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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2651 | 0 | Others | PER | Latin America | Lima | 88 | 4 | 1.14 | 0.91 | 29 | 40 | 82 | 50 | 13 | 0 | 0 | 0 | 62.50 | 88 | 0 | 61 | 78 |
2652 | 0 | Others | ESP | Western Europe | Madrid | 88 | 7 | 2.13 | 1.06 | 127 | 40 | 21 | 62 | 18 | 2 | 2.27 | 0 | 72.73 | 88 | 0 | 64 | 85 |
2653 | 0 | Higher educ. | MEX | Latin America | Oaxaca | 88 | 0 | 0.71 | 0.65 | 58 | 35 | 12 | 16 | 3 | 0 | 0 | 1 | 69.32 | 88 | 0 | 32 | 74 |
2654 | 0 | Higher educ. | SLV | Latin America | San Salvador | 88 | 5 | 1.23 | 0.88 | 72 | 62 | 48 | 3 | 6 | 0 | 0 | 0 | 18.18 | 88 | 0 | 14 | 49 |
2655 | 0 | Higher educ. | PER | Latin America | Apurimac | 88 | 1 | 0.54 | 0.54 | 88 | 54 | 9 | 16 | 2 | 0 | 0 | 0 | 55.68 | 88 | 0 | 6 | 70 |
2656 | 0 | Higher educ. | MEX | Latin America | Morelos | 88 | 0 | 0.95 | 0.37 | 71 | 15 | 11 | 28 | 10 | 1 | 1.18 | 0 | 38.64 | 88 | 0 | 29 | 70 |
2657 | 0 | Higher educ. | COL | Latin America | Choco | 88 | 1 | 0.61 | 0.21 | 83 | 33 | 46 | 34 | 7 | 0 | 0 | 0 | 71.59 | 88 | 0 | 27 | 73 |
2658 | 2 | Health | ESP | Western Europe | Aragon | 87 | 4 | 1.09 | 0.67 | 30 | 41 | 18 | 56 | 14 | 0 | 0 | 0 | 62.07 | 87 | 0 | 63 | 81 |
2659 | 0 | Higher educ. | BRA | Latin America | Sao Paulo | 87 | 1 | 0.61 | 0.71 | 85 | 28 | 18 | 20 | 5 | 0 | 0 | 0 | 62.07 | 87 | 0 | 19 | 78 |
2660 | 1 | Health | ESP | Western Europe | Madrid | 87 | 3 | 1.76 | 1.28 | 98 | 33 | 35 | 47 | 18 | 0 | 0 | 0 | 67.82 | 87 | 0 | 44 | 80 |
2661 | 1 | Health | ESP | Western Europe | Catalonia | 87 | 3 | 1.59 | 0.65 | 69 | 42 | 45 | 46 | 16 | 4 | 4.71 | 0 | 51.72 | 87 | 0 | 51 | 81 |
2662 | 0 | Health | CHL | Latin America | Metropolitana de Santiago | 87 | 0 | 5.63 | 0.20 | 87 | 23 | 45 | 34 | 20 | 3 | 3.45 | 0 | 80.46 | 87 | 0 | 41 | 74 |
2663 | 0 | Higher educ. | VEN | Latin America | Distrito Capital | 87 | 1 | 0.35 | 0.13 | 74 | 53 | 37 | 8 | 5 | 0 | 0 | 0 | 60.92 | 87 | 0 | 14 | 56 |
2664 | 0 | Others | BRA | Latin America | Pernambuco | 86 | 0 | 0.40 | 0.41 | 113 | 62 | 16 | 6 | 1 | 0 | 0 | 0 | 24.42 | 86 | 0 | 10 | 65 |
2665 | 0 | Private | PRT | Western Europe | Lisboa | 86 | 1 | 0.65 | 0.20 | 114 | 33 | 28 | 21 | 3 | 0 | 0 | 0 | 62.79 | 86 | 0 | 19 | 76 |
2666 | 0 | Government | ARG | Latin America | Tucuman | 86 | 1 | 0.38 | 0.46 | 97 | 41 | 36 | 43 | 2 | 2 | 2.35 | 3 | 52.33 | 86 | 0 | 32 | 79 |
2667 | 1 | Others | ESP | Western Europe | Catalonia | 86 | 2 | 1.29 | 0.84 | 41 | 27 | 63 | 44 | 9 | 5 | 7.81 | 0 | 46.51 | 86 | 0 | 27 | 58 |
2668 | 1 | Higher educ. | BRA | Latin America | Minas Gerais | 86 | 0 | 0.50 | 0.34 | 74 | 23 | 16 | 23 | 4 | 1 | 1.30 | 0 | 58.14 | 86 | 0 | 29 | 81 |
2669 | 0 | Health | BRA | Latin America | Rio de Janeiro | 86 | 4 | 0.67 | 0.86 | 67 | 37 | 43 | 26 | 7 | 0 | 0 | 0 | 54.65 | 86 | 0 | 19 | 73 |
2670 | 0 | Health | PER | Latin America | Lima | 86 | 2 | 2.53 | 0.58 | 77 | 22 | 31 | 24 | 8 | 2 | 2.38 | 0 | 79.07 | 86 | 0 | 32 | 69 |
2671 | 0 | Health | BRA | Latin America | Bahia | 86 | 0 | 3.74 | 0.26 | 97 | 33 | 24 | 30 | 7 | 2 | 2.33 | 0 | 75.58 | 86 | 0 | 36 | 78 |
2672 | 1 | Health | BRA | Latin America | Sao Paulo | 86 | 0 | 1.45 | 0.46 | 118 | 32 | 36 | 35 | 10 | 0 | 0 | 0 | 65.12 | 86 | 0 | 29 | 74 |
2673 | 1 | Health | ESP | Western Europe | Madrid | 86 | 2 | 0.96 | 0.33 | 82 | 36 | 18 | 27 | 10 | 0 | 0 | 0 | 50 | 86 | 0 | 41 | 75 |
2674 | 1 | Government | ARG | Latin America | Buenos Aires | 86 | 0 | 0.36 | 0.30 | 37 | 43 | 49 | 30 | 1 | 1 | 1.18 | 0 | 48.84 | 86 | 0 | 20 | 61 |
2675 | 0 | Higher educ. | COL | Latin America | Atlantico | 86 | 1 | 0.87 | 0.87 | 64 | 36 | 48 | 6 | 8 | 0 | 0 | 0 | 59.30 | 86 | 0 | 11 | 73 |
2676 | 0 | Health | ESP | Western Europe | Murcia | 86 | 3 | 0.42 | 0.42 | 25 | 86 | 62 | 3 | 3 | 0 | 0 | 0 | 5.81 | 86 | 0 | 78 | 82 |
2677 | 0 | Health | BRA | Latin America | Parana | 86 | 1 | 2.65 | 0.33 | 87 | 51 | 18 | 28 | 10 | 1 | 1.16 | 0 | 72.09 | 86 | 0 | 28 | 67 |
2678 | 0 | Government | ARG | Latin America | Buenos Aires | 86 | 0 | 0.67 | 0.30 | 89 | 16 | 33 | 52 | 3 | 3 | 3.49 | 0 | 61.63 | 86 | 0 | 39 | 80 |
2679 | 0 | Higher educ. | MEX | Latin America | Puebla | 86 | 2 | 0.40 | 0.30 | 77 | 43 | 32 | 28 | 4 | 0 | 0 | 0 | 54.65 | 86 | 0 | 29 | 67 |
2680 | 0 | Higher educ. | ARG | Latin America | Cordoba | 86 | 5 | 1.04 | 1.08 | 39 | 45 | 60 | 36 | 13 | 0 | 0 | 0 | 67.44 | 86 | 0 | 46 | 77 |
2681 | 0 | Government | ARG | Latin America | Buenos Aires | 85 | 0 | 0.77 | 0.53 | 59 | 16 | 34 | 40 | 4 | 0 | 0 | 0 | 48.24 | 85 | 0 | 34 | 71 |
2682 | 1 | Health | CUB | Latin America | La Habana | 85 | 0 | 0.26 | 0.23 | 57 | 49 | 10 | 1 | 1 | 0 | 0 | 0 | 51.76 | 32 | 15 | 6 | 51 |
2683 | 0 | Higher educ. | BRA | Latin America | Minas Gerais | 85 | 0 | 0.45 | 0.28 | 132 | 34 | 12 | 15 | 3 | 0 | 0 | 0 | 72.94 | 85 | 0 | 15 | 64 |
2684 | 0 | Health | BRA | Latin America | Amazonas | 85 | 0 | 0.71 | 0.44 | 61 | 32 | 23 | 24 | 4 | 0 | 0 | 0 | 85.88 | 85 | 0 | 39 | 79 |
2685 | 0 | Government | ARG | Latin America | Buenos Aires | 85 | 3 | 0.81 | 0.64 | 70 | 61 | 26 | 44 | 6 | 0 | 0 | 0 | 57.65 | 85 | 0 | 34 | 65 |
2686 | 1 | Health | PER | Latin America | Callao | 85 | 0 | 2.79 | 0.16 | 107 | 15 | 39 | 30 | 8 | 3 | 3.53 | 0 | 78.82 | 85 | 0 | 39 | 71 |
2687 | 0 | Health | CHL | Latin America | Los Lagos | 85 | 1 | 0.58 | 0.16 | 104 | 21 | 45 | 27 | 8 | 0 | 0 | 0 | 65.88 | 85 | 0 | 40 | 70 |
2688 | 0 | Health | CHL | Latin America | Metropolitana de Santiago | 85 | 1 | 0.44 | 0.33 | 103 | 44 | 21 | 21 | 4 | 1 | 1.19 | 0 | 70.59 | 85 | 0 | 16 | 72 |
2689 | 0 | Health | MEX | Latin America | Mexico City | 85 | 0 | 0.51 | 0.39 | 70 | 23 | 21 | 33 | 2 | 0 | 0 | 0 | 64.71 | 85 | 0 | 49 | 75 |
2690 | 0 | Health | BRA | Latin America | Rio Grande do Sul | 85 | 1 | 3.02 | 0.49 | 110 | 18 | 30 | 30 | 8 | 1 | 1.20 | 0 | 75.29 | 85 | 0 | 36 | 72 |
2691 | 0 | Higher educ. | ECU | Latin America | Pichincha | 85 | 4 | 0.61 | 0.63 | 62 | 62 | 38 | 23 | 4 | 0 | 0 | 0 | 65.88 | 85 | 0 | 26 | 62 |
2692 | 1 | Government | ARG | Latin America | Buenos Aires | 85 | 1 | 1.46 | 0.59 | 86 | 41 | 23 | 62 | 5 | 2 | 2.41 | 0 | 65.88 | 85 | 0 | 50 | 77 |
2693 | 2 | Government | ARG | Latin America | Cordoba | 85 | 2 | 0.68 | 0.54 | 64 | 46 | 33 | 51 | 4 | 1 | 1.30 | 0 | 43.53 | 85 | 0 | 43 | 75 |
2694 | 0 | Health | PER | Latin America | Lima | 85 | 2 | 0.76 | 0.30 | 117 | 30 | 38 | 26 | 7 | 1 | 1.19 | 0 | 68.24 | 85 | 0 | 31 | 71 |
2695 | 0 | Government | CUB | Latin America | La Habana | 85 | 0 | 0.45 | 0.24 | 126 | 23 | 55 | 19 | 2 | 0 | 0 | 0 | 43.53 | 85 | 0 | 21 | 59 |
2696 | 0 | Higher educ. | COL | Latin America | Risaralda | 85 | 0 | 0.33 | 0.19 | 71 | 41 | 33 | 15 | 4 | 0 | 0 | 5 | 68.24 | 85 | 0 | 23 | 65 |
2697 | 0 | Higher educ. | COL | Latin America | Bogota, D.C. | 85 | 3 | 0.53 | 0.47 | 89 | 42 | 38 | 17 | 6 | 1 | 1.28 | 4 | 65.88 | 85 | 0 | 15 | 73 |
2698 | 0 | Health | BRA | Latin America | Minas Gerais | 84 | 5 | 0.84 | 0.84 | 83 | 54 | 37 | 44 | 8 | 0 | 0 | 0 | 53.57 | 84 | 0 | 33 | 77 |
2699 | 1 | Government | ARG | Latin America | Buenos Aires | 84 | 3 | 0.62 | 0.65 | 52 | 55 | 31 | 33 | 5 | 0 | 0 | 0 | 46.43 | 84 | 0 | 13 | 73 |
2700 | 0 | Health | ESP | Western Europe | Catalonia | 84 | 1 | 0.62 | 0.52 | 68 | 46 | 29 | 41 | 4 | 0 | 0 | 1 | 30.95 | 84 | 0 | 25 | 79 |