Institution | Level | Sector | Country | World Region | Region | Output | Excellence with Leadership | Normalized Impact | Normalized Impact Leadership | Scientific Talent Pool | Scientific Leadership | International Collaboration | High Quality Publications | Excellence | Innovative Knowledge | Technological Impact | Patents | Open Access | Not Own Journals | Own Journals | PlumX | Mendeley |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8051 | 0 | Others | ESP | Western Europe | Madrid | 3 | 1 | 0.64 | 0.64 | 16 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33.33 | 3 | 0 | 1 | 3 |
8052 | 0 | Others | VEN | Latin America | Distrito Capital | 3 | 0 | 0.18 | 0 | 2 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 1 | 2 |
8053 | 0 | Private | PER | Latin America | Lima | 3 | 0 | 0.53 | 0 | 3 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 1 | 3 |
8054 | 0 | Private | COL | Latin America | Valle del Cauca | 3 | 0 | 0.72 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 3 |
8055 | 0 | Government | COL | Latin America | Bogota, D.C. | 3 | 0 | 0 | 0 | 5 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 1 | 1 |
8056 | 0 | Higher educ. | ESP | Western Europe | Madrid | 3 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 100 | 3 | 0 | 0 | 0 |
8057 | 0 | Private | DOM | Latin America | Santo Domingo | 3 | 0 | 0 | 0 | 2 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 0 | 2 |
8058 | 0 | Others | ESP | Western Europe | La Rioja | 3 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 1 | 1 |
8059 | 1 | Private | BRA | Latin America | Sao Paulo | 3 | 0 | 1.09 | 0 | 3 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 33.33 | 3 | 0 | 1 | 3 |
8060 | 1 | Private | BRA | Latin America | Minas Gerais | 3 | 0 | 0.30 | 0.45 | 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 3 |
8061 | 0 | Government | COL | Latin America | Bogota, D.C. | 3 | 0 | 0.10 | 0 | 13 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 2 | 3 |
8062 | 0 | Private | BRA | Latin America | Rio de Janeiro | 3 | 0 | 0.26 | 0.39 | 9 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 0 | 2 |
8063 | 1 | Private | ESP | Western Europe | Madrid | 3 | 0 | 0.38 | 0 | 2 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 1 | 3 |
8064 | 1 | Health | MEX | Latin America | Queretaro de Arteaga | 3 | 0 | 0.57 | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 3 |
8065 | 1 | Health | MEX | Latin America | Sinaloa | 3 | 0 | 1.72 | 0 | 2 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 100 | 3 | 0 | 1 | 3 |
8066 | 0 | Health | COL | Latin America | Tolima | 3 | 0 | 0.88 | 0 | 2 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 100 | 3 | 0 | 2 | 3 |
8067 | 0 | Health | PRT | Western Europe | Norte | 3 | 0 | 0.90 | 0 | 3 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 0 | 3 |
8068 | 1 | Private | ESP | Western Europe | Catalonia | 3 | 1 | 0.47 | 0.70 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 66.67 | 3 | 0 | 2 | 3 |
8069 | 0 | Others | CHL | Latin America | Metropolitana de Santiago | 3 | 0 | 0.14 | 0 | 1 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 2 | 3 |
8070 | 1 | Others | PRY | Latin America | Asuncion D.C. | 3 | 0 | 2.34 | 1.57 | 1 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 66.67 | 3 | 0 | 3 | 2 |
8071 | 1 | Others | PAN | Latin America | Panama | 3 | 0 | 0.75 | 0 | 5 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 100 | 3 | 0 | 3 | 3 |
8072 | 0 | Government | GTM | Latin America | Guatemala | 3 | 0 | 0.95 | 0 | 1 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 1 | 3 |
8073 | 0 | Higher educ. | PER | Latin America | Lima | 3 | 0 | 0.04 | 0.13 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 0 | 3 |
8074 | 0 | Higher educ. | NIC | Latin America | Esteli | 3 | 0 | 0.15 | 0 | 5 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 1 | 3 |
8075 | 0 | Higher educ. | CRI | Latin America | San Jose | 3 | 0 | 0.21 | 0.64 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 2 | 2 |
8076 | 0 | Higher educ. | CRI | Latin America | San Jose | 3 | 0 | 0.11 | 0.23 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 1 | 2 |
8077 | 0 | Higher educ. | MEX | Latin America | Tamaulipas | 3 | 0 | 0.84 | 0 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 1 | 1 |
8078 | 0 | Higher educ. | MEX | Latin America | Baja California Norte | 3 | 0 | 0.08 | 0.12 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 1 | 3 |
8079 | 0 | Higher educ. | CHL | Latin America | Valparaíso | 3 | 0 | 0.50 | 0 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 1 | 3 |
8080 | 0 | Higher educ. | ECU | Latin America | Guayas | 3 | 0 | 0.06 | 0.10 | 3 | 2 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 3 |
8081 | 0 | Higher educ. | DOM | Latin America | Distrito Nacional | 3 | 0 | 10.25 | 0 | 1 | 0 | 3 | 3 | 3 | 0 | 0 | 0 | 100 | 3 | 0 | 3 | 3 |
8082 | 0 | Higher educ. | CRI | Latin America | San Jose | 3 | 0 | 0.07 | 0 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 0 | 3 |
8083 | 0 | Higher educ. | SLV | Latin America | San Miguel | 3 | 0 | 0.52 | 0.52 | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 2 | 3 |
8084 | 0 | Higher educ. | NIC | Latin America | Rivas | 3 | 0 | 0.18 | 0 | 1 | 0 | 3 | 2 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 3 | 3 |
8085 | 0 | Higher educ. | NIC | Latin America | Managua | 3 | 0 | 0.62 | 0 | 5 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 2 | 3 |
8086 | 0 | Higher educ. | PER | Latin America | Lima | 3 | 0 | 0.12 | 0 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 1 | 1 |
8087 | 0 | Higher educ. | VEN | Latin America | Zulia | 3 | 0 | 0.64 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 0 | 2 |
8088 | 0 | Higher educ. | MEX | Latin America | Queretaro de Arteaga | 3 | 0 | 0.28 | 0.34 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 0 | 3 |
8089 | 0 | Higher educ. | VEN | Latin America | Distrito Capital | 3 | 0 | 0.19 | 0 | 3 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 100 | 3 | 0 | 2 | 2 |
8090 | 0 | Higher educ. | PRY | Latin America | Neembucu | 3 | 0 | 0.04 | 0 | 6 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 3 | 0 | 1 | 3 |
8091 | 0 | Higher educ. | VEN | Latin America | Distrito Capital | 3 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 0 | 2 |
8092 | 0 | Higher educ. | PER | Latin America | Amazonas | 3 | 0 | 0.06 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 1 | 2 |
8093 | 0 | Higher educ. | VEN | Latin America | Aragua | 3 | 0 | 0.36 | 0 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 0 | 1 |
8094 | 0 | Higher educ. | VEN | Latin America | Falcon | 3 | 0 | 0.39 | 0.51 | 4 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 1 | 2 |
8095 | 0 | Higher educ. | BOL | Latin America | Cochabamba | 3 | 0 | 0.08 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 3 | 0 | 1 | 3 |
8096 | 0 | Higher educ. | PER | Latin America | Arequipa | 3 | 0 | 0.07 | 0 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 0 | 1 |
8097 | 0 | Higher educ. | BOL | Latin America | La Paz | 3 | 0 | 0.21 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 0 | 3 |
8098 | 0 | Higher educ. | GTM | Latin America | Guatemala | 3 | 0 | 0.37 | 0.37 | 2 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 0 | 3 |
8099 | 0 | Higher educ. | HND | Latin America | Cortes | 3 | 0 | 2.58 | 0 | 3 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 100 | 3 | 0 | 0 | 2 |
8100 | 0 | Higher educ. | MEX | Latin America | Nayarit | 3 | 0 | 0.58 | 0 | 6 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 0 | 3 |