Mario Jojoa

465 total citations
14 papers, 291 citations indexed

About

Mario Jojoa is a scholar working on Artificial Intelligence, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Mario Jojoa has authored 14 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Clinical Psychology and 3 papers in Sociology and Political Science. Recurrent topics in Mario Jojoa's work include Misinformation and Its Impacts (3 papers), COVID-19 and Mental Health (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Mario Jojoa is often cited by papers focused on Misinformation and Its Impacts (3 papers), COVID-19 and Mental Health (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Mario Jojoa collaborates with scholars based in Spain, Colombia and Venezuela. Mario Jojoa's co-authors include Begonya García-Zapirain, Winston Percybrooks, Esther Lázaro, Marino González, Flávio Comim, Isabel de la Torre Díez, Manuel Franco, Behdin Nowrouzi‐Kia, Bernardo Perez-Villa and Chandan J. Vaidya and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Journal of Clinical Medicine and International Journal of Mental Health and Addiction.

In The Last Decade

Mario Jojoa

13 papers receiving 275 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mario Jojoa Spain 8 156 131 46 41 32 14 291
Maria Haritou Greece 10 63 0.4× 17 0.1× 61 1.3× 32 0.8× 21 0.7× 30 332
Stephan Kiefer Germany 11 70 0.4× 27 0.2× 30 0.7× 13 0.3× 44 1.4× 34 358
Viswanatha Reddy Allugunti India 2 98 0.6× 57 0.4× 19 0.4× 24 0.6× 4 0.1× 5 232
Hamid Bouraghi Iran 9 56 0.4× 11 0.1× 9 0.2× 53 1.3× 25 0.8× 24 248
Gizeaddis Lamesgin Simegn Ethiopia 10 89 0.6× 33 0.3× 34 0.7× 29 0.7× 2 0.1× 34 322
Changgee Chang United States 8 58 0.4× 18 0.1× 9 0.2× 12 0.3× 41 1.3× 23 272
Peisong Han United States 14 67 0.4× 21 0.2× 16 0.3× 4 0.1× 48 1.5× 53 703
Gregg Willcox United States 7 79 0.5× 9 0.1× 14 0.3× 19 0.5× 3 0.1× 22 252
Eugenio Alberdi United Kingdom 10 171 1.1× 29 0.2× 6 0.1× 37 0.9× 2 0.1× 20 456
Mark Goldstein United States 7 49 0.3× 116 0.9× 18 0.4× 7 0.2× 3 0.1× 17 279

Countries citing papers authored by Mario Jojoa

Since Specialization
Citations

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

Fields of papers citing papers by Mario Jojoa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Jojoa

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Jojoa. A scholar is included among the top collaborators of Mario Jojoa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Jojoa. Mario Jojoa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
3.
Jojoa, Mario, et al.. (2022). Are AI systems biased against the poor? A machine learning analysis using Word2Vec and GloVe embeddings. AI & Society. 39(2). 617–632. 25 indexed citations
4.
Jojoa, Mario, et al.. (2022). Application of Machine Learning Techniques to Help in the Feature Selection Related to Hospital Readmissions of Suicidal Behavior. International Journal of Mental Health and Addiction. 22(1). 216–237. 6 indexed citations
5.
Jojoa, Mario, et al.. (2022). Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques. International Journal of Environmental Research and Public Health. 19(9). 5705–5705. 5 indexed citations
6.
Jojoa, Mario, Begonya García-Zapirain, & Winston Percybrooks. (2022). A Fair Performance Comparison between Complex-Valued and Real-Valued Neural Networks for Disease Detection. Diagnostics. 12(8). 1893–1893. 3 indexed citations
7.
Jojoa, Mario, et al.. (2021). Sentiment Analysis Techniques Applied to Raw-Text Data from a Csq-8 Questionnaire about Mindfulness in Times of COVID-19 to Improve Strategy Generation. International Journal of Environmental Research and Public Health. 18(12). 6408–6408. 14 indexed citations
8.
Jojoa, Mario, et al.. (2021). Melanoma diagnosis using deep learning techniques on dermatoscopic images. BMC Medical Imaging. 21(1). 6–6. 160 indexed citations
9.
Jojoa, Mario, et al.. (2021). Executive Functioning in Adults with Down Syndrome: Machine-Learning-Based Prediction of Inhibitory Capacity. International Journal of Environmental Research and Public Health. 18(20). 10785–10785. 12 indexed citations
10.
Jojoa, Mario, et al.. (2021). The Impact of COVID 19 on University Staff and Students from Iberoamerica: Online Learning and Teaching Experience. International Journal of Environmental Research and Public Health. 18(11). 5820–5820. 28 indexed citations
11.
Jojoa, Mario, et al.. (2020). Optimized neural networks in industrial data analysis. SN Applied Sciences. 2(2). 8 indexed citations
12.
Jojoa, Mario & Begonya García-Zapirain. (2020). Machine Learning Algorithms for Forecasting COVID 19 Confirmed Cases in America. 16. 1–6. 2 indexed citations
13.
Jojoa, Mario, et al.. (2020). Deep Learning Applied to Forest Fire Detection. 1–6. 17 indexed citations
14.
Jojoa, Mario, et al.. (2018). Classification of Hosts in a WLAN Based on Support Vector Machine. 3. 1–6. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026