David E. Losada

102 papers receiving 1.6k citations

Peers

David E. Losada
Comparison fields: 5 of 68
  • Social Psychology 828
  • Information Systems 478
  • Artificial Intelligence 364
  • Health Informatics 21
  • Computational Theory and Mathematics 38
Replace Shoaib Jameel with:
Shoaib Jameel United Kingdom
Raymond Fok United States
Marie‐Jean Meurs Canada
Alon Jacovi Israel
Javier Parapar Spain
Gaël Harry Dias France
Saadia Gabriel United States
Guangchen Ruan United States
Jan Šnajder Croatia
Sho Tsugawa Japan
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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-authors

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

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016191
2 2018136
3 2017117
4 201992
5 201466
6 202163
7 202053
8 201747
9 201645
10 202040
11 200737
12 200532
13 202132
14 201831
15 202031
16 202230
17 202227
18 200826
19
A Learning-Based Approach for the Identification of Sexual Predators in Chat Logs.
201224
20 201924

About David E. Losada

David E. Losada is a scholar working on Information Systems, Social Psychology, Artificial Intelligence, Sociology and Political Science and Management of Technology and Innovation, having authored 113 papers that have together received 1.7k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (46 papers), Mental Health via Writing (37 papers), Sentiment Analysis and Opinion Mining (9 papers), Misinformation and Its Impacts (9 papers), Hate Speech and Cyberbullying Detection (6 papers), Topic Modeling (3 papers), Advanced Bandit Algorithms Research (2 papers) and Fuzzy Logic and Control Systems (2 papers). The work is most often cited by research in Social Psychology (828 citations), Information Systems (478 citations), Artificial Intelligence (364 citations), Health Informatics (21 citations) and Computational Theory and Mathematics (38 citations). David E. Losada has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include Fábio Crestani, Javier Parapar, Álvaro Barreiro, Leif A. Azzopardi, Patricia Martín-Rodilla, Juan C. Pichel, Esteban Andrés Ríssola, Pablo Gamallo, David Elsweiler and Alberto Bugarín. Their work appears in journals such as Lecture notes in computer science, Information Processing & Management, Information Retrieval, Information Fusion 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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