Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A teoria subjacente aos mapas conceituais e como elabora-los e usa-los
2010671 citationsJoseph D. Novak, Alberto J. Cañasprofile →
Countries citing papers authored by Alberto J. Cañas
Since
Specialization
Citations
This map shows the geographic impact of Alberto J. Cañas'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 Alberto J. Cañas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto J. Cañas more than expected).
Fields of papers citing papers by Alberto J. Cañas
This network shows the impact of papers produced by Alberto J. Cañas. 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 Alberto J. Cañas. The network helps show where Alberto J. Cañas may publish in the future.
Co-authorship network of co-authors of Alberto J. Cañas
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto J. Cañas.
A scholar is included among the top collaborators of Alberto J. Cañas 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 Alberto J. Cañas. Alberto J. Cañas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cañas, Alberto J. & Joseph D. Novak. (2014). Qué es un mapa conceptual. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 54–57.1 indexed citations
3.
Cañas, Alberto J., Larry Bunch, Joseph D. Novak, & Priit Reiska. (2013). Cmapanalysis: an extensible concept map analysis tool. SHILAP Revista de lepidopterología. 4(1). 36–46.34 indexed citations
Cañas, Alberto J., et al.. (2006). Concepciones sobre Mapas Conceptuales de los Docentes Panameños. SHILAP Revista de lepidopterología. 5(1). 13–23.1 indexed citations
7.
Cañas, Alberto J. & Marco Carvalho. (2004). Concept Maps and AI: an Unlikely Marriage?. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE). 1(1). 1–10.16 indexed citations
8.
Novak, Joseph D. & Alberto J. Cañas. (2004). Construyendo sobre Nuevas Ideas Constructivistas y la Herramienta CmapTools para Crear un Nuevo Modelo para Educación. 31–46.3 indexed citations
9.
Derbentseva, Natalia, Frank Safayeni, & Alberto J. Cañas. (2004). Experiments on the effect of map structure and concept quantification during concept map construction. 209–216.25 indexed citations
Leake, David, Ana Gabriela Maguitman, & Alberto J. Cañas. (2002). Assessing Conceptual Similarity to Support Concept Mapping. The Florida AI Research Society. 168–172.24 indexed citations
Cañas, Alberto J., et al.. (2001). Online Concept Maps: Enhancing Collaborative Learning by Using Technology with Concept Maps. The Science Teacher. 68(4). 49–51.37 indexed citations
14.
Coffey, John W. & Alberto J. Cañas. (2001). Tools to Foster Course and Content Reuse in Online Instructional Systems.. WebNet. 207–213.3 indexed citations
15.
Cañas, Alberto J., David Leake, & Ana Gabriela Maguitman. (2001). Combining Concept Mapping with CBR: Towards Experience-Based Support for Knowledge Modeling. The Florida AI Research Society. 286–290.19 indexed citations
16.
Suri, Niranjan, Kenneth M. Ford, & Alberto J. Cañas. (1998). An Architecture for Smart Internet Agents. The Florida AI Research Society. 116–120.4 indexed citations
17.
Reichherzer, Thomas, Alberto J. Cañas, Kenneth M. Ford, & Patrick J. Hayes. (1998). The Giant: An Agent-Based Approach to Knowledge Construction and Sharing. The Florida AI Research Society. 136–140.4 indexed citations
18.
Cañas, Alberto J., John W. Coffey, Thomas Reichherzer, et al.. (1998). El-Tech: A Performance Support System with Embedded Training for Electronics Technicians. The Florida AI Research Society. 79–83.15 indexed citations
19.
Cañas, Alberto J.. (1987). Resumen cartelera teatral 1986. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 11–15.
20.
Cañas, Alberto J.. (1982). Los pocos sabios. Americanae (AECID Library).
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.