David E. Losada

2.3k citations
77 papers · 789 indexed · h-index 17

David E. Losada

70 papers receiving 748 citations

Peers

David E. Losada
Comparison fields: 5 of 122
  • Artificial Intelligence 528
  • Applied Psychology 60
  • Information Systems 261
  • Computer Science Applications 40
  • Social Psychology 144
Replace Javier Parapar with:
Javier Parapar Spain
Andrew Yates United States
Fidel Cacheda Spain
Diego Fernández Spain
Víctor Carneiro Spain
Sharifullah Khan Pakistan
NhatHai Phan United States
Sebastian Tschiatschek Austria
Steve Yuan United States
Mauro Dragoni Italy
David E. Losada relative to Javier Parapar Spain Javier Parapar's profile →
Citations per field
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Javier Parapar · 1×
Citations per year

Countries citing papers authored by David E. Losada

Since Specialization
Citations

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

Fields of papers citing papers by David E. Losada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Losada. 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 David E. Losada. The network helps show where David E. Losada may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20259
5 20232
6 20231
7 202227
8 202150
9
CiTIUS at the TREC 2020 Health Misinformation Track.
20201
10
Compare statistical significance tests for information retrieval evaluation
20198
11
Overview of eRisk at CLEF 2019 Early Risk Prediction on the Internet (extended overview)
201917
12
Overview of eRisk 2018: Early Risk Prediction on the Internet (extended lab overview)
20181
13 201811
14
CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations.
201717
15
A Learning-Based Approach for the Identification of Sexual Predators in Chat Logs.
201221
16 201014
17
University of Santiago de Compostela at CLEF-IP09.
20092
18 200732
19
Query expansion using wordnet with a logical model of information retrieval.
200512
20 20056

About David E. Losada

David E. Losada is a scholar working on Artificial Intelligence, Information Systems and Applied Psychology, having authored 77 papers that have together received 789 indexed citations. Recurring topics across this work include Topic Modeling (26 papers), Information Retrieval and Search Behavior (19 papers), Sentiment Analysis and Opinion Mining (16 papers), Natural Language Processing Techniques (14 papers), Mental Health via Writing (12 papers), Advanced Text Analysis Techniques (10 papers), Semantic Web and Ontologies (10 papers) and Logic, Reasoning, and Knowledge (8 papers). The work is most often cited by research in Artificial Intelligence (528 citations), Applied Psychology (60 citations) and Information Systems (261 citations). David E. Losada has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Álvaro Barreiro, Javier Parapar, Leif Azzopardi, Fábio Crestani, Juan M. Fernández‐Luna, Esteban A. Ríssola, Juan C. Pichel, Pablo Gamallo, Alberto Bugarín and Senén Barro. Their work appears in journals such as Information Processing & Management, Information Retrieval, Language Resources and Evaluation, Information Fusion and Information Sciences.

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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