Marco Moreno-Ibarra

1.2k total citations
55 papers, 751 citations indexed

About

Marco Moreno-Ibarra is a scholar working on Signal Processing, Artificial Intelligence and Geography, Planning and Development. According to data from OpenAlex, Marco Moreno-Ibarra has authored 55 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 14 papers in Artificial Intelligence and 13 papers in Geography, Planning and Development. Recurrent topics in Marco Moreno-Ibarra's work include Data Management and Algorithms (14 papers), Geographic Information Systems Studies (13 papers) and Human Mobility and Location-Based Analysis (7 papers). Marco Moreno-Ibarra is often cited by papers focused on Data Management and Algorithms (14 papers), Geographic Information Systems Studies (13 papers) and Human Mobility and Location-Based Analysis (7 papers). Marco Moreno-Ibarra collaborates with scholars based in Mexico, Spain and United States. Marco Moreno-Ibarra's co-authors include Paloma Frutos, Miguel Torres-Ruiz, M. Paloma Ballesteros, Giovanni Guzmán, Rolando Quintero, Kerry L. Coburn, Cornelio Yáñez-Márquéz, Yenny Villuendas-Rey, Paloma Ballesteros and Miltiadis D. Lytras and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.

In The Last Decade

Marco Moreno-Ibarra

52 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Moreno-Ibarra Mexico 16 153 122 83 69 67 55 751
Juan A. Holgado-Terriza Spain 20 24 0.2× 105 0.9× 118 1.4× 10 0.1× 166 2.5× 67 1.1k
Jingyuan Hu China 15 95 0.6× 70 0.6× 274 3.3× 24 0.3× 103 1.5× 34 975
Wentao Chen China 17 61 0.4× 216 1.8× 206 2.5× 100 1.4× 111 1.7× 75 973
Zhengyu Chen China 16 14 0.1× 157 1.3× 38 0.5× 47 0.7× 77 1.1× 90 816
Zhen Zhang China 23 16 0.1× 74 0.6× 72 0.9× 13 0.2× 37 0.6× 124 1.6k
Shivam Agarwal India 10 104 0.7× 152 1.2× 8 0.1× 11 0.2× 38 0.6× 42 431
Timothy M. Brenza United States 11 46 0.3× 125 1.0× 16 0.2× 85 1.2× 14 0.2× 14 904
Yujia Qin China 16 19 0.1× 425 3.5× 59 0.7× 23 0.3× 129 1.9× 41 1.0k
Andrey Bogomolov Russia 19 15 0.1× 80 0.7× 9 0.1× 47 0.7× 38 0.6× 56 1.1k
Nouf M. Alzahrani Saudi Arabia 10 27 0.2× 86 0.7× 11 0.1× 82 1.2× 140 2.1× 15 563

Countries citing papers authored by Marco Moreno-Ibarra

Since Specialization
Citations

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

Fields of papers citing papers by Marco Moreno-Ibarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Moreno-Ibarra. 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 Marco Moreno-Ibarra. The network helps show where Marco Moreno-Ibarra may publish in the future.

Co-authorship network of co-authors of Marco Moreno-Ibarra

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Moreno-Ibarra. A scholar is included among the top collaborators of Marco Moreno-Ibarra 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 Marco Moreno-Ibarra. Marco Moreno-Ibarra 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.
Moreno-Ibarra, Marco, et al.. (2024). Cooperative Robotic Path Planning for Comprehensive Bridge Inspection with LiDAR Technology: Navigating Unknown Structures. The UWS Academic Portal (University of the West of Scotland). 1–7. 1 indexed citations
2.
Torres-Ruiz, Miguel, et al.. (2021). Traffic Congestion Analysis Based on a Web-GIS and Data Mining of Traffic Events from Twitter. Sensors. 21(9). 2964–2964. 18 indexed citations
3.
Moreno-Ibarra, Marco, Huiyan Huang, Hyori Kim, et al.. (2019). CemOrange2 fusions facilitate multifluorophore subcellular imaging in C. elegans. PLoS ONE. 14(3). e0214257–e0214257. 12 indexed citations
4.
Quintero, Rolando, et al.. (2018). DIS-C: conceptual distance in ontologies, a graph-based approach. Knowledge and Information Systems. 59(1). 33–65. 11 indexed citations
5.
Moreno-Ibarra, Marco, et al.. (2017). Factores de riesgo asociados a bajo peso al nacimiento. 83(4). 122–128. 1 indexed citations
6.
Torres-Ruiz, Miguel, et al.. (2017). A cross-domain framework for designing healthcare mobile applications mining social networks to generate recommendations of training and nutrition planning. Telematics and Informatics. 35(4). 837–853. 23 indexed citations
7.
Salazar, Juan Carlos, Miguel Torres-Ruiz, Clodoveu A. Davis, & Marco Moreno-Ibarra. (2015). Geocoding of traffic-related events from Twitter.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 14–25. 1 indexed citations
8.
Sidorov, Grigori, et al.. (2015). Latent Dirichlet Allocation complement in the vector space model for Multi-Label Text Classification. 6(1). 7–19. 12 indexed citations
9.
Chávez, Edgar, et al.. (2015). A probabilistic approach to location estimation in MANETs. Ad Hoc & Sensor Wireless Networks. 28. 97–114. 9 indexed citations
10.
Quintero, Rolando, et al.. (2013). Comparación semántica de conjuntos de datos geográficos conceptualizados pormedio de ontologías. Computación y Sistemas. 17(4). 569–581. 2 indexed citations
11.
Quintero, Rolando, et al.. (2012). Specialization of the Geomorphometric Concepts in Digital Elevation Models. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 3(2). 44–53. 1 indexed citations
12.
Moreno-Ibarra, Marco, et al.. (2012). Semantic assessment of similarity between raster elevation datasets. Revista Facultad de Ingeniería Universidad de Antioquia. 37–46. 3 indexed citations
13.
Moreno-Ibarra, Marco. (2008). Similitud Semántica entre Sistemas de Objetos Geográficos Aplicada a la Generalización de Datos Geoespaciales. Computación y Sistemas. 12(2). 232–241. 1 indexed citations
14.
15.
Moreno-Ibarra, Marco, et al.. (2004). GIS ─ Application To Make GeomorphometricAnalysis In Raster Data. WIT transactions on information and communication technologies. 32. 1 indexed citations
16.
Torres-Ruiz, Miguel, et al.. (2003). Making Spatial Analysis with a Distributed Geographical Information System.. Applied Informatics. 1245–1250. 2 indexed citations
17.
Moreno-Ibarra, Marco, et al.. (2002). Amphotericin B in Oil–Water Lecithin-Based Microemulsions: Formulation and Toxicity Evaluation. Journal of Pharmaceutical Sciences. 91(4). 1178–1185. 64 indexed citations
18.
Moreno-Ibarra, Marco, et al.. (2001). First-derivative spectrophotometric and LC determination of nifedipine in Brij® 96 based oil/water/oil multiple microemulsions on stability studies. Journal of Pharmaceutical and Biomedical Analysis. 26(4). 563–572. 13 indexed citations
19.
Moreno-Ibarra, Marco, Pilar Frutos, & M. Paloma Ballesteros. (1998). Extraction and liquid-chromatographic determination of amphotericin B in oil-water lecithin-based microemulsions. Chromatographia. 48(11-12). 803–806. 10 indexed citations
20.
Coburn, Kerry L. & Marco Moreno-Ibarra. (1988). Facts and artifacts in brain electrical activity mapping. Brain Topography. 1(1). 37–45. 35 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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