Gema Bello-Orgaz

1.6k total citations · 1 hit paper
26 papers, 1000 citations indexed

About

Gema Bello-Orgaz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Gema Bello-Orgaz has authored 26 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Gema Bello-Orgaz's work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers) and Robotic Path Planning Algorithms (4 papers). Gema Bello-Orgaz is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers) and Robotic Path Planning Algorithms (4 papers). Gema Bello-Orgaz collaborates with scholars based in Spain, United Kingdom and South Korea. Gema Bello-Orgaz's co-authors include David Camacho, Jason J. Jung, María D. R‐Moreno, Cristian Ramirez‐Atencia, Julio Hernández-Castro, Héctor D. Menéndez, Sancho Salcedo‐Sanz, David F. Barrero, Óscar Cordón and Shintaro Okazaki and has published in prestigious journals such as IEEE Access, Information Sciences and Information Fusion.

In The Last Decade

Gema Bello-Orgaz

25 papers receiving 944 citations

Hit Papers

Social big data: Recent a... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gema Bello-Orgaz Spain 12 370 195 191 184 167 26 1000
Hao Lin China 14 411 1.1× 143 0.7× 163 0.9× 107 0.6× 147 0.9× 51 976
Jian Jiao United States 15 659 1.8× 249 1.3× 475 2.5× 224 1.2× 107 0.6× 35 1.3k
Fabrizio Marozzo Italy 19 248 0.7× 120 0.6× 347 1.8× 60 0.3× 94 0.6× 71 949
Sameep Mehta India 17 483 1.3× 173 0.9× 312 1.6× 168 0.9× 168 1.0× 80 1.3k
Il‐Chul Moon South Korea 15 346 0.9× 111 0.6× 196 1.0× 127 0.7× 127 0.8× 90 860
Athanasios Tsakalidis Greece 17 446 1.2× 119 0.6× 478 2.5× 94 0.5× 75 0.4× 111 1.2k
Takao Terano Japan 16 290 0.8× 127 0.7× 140 0.7× 164 0.9× 79 0.5× 188 1.1k
Christos Makris Greece 18 409 1.1× 102 0.5× 402 2.1× 112 0.6× 108 0.6× 122 1.1k
Liliana Ardissono Italy 17 448 1.2× 250 1.3× 647 3.4× 322 1.8× 37 0.2× 101 1.3k
Joel Brynielsson Sweden 17 280 0.8× 233 1.2× 390 2.0× 68 0.4× 80 0.5× 51 946

Countries citing papers authored by Gema Bello-Orgaz

Since Specialization
Citations

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

Fields of papers citing papers by Gema Bello-Orgaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gema Bello-Orgaz. 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 Gema Bello-Orgaz. The network helps show where Gema Bello-Orgaz may publish in the future.

Co-authorship network of co-authors of Gema Bello-Orgaz

This figure shows the co-authorship network connecting the top 25 collaborators of Gema Bello-Orgaz. A scholar is included among the top collaborators of Gema Bello-Orgaz 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 Gema Bello-Orgaz. Gema Bello-Orgaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bello-Orgaz, Gema, et al.. (2026). Smart devices and stress level detection: Balancing machine learning model complexity and device intrusiveness. Biomedical Signal Processing and Control. 117. 109683–109683.
2.
Bello-Orgaz, Gema, et al.. (2022). A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges. Journal of Ambient Intelligence and Humanized Computing. 14(8). 9869–9905. 19 indexed citations
3.
Pedemonte, Martín, et al.. (2022). Addressing Evolutionary-Based Dynamic Problems: A New Methodology for Evaluating Immigrants Strategies in MOGAs. IEEE Access. 10. 27611–27629. 2 indexed citations
4.
Bello-Orgaz, Gema, et al.. (2020). Marketing analysis of wineries using social collective behavior from users’ temporal activity on Twitter. Information Processing & Management. 57(5). 102220–102220. 30 indexed citations
5.
Bello-Orgaz, Gema, et al.. (2020). Analyzing the relationship between relevance and extremist discourse in an alt-right network on Twitter. Social Network Analysis and Mining. 10(1). 14 indexed citations
6.
Camacho, David & Gema Bello-Orgaz. (2019). Special issue on computational intelligence for social mining. Journal of Ambient Intelligence and Humanized Computing. 11(1). 1–3. 19 indexed citations
7.
Bello-Orgaz, Gema, et al.. (2019). A Multi-Objective Genetic Algorithm for detecting dynamic communities using a local search driven immigrant’s scheme. Future Generation Computer Systems. 110. 960–975. 9 indexed citations
8.
Bello-Orgaz, Gema, Sancho Salcedo‐Sanz, & David Camacho. (2018). A Multi-Objective Genetic Algorithm for overlapping community detection based on edge encoding. Information Sciences. 462. 290–314. 41 indexed citations
9.
10.
Bello-Orgaz, Gema, Julio Hernández-Castro, & David Camacho. (2016). Detecting discussion communities on vaccination in twitter. Future Generation Computer Systems. 66. 125–136. 70 indexed citations
11.
Ramirez‐Atencia, Cristian, Gema Bello-Orgaz, María D. R‐Moreno, & David Camacho. (2016). Solving complex multi-UAV mission planning problems using multi-objective genetic algorithms. Soft Computing. 21(17). 4883–4900. 110 indexed citations
12.
Ramirez‐Atencia, Cristian, Gema Bello-Orgaz, María D. R‐Moreno, & David Camacho. (2016). MOGAMR: A Multi-Objective Genetic Algorithm for real-time Mission Replanning. 1–8. 4 indexed citations
13.
Bello-Orgaz, Gema, Jason J. Jung, & David Camacho. (2015). Social big data: Recent achievements and new challenges. Information Fusion. 28. 45–59. 536 indexed citations breakdown →
14.
Bello-Orgaz, Gema, et al.. (2014). Combining social-based data mining techniques to extract collective trends from twitter. Malaysian Journal of Computer Science. 27(2). 95–111. 18 indexed citations
15.
Bello-Orgaz, Gema & David Camacho. (2014). Evolutionary clustering algorithm for community detection using graph-based information. 930–937. 16 indexed citations
16.
Ramirez‐Atencia, Cristian, Gema Bello-Orgaz, María D. R‐Moreno, & David Camacho. (2014). A simple CSP-based model for Unmanned Air Vehicle Mission Planning. Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya). 146–153. 6 indexed citations
17.
Bello-Orgaz, Gema, David F. Barrero, María D. R‐Moreno, & David Camacho. (2013). Acquisition of business intelligence from human experience in route planning. Enterprise Information Systems. 9(3). 303–323. 9 indexed citations
18.
Bello-Orgaz, Gema & David Camacho. (2013). Comparative study of text clustering techniques in virtual worlds. 1–8. 1 indexed citations
19.
Bello-Orgaz, Gema, María D. R‐Moreno, David Camacho, & David F. Barrero. (2012). Clustering avatars behaviours from virtual worlds interactions. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1–1. 22 indexed citations
20.
Bello-Orgaz, Gema, et al.. (2011). A study on the impact of crowd-based voting schemes in the 'Eurovision' European contest. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 9. 1–9. 5 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.

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