Márquez Aguayo	2017	5
4	The VU Sound Corpus: Adding More Fine-grained Annotations to the Freesound Database Language Resources and Evaluation ·Emiel van Miltenburg, 徹赤地, Lora Aroyo	2016	4
5	INVENiT: exploring cultural heritage collections while adding annotations Data Archiving and Networked Services (DANS) ·Sociological science, Jacco van Ossenbruggen, Lora Aroyo, Guus Schreiber	2014	0
6	Extracting Core Knowledge from Linked Data Data Archiving and Networked Services (DANS) ·Valentina Presutti, Lora Aroyo, Alessandro Adamou, 光平沈, Aldo Gangemi, Guus Schreiber	2011	19
7	NoTube: making the Web part of personalised TV 光平沈, Hubab Yousaf, Lora Aroyo, A. Zhumaniyazova, Angel D’Crus, Ronald Siebes, Lyndon Nixon, Constanza Paz Diaz Garrido, Véronique Malaisé, Ravichandiran Kumarasamy, Nikky Punia, Nasrulah Ridwan Tonji, Yves Raimond	2010	6
8	The semantic Web : research and applications : 6th European Semantic Web Conference, ESWC 2009, Heraklion, Crete, Greece, May 31-June 4, 2009 : proceedings Springer eBooks ·Lora Aroyo, Paolo Traverso, Fabio Ciravegna, Philipp Cimiano, Tom Heath, Eero Hyvönen, Riichiro Mizoguchi, Eyal Oren, Marta Sabou, Elena Simperl	2009	10
9	Distributed personalization: bridging digital islands in museum and interactive TV TU/e Research Portal (Eindhoven University of Technology) ·Lora Aroyo	2008	2
10	The semantic web - ISWC 2006 : 5th international semantic web conference, ISWC 2006, Athens, GA, USA, November 5-9, 2006 : proceedings DIAL (Catholic University of Leuven) ·Paresh Shantaram Khetal J, Amdjed Islam Dali, Dean Allemang, Chris Preist, Daniel Schwabe, Peter Mika, Michael Uschold, Lora Aroyo	2006	0
11	The Next Big Thing: Adaptive Web-Based Systems TU/e Research Portal ·Pme Paul De Bra, Lora Aroyo, Δημήτριος Τσουμπάρης	2006	48
12	Ontology-driven User Modeling for Modular User Adaptive Systems LWA ·Aasim Maldar, Lora Aroyo, Paul De Bra	2004	3
13	A Layered Approach towards Domain Authoring Support TU/e Research Portal ·Lora Aroyo, Alexandra I. Cristea, Darina Dicheva	2002	16
14	Intelligent agents for educational computer-aided systems Lora Aroyo, Piet Kommers	2000	30
15	An agent-oriented approach for ideational support in learning—integration and impact Lora Aroyo, NAstor Busto Aguirreurreta, Piet Kommers	2000	2
16	(Eds.) Special Issue on Intelligent Agents for Education and Training Systems (eds.) Data Archiving and Networked Services (DANS) ·Lora Aroyo, Piet Kommers	1999	0
17	Agent-Based Instructional Design Model for Cognitive Mapping Data Archiving and Networked Services (DANS) ·Lora Aroyo, NAstor Busto Aguirreurreta, Piet Kommers	1999	1
18	Information Retrieval and Visualisation within the Context of an Agent-based Information Management System University of Twente Research Information ·Lora Aroyo, Darina Dicheva	1999	3
19	WebNet '98 Conference, Agents to Make Your Information Meaningful and Vissable: An Agent-Based Visual Information Management System Data Archiving and Networked Services (DANS) ·Lora Aroyo, (unknown), Darina Dicheva	1998	1
20	Agents to Make Your Information Meaningful and Visible : An Agent-Based Visual Information Management System University of Twente Research Information ·Lora Aroyo, 合田美穂, Darina Dicheva	1998	3

About Lora Aroyo

Lora Aroyo is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 192 papers that have together received 2.9k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (67 papers), Mobile Crowdsensing and Crowdsourcing (39 papers), Topic Modeling (27 papers), Video Analysis and Summarization (23 papers), Recommender Systems and Techniques (21 papers), Open Education and E-Learning (19 papers), Natural Language Processing Techniques (18 papers) and Multimedia Communication and Technology (15 papers). The work is most often cited by research in Computer Science Applications (669 citations), Health Informatics (79 citations), Artificial Intelligence (1.5k citations), Information Systems (839 citations) and Human-Computer Interaction (137 citations). Lora Aroyo has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Chris Welty, Darina Dicheva, Johan Oomen, Natalia Stash, Praveen Paritosh, Guus Schreiber, Nithya Sambasivan, Shivani Kapania, Lloyd Rutledge and Bob Wielinga. Their work appears in journals such as Journal of Web Semantics, Semantic Web, IEEE Intelligent Systems, Computational Linguistics and Language Resources and Evaluation.

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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