The most productive scientific disciplines occurring in the top 1–5 positions in the most efficient cities | Frequency of occurrence in the 1–5 positions in percentage | The most productive scientific disciplines occurring in the top 1–5 positions in the least efficient cities | Frequency of occurrence in the 1–5 positions in percentage | |
---|---|---|---|---|
1 | Science, Technology, and Other Topics | 91 | Science, Technology, and Other | 74 |
Topics | ||||
2 | Physics | 69 | Chemistry | 66 |
3 | General Internal Medicine | 69 | Physics | 56 |
4 | Astronomy and Astrophysics | 54 | Engineering | 54 |
5 | Oncology | 42 | General Internal Medicine | 37 |
6 | Chemistry | 28 | Materials Science | 37 |
7 | Cardiovascular System and Cardiology | 21 | Astronomy and Astrophysics | 25 |
8 | Biochemistry and Molecular Biology | 18 | Environmental Sciences and Ecology | 20 |
9 | Environmental Sciences and Ecology | 15 | Oncology | 20 |
10 | Neurosciences and Neurology | 14 | Mathematics | 17 |
Rank | Country | City | Efficiency |
---|---|---|---|
1 | Tunisia | Sfax | 0.132 |
2 | Russia | Yekaterinburg | 0.161 |
3 | South Korea | Cheonan | 0.260 |
4 | Iran | Shiraz | 0.268 |
5 | Romania | Iași | 0.273 |
6 | India | Kharagpur | 0.283 |
7 | China | Mianyang | 0.325 |
8 | Poland | Lublin | 0.333 |
9 | Brazil | São Carlos | 0.333 |
10 | China | Wenzhou | 0.348 |
11 | India | Varanasi | 0.399 |
12 | China | Shijiazhuang | 0.416 |
13 | South Korea | Cheongju | 0.424 |
14 | Japan | Gifu | 0.436 |
15 | Iran | Tabriz | 0.444 |
16 | Chile | Concepción | 0.452 |
17 | Brazil | Curitiba | 0.454 |
18 | Japan | Kumamoto | 0.456 |
19 | Malaysia | Serdang | 0.462 |
20 | Tunisia | Tunis | 0.484 |
21 | Egypt | Giza | 0.487 |
22 | China | Nantong | 0.494 |
23 | Israel | Beer-Sheva | 0.501 |
24 | Japan | Ibaraki | 0.503 |
25 | India | Kanpur | 0.513 |
26 | China | Baoding | 0.516 |
27 | Turkey | Konya | 0.535 |
28 | South Korea | Busan | 0.537 |
29 | Iran | Tehran | 0.550 |
30 | China | Shenyang | 0.551 |
31 | Egypt | Alexandria | 0.552 |
32 | Japan | Niigata | 0.556 |
33 | France | Villeneuve-d’Ascq | 0.562 |
34 | Spain | Alicante | 0.563 |
35 | South Korea | Gwangju | 0.563 |
36 | South Korea | Jeonju | 0.566 |
37 | Brazil | Fortaleza | 0.567 |
38 | Poland | Poznań | 0.568 |
39 | Brazil | Viçosa | 0.576 |
40 | Turkey | Izmir | 0.587 |
41 | India | Lucknow | 0.587 |
42 | Portugal | Aveiro | 0.587 |
43 | China | Zhengzhou | 0.588 |
44 | China | Guilin | 0.594 |
45 | China | Yantai | 0.595 |
46 | South Korea | Daejeon | 0.596 |
47 | Brazil | Belo Horizonte | 0.601 |
48 | India | Kolkata | 0.606 |
49 | China | Ürümqi | 0.613 |
50 | India | Chennai | 0.617 |
51 | Japan | Shizuoka | 0.626 |
52 | China | Nanning | 0.632 |
53 | India | Hyderabad | 0.632 |
54 | Japan | Saitama | 0.634 |
55 | Japan | Kawasaki | 0.649 |
56 | Brazil | Recife | 0.654 |
57 | Italy | Messina | 0.661 |
58 | Egypt | Cairo | 0.670 |
59 | Turkey | Istanbul | 0.673 |
60 | China | Changzhou | 0.682 |
61 | South Korea | Yongin | 0.682 |
62 | China | Kunming | 0.689 |
63 | Pakistan | Lahore | 0.690 |
64 | Japan | Sapporo | 0.695 |
65 | Argentina | Córdoba | 0.720 |
66 | Japan | Kanazawa | 0.732 |
67 | Poland | Gdańsk | 0.736 |
68 | Poland | Wrocław | 0.736 |
69 | China | Qingdao | 0.737 |
70 | Ukraine | Kiev | 0.749 |
71 | China | Jinan | 0.749 |
72 | China | Xinxiang | 0.754 |
73 | India | New Delhi | 0.755 |
74 | Poland | Łódź | 0.756 |
75 | China | Ningbo | 0.758 |
76 | India | Bangalore | 0.783 |
77 | South Korea | Jinju | 0.783 |
78 | Turkey | Ankara | 0.791 |
79 | Japan | Chiba | 0.796 |
80 | Japan | Sagamihara | 0.798 |
81 | South Africa | Pretoria | 0.801 |
82 | Russia | Novosibirsk | 0.804 |
83 | South Korea | Goyang | 0.804 |
84 | South Korea | Daegu | 0.806 |
85 | South Korea | Seoul | 0.807 |
86 | China | Nanchang | 0.809 |
87 | China | Taiyuan | 0.810 |
88 | China | Guiyang | 0.813 |
89 | India | Roorkee | 0.829 |
90 | Russia | Moscow | 0.836 |
91 | China | Wuxi | 0.840 |
92 | Brazil | Porto Alegre | 0.844 |
93 | Brazil | Florianópolis | 0.855 |
94 | Russia | Saint Petersburg | 0.856 |
95 | India | Mumbai | 0.865 |
96 | Japan | Sendai | 0.865 |
97 | UK | Loughborough | 0.868 |
98 | China | Xuzhou | 0.869 |
99 | Brazil | Campinas | 0.884 |
100 | Poland | Kraków | 0.891 |
Top collaborators of the most efficient non-US cities occurring in the 1–5 positions | Frequency of occurrence in the 1–5 positions in percentage | Top collaborators of the most efficient US cities occurring in the 1–5 positions | Frequency of occurrence in the 1–5 position in percentage | Top collaborators of the least efficient cities occurring in the 1–5 positions | Frequency of occurrence in the 1–5 positions in percentage | |
---|---|---|---|---|---|---|
1 | USA | 100.00 | England | 100.00 | USA | 98.00 |
2 | Germany | 89.58 | Germany | 98.08 | Germany | 72.00 |
3 | France | 79.17 | France | 88.46 | England | 70.00 |
4 | England | 77.08 | Canada | 86.54 | France | 43.00 |
5 | Italy | 50.00 | Australia | 36.54 | Australia | 34.00 |
6 | Netherlands | 22.92 | Italy | 34.62 | China | 29.00 |
7 | Spain | 18.75 | China | 21.15 | Italy | 29.00 |
8 | Switzerland | 16.67 | Spain | 9.62 | Spain | 26.00 |
9 | Australia | 14.58 | Netherlands | 9.62 | Canada | 25.00 |
10 | Canada | 12.50 | Switzerland | 7.69 | Japan | 13.00 |
Regions/Sub-regions | Number of cities | Percentage in the dataset | Cities’ mean efficiency publishing |
---|---|---|---|
Africa | 11 | 1.99 | 1.306 |
Asia | 131 | 23.65 | 1.009 |
Eastern Asia | 88 | 15.88 | 0.950 |
Southern Asia | 24 | 4.33 | 0.876 |
Western Asia | 14 | 2.53 | 1.521 |
Europe | 230 | 41.52 | 1.948 |
Eastern Europe | 4.51 | ||
Northern Europe | 60 | 10.83 | 2.260 |
Southern Europe | 54 | 9.75 | 1.673 |
Western Europe | 91 | 16.43 | 2.168 |
Latin America | 21 | 3.79 | 0.952 |
Northern America | 145 | 26.17 | 2.497 |
Canada | 18 | 3.25 | 1.970 |
USA | 127 | 22.92 | 2.572 |
Australia/New Zealand | 16 | 2.89 | 1.918 |
World | 554 | 1.818 |
Rank | Country | City | Number of highly cited articles (2014-2016) |
---|---|---|---|
1 | China | Beijing | 2650 |
2 | USA | Boston, MA | 2387 |
3 | England | London | 2337 |
4 | USA | New York, NY | 2237 |
5 | USA | Cambridge, MA | 1827 |
6 | France | Paris | 1601 |
7 | China | Shanghai | 1208 |
8 | USA | Seattle, WA | 1191 |
9 | USA | Los Angeles, CA | 1142 |
10 | England | Oxford | 1083 |
11 | USA | Stanford, CA | 1058 |
12 | USA | Philadelphia, PA | 1050 |
13 | USA | Baltimore, MD | 1047 |
14 | Canada | Toronto, ON | 1024 |
15 | USA | Chicago, IL | 991 |
16 | USA | Atlanta, GA | 971 |
17 | USA | Houston, TX | 964 |
18 | Spain | Barcelona | 920 |
19 | USA | Berkeley, CA | 911 |
20 | USA | San Francisco, CA | 910 |
21 | England | Cambridge | 885 |
22 | Singapore | Singapore | 871 |
23 | China | Nanjing | 866 |
24 | USA | Bethesda, MD | 825 |
25 | Netherlands | Amsterdam | 806 |
26 | Spain | Madrid | 772 |
27 | USA | Ann Arbor, MI | 765 |
28 | Germany | Munich | 764 |
29 | Japan | Tokyo | 734 |
30 | Switzerland | Zürich | 730 |
31 | Denmark | Copenhagen | 729 |
32 | Australia | Sydney, NSW | 723 |
33 | China | Hong Kong | 720 |
34 | Sweden | Stockholm | 708 |
35 | South Korea | Seoul | 698 |
36 | Germany | Berlin | 678 |
37 | USA | Washington, DC | 674 |
38 | USA | Durham, NC | 660 |
39 | USA | New Haven, CT | 659 |
40 | Canada | Montreal, PQ | 656 |
41 | Australia | Melbourne, VIC | 643 |
42 | China | Wuhan | 637 |
43 | Germany | Heidelberg | 627 |
44 | Canada | Vancouver, BC | 615 |
45 | USA | Pittsburgh, PA | 588 |
46 | USA | Princeton, NJ | 587 |
47 | China | Guangzhou | 552 |
48 | Switzerland | Geneva | 534 |
49 | Saudi Arabia | Jeddah | 532 |
50 | USA | St. Louis, MO | 511 |
The most productive scientific disciplines occurring in the top 1–5 positions in the most efficient cities | Frequency of occurrence in the 1–5 positions in percentage | The most productive scientific disciplines occurring in the top 1–5 positions in the least efficient cities | Frequency of occurrence in the 1–5 positions in percentage | |
---|---|---|---|---|
1 | Science, Technology, and Other Topics | 84.00 | Chemistry | 99.00 |
2 | Physics | 63.00 | Engineering | 85.00 |
3 | Neurosciences and Neurology | 47.00 | Physics | 84.00 |
4 | Chemistry | 45.00 | Materials Science | 80.00 |
5 | Engineering | 41.00 | Science, Technology, and Other | 54.00 |
Topics | ||||
6 | Astronomy and Astrophysics | 38.00 | Mathematics | 15.00 |
7 | Oncology | 29.00 | Environmental Sciences and | 12.00 |
Ecology | ||||
8 | Environmental Sciences and Ecology | 21.00 | Oncology | 12.00 |
9 | Psychology | 20.00 | Pharmacology and Pharmacy | 11.00 |
10 | Materials Science | 16.00 | Agriculture | 7.00 |
Top collaborators of the most efficient non-US cities occurring in the 1–5 positions | Frequency of occurrence in the 1–5 positions in percentage | Top collaborators of the most efficient US cities occurring in the 1–5 positions | Frequency of occurrence in the 1–5 position in percentage | Top collaborators of the least efficient cities occurring in the 1–5 positions | Frequency of occurrence in the 1–5 positions in percentage | |
---|---|---|---|---|---|---|
1 | USA | 100.00 | Germany | 98.11 | USA | 98.00 |
2 | Germany | 87.50 | England | 98.11 | Germany | 78.00 |
3 | England | 75.00 | China | 94.34 | England | 69.00 |
4 | France | 75.00 | Canada | 84.91 | France | 39.00 |
5 | Italy | 52.08 | France | 66.04 | China | 31.00 |
6 | Netherlands | 27.08 | Australia | 15.09 | Australia | 30.00 |
7 | Australia | 18.75 | Italy | 15.09 | Japan | 25.00 |
8 | Spain | 18.75 | Japan | 5.66 | Canada | 23.00 |
9 | China | 16.67 | Netherlands | 5.66 | Italy | 23.00 |
10 | Scotland | 8.33 | South Korea | 5.66 | South Korea | 18.00 |
Rank | Country | City | Efficiency |
---|---|---|---|
1 | France | Villejuif | 6.174 |
2 | USA | Menlo Park, CA | 5.676 |
3 | USA | Princeton, NJ | 4.978 |
4 | USA | Cambridge, MA | 4.670 |
5 | USA | Stanford, CA | 4.658 |
6 | Saudi Arabia | Jeddah | 4.541 |
7 | USA | Santa Cruz, CA | 4.430 |
8 | USA | Pasadena, CA | 4.400 |
9 | USA | San Francisco, CA | 3.993 |
10 | USA | Berkeley, CA | 3.932 |
11 | USA | Upton, NY | 3.920 |
12 | USA | Bethesda, MD | 3.912 |
13 | USA | Seattle, WA | 3.870 |
14 | USA | Rochester, MN | 3.830 |
15 | USA | Santa Barbara, CA | 3.778 |
16 | USA | Boston, MA | 3.742 |
17 | USA | Greenbelt, MD | 3.679 |
18 | USA | Rockville, MD | 3.667 |
19 | USA | Richland, WA | 3.618 |
20 | Switzerland | Geneva | 3.566 |
21 | USA | New Haven, CT | 3.565 |
22 | UK | Oxford | 3.427 |
23 | USA | Durham, NC | 3.400 |
24 | USA | Evanston, IL | 3.388 |
25 | UK | Didcot | 3.366 |
26 | USA | Boulder, CO | 3.288 |
27 | USA | Dallas, TX | 3.272 |
28 | USA | New York, NY | 3.262 |
29 | Italy | Perugia | 3.219 |
30 | USA | Riverside, CA | 3.201 |
31 | Germany | Heidelberg | 3.177 |
32 | UK | Cambridge | 3.171 |
33 | UK | Brighton | 3.162 |
34 | USA | Nashville, TN | 3.122 |
35 | France | Créteil | 3.111 |
36 | Israel | Rehovot | 3.096 |
37 | USA | Portland, OR | 3.091 |
38 | USA | Palo Alto, CA | 3.080 |
39 | Switzerland | Basel | 3.050 |
40 | Italy | Trieste | 3.036 |
41 | USA | St. Louis, MO | 3.029 |
42 | Netherlands | Rotterdam | 3.028 |
43 | Canada | Vancouver, BC | 3.024 |
44 | UK | Norwich | 3.006 |
45 | USA | Aurora, CO | 3.004 |
46 | USA | Atlanta, GA | 2.982 |
47 | UK | Lancaster | 2.976 |
48 | Netherlands | Nijmegen | 2.963 |
49 | USA | San Antonio, TX | 2.961 |
50 | France | Gif-sur-Yvette | 2.955 |
51 | USA | Los Angeles, CA | 2.948 |
52 | USA | Chapel Hill, NC | 2.937 |
53 | Canada | Victoria, BC | 2.924 |
54 | UK | Dundee | 2.916 |
55 | USA | Philadelphia, PA | 2.907 |
56 | UK | Leicester | 2.906 |
57 | UK | Edinburgh | 2.898 |
58 | USA | Research Triangle Park, NC | 2.897 |
59 | South Africa | Cape Town | 2.896 |
60 | Netherlands | Wageningen | 2.886 |
61 | Germany | Garching bei München | 2.877 |
62 | USA | Baltimore, MD | 2.866 |
63 | Switzerland | Lausanne | 2.866 |
64 | Denmark | Copenhagen | 2.855 |
65 | USA | Rochester, NY | 2.852 |
66 | USA | Houston, TX | 2.846 |
67 | Estonia | Tartu | 2.842 |
68 | USA | Providence, RI | 2.840 |
69 | USA | Denver, CO | 2.837 |
70 | USA | Birmingham, AL | 2.826 |
71 | South Africa | Durban | 2.818 |
72 | France | Clermont-Ferrand | 2.802 |
73 | USA | Ann Arbor, MI | 2.800 |
74 | Italy | Ferrara | 2.797 |
75 | USA | Cleveland, OH | 2.788 |
76 | Canada | Hamilton, ON | 2.768 |
77 | UK | Southampton | 2.758 |
78 | UK | Cardiff | 2.738 |
79 | UK | Exeter | 2.738 |
80 | USA | San Diego, CA | 2.734 |
81 | USA | Hanover, NH | 2.715 |
82 | Germany | Mainz | 2.714 |
83 | USA | Gaithersburg, MD | 2.691 |
84 | USA | Worcester, MA | 2.687 |
85 | Switzerland | Villigen | 2.686 |
86 | UK | Birmingham | 2.685 |
87 | Denmark | Lyngby | 2.684 |
88 | Germany | Bonn | 2.678 |
89 | Canada | Toronto, ON | 2.660 |
90 | UK | Newcastle | 2.658 |
91 | Switzerland | Bern | 2.657 |
92 | USA | Amherst, MA | 2.652 |
93 | USA | Eugene, OR | 2.650 |
94 | Netherlands | Amsterdam | 2.643 |
95 | USA | Chicago, IL | 2.638 |
96 | Germany | Essen | 2.627 |
97 | Belgium | Brussels | 2.614 |
98 | Italy | Pavia | 2.611 |
99 | USA | Winston-Salem, NC | 2.594 |
100 | USA | Tallahassee, FL | 2.591 |
Rank | Country | City | Total number of articles (2014-2016) |
---|---|---|---|
1 | China | Beijing | 201260 |
2 | China | Shanghai | 98227 |
3 | England | London | 92453 |
4 | South Korea | Seoul | 86447 |
5 | Japan | Tokyo | 77440 |
6 | France | Paris | 75033 |
7 | China | Nanjing | 70320 |
8 | USA | New York, NY | 68577 |
9 | USA | Boston, MA | 63789 |
10 | China | Guangzhou | 51922 |
11 | China | Wuhan | 50343 |
12 | Russia | Moscow | 47871 |
13 | Spain | Madrid | 47061 |
14 | Iran | Tehran | 46173 |
15 | China | Xi’an | 44052 |
16 | Spain | Barcelona | 40393 |
17 | Brazil | São Paulo | 39916 |
18 | USA | Cambridge, MA | 39121 |
19 | China | Hong Kong | 39032 |
20 | China | Hangzhou | 39029 |
21 | USA | Los Angeles, CA | 38740 |
22 | Canada | Toronto, ON | 38497 |
23 | Australia | Sydney, NSW | 37676 |
24 | USA | Chicago, IL | 37560 |
25 | Singapore | Singapore | 37523 |
26 | USA | Baltimore, MD | 36528 |
27 | Germany | Berlin | 36509 |
28 | USA | Philadelphia, PA | 36117 |
29 | China | Chengdu | 36032 |
30 | USA | Houston, TX | 33869 |
31 | USA | Atlanta, GA | 32564 |
32 | Canada | Montreal, PQ | 31820 |
33 | China | Tianjin | 31764 |
34 | England | Oxford | 31605 |
35 | Germany | Munich | 30886 |
36 | USA | Seattle, WA | 30779 |
37 | Netherlands | Amsterdam | 30498 |
38 | USA | Washington, DC | 29986 |
39 | Switzerland | Zürich | 29242 |
40 | Australia | Melbourne, VIC | 29198 |
41 | Sweden | Stockholm | 28599 |
42 | England | Cambridge | 27907 |
43 | China | Changsha | 27442 |
44 | USA | Ann Arbor, MI | 27322 |
45 | Japan | Osaka | 26594 |
46 | China | Jinan | 26557 |
47 | China | Harbin | 26386 |
48 | Denmark | Copenhagen | 25538 |
49 | Italy | Rome | 25378 |
50 | China | Hefei | 24911 |