--- title: "Agglomerations of science, ranked by citations — page 2" description: "The city agglomerations of the universities, labs and companies whose researchers wrote the papers of this library; San Francisco Bay Area, New York and…" canonical: "https://research.elamur.ai/free/en/agglomerations/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/page/2/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / page 2 # Agglomerations The city agglomerations of the universities, labs and companies whose researchers wrote the papers of this library; San Francisco Bay Area, New York and Seattle lead. 386 agglomerations · page 2 of 4 · ranked by the citations of their institutions · [institutions](https://md.research.elamur.ai/free/en/orgs/) [← prev](https://md.research.elamur.ai/free/en/agglomerations/) [1](https://md.research.elamur.ai/free/en/agglomerations/) **2** [3](https://md.research.elamur.ai/free/en/agglomerations/page/3/) [4](https://md.research.elamur.ai/free/en/agglomerations/page/4/) [next →](https://md.research.elamur.ai/free/en/agglomerations/page/3/) 101. [**Santa Barbara**United States*1 institution · 7,888 citations*](https://md.research.elamur.ai/free/en/agglomerations/santa-barbara/) 102. [**Nanjing**China*3 institutions · 7,408 citations*](https://md.research.elamur.ai/free/en/agglomerations/nanjing/) 103. [**Dresden**Germany*2 institutions · 7,148 citations*](https://md.research.elamur.ai/free/en/agglomerations/dresden/) 104. [**Le Mans**France*2 institutions · 6,866 citations*](https://md.research.elamur.ai/free/en/agglomerations/le-mans/) 105. [**Grenoble**France*5 institutions · 6,828 citations*](https://md.research.elamur.ai/free/en/agglomerations/grenoble/) 106. [**York**United Kingdom*1 institution · 6,464 citations*](https://md.research.elamur.ai/free/en/agglomerations/york/) 107. [**Lausanne**Switzerland*1 institution · 6,324 citations*](https://md.research.elamur.ai/free/en/agglomerations/lausanne/) 108. [**Turin**Italy*1 institution · 6,124 citations*](https://md.research.elamur.ai/free/en/agglomerations/turin/) 109. [**Brighton**United Kingdom*3 institutions · 6,055 citations*](https://md.research.elamur.ai/free/en/agglomerations/brighton/) 110. [**Abu Dhabi**United Arab Emirates*5 institutions · 5,777 citations*](https://md.research.elamur.ai/free/en/agglomerations/abu-dhabi/) 111. [**Heerlen**Germany*2 institutions · 5,695 citations*](https://md.research.elamur.ai/free/en/agglomerations/aachen/) 112. [**Belconnen**Australia*2 institutions · 5,347 citations*](https://md.research.elamur.ai/free/en/agglomerations/north-canberra-canberra/) 113. [**Leuven**Belgium*1 institution · 5,325 citations*](https://md.research.elamur.ai/free/en/agglomerations/leuven/) 114. [**Kaiserslautern**Germany*1 institution · 5,199 citations*](https://md.research.elamur.ai/free/en/agglomerations/kaiserslautern/) 115. [**Tilburg**Netherlands*1 institution · 5,198 citations*](https://md.research.elamur.ai/free/en/agglomerations/tilburg/) 116. [**Reading**United Kingdom*2 institutions · 5,070 citations*](https://md.research.elamur.ai/free/en/agglomerations/reading/) 117. [**New Taipei Taipei**Taiwan*3 institutions · 5,009 citations*](https://md.research.elamur.ai/free/en/agglomerations/taipei/) 118. [**Changchun**China*1 institution · 4,745 citations*](https://md.research.elamur.ai/free/en/agglomerations/changchun/) 119. [**Turku**Finland*3 institutions · 4,735 citations*](https://md.research.elamur.ai/free/en/agglomerations/turku/) 120. [**Leipzig**Germany*1 institution · 4,703 citations*](https://md.research.elamur.ai/free/en/agglomerations/leipzig/) 121. [**Nancy**France*4 institutions · 4,682 citations*](https://md.research.elamur.ai/free/en/agglomerations/nancy/) 122. [**Brussels**Belgium*3 institutions · 4,667 citations*](https://md.research.elamur.ai/free/en/agglomerations/brussels/) 123. [**Hamburg**Germany*1 institution · 4,538 citations*](https://md.research.elamur.ai/free/en/agglomerations/hamburg/) 124. [**Helsinki**Finland*2 institutions · 4,461 citations*](https://md.research.elamur.ai/free/en/agglomerations/helsinki/) 125. [**Mexico City**Mexico*2 institutions · 4,338 citations*](https://md.research.elamur.ai/free/en/agglomerations/mexico-city/) 126. [**Dammam**Saudi Arabia*4 institutions · 4,332 citations*](https://md.research.elamur.ai/free/en/agglomerations/dammam/) 127. [**Haifa**Israel*2 institutions · 4,271 citations*](https://md.research.elamur.ai/free/en/agglomerations/haifa/) 128. [**Suzhou**China*2 institutions · 4,163 citations*](https://md.research.elamur.ai/free/en/agglomerations/suzhou/) 129. [**Toulouse**France*4 institutions · 4,153 citations*](https://md.research.elamur.ai/free/en/agglomerations/toulouse/) 130. [**State College**United States*1 institution · 4,141 citations*](https://md.research.elamur.ai/free/en/agglomerations/state-college/) 131. [**Bloomington**United States*2 institutions · 4,050 citations*](https://md.research.elamur.ai/free/en/agglomerations/bloomington/) 132. [**Albany**United States*1 institution · 4,050 citations*](https://md.research.elamur.ai/free/en/agglomerations/albany/) 133. [**Las Cruces**United States*1 institution · 3,921 citations*](https://md.research.elamur.ai/free/en/agglomerations/las-cruces/) 134. [**Padua**Italy*1 institution · 3,921 citations*](https://md.research.elamur.ai/free/en/agglomerations/padua/) 135. [**Wuhan**China*2 institutions · 3,794 citations*](https://md.research.elamur.ai/free/en/agglomerations/wuhan/) 136. [**Groningen**Netherlands*1 institution · 3,767 citations*](https://md.research.elamur.ai/free/en/agglomerations/groningen/) 137. [**Hyderabad**India*2 institutions · 3,239 citations*](https://md.research.elamur.ai/free/en/agglomerations/hyderabad/) 138. [**Istanbul**Türkiye*3 institutions · 3,233 citations*](https://md.research.elamur.ai/free/en/agglomerations/istanbul/) 139. [**Paderborn**Germany*1 institution · 3,209 citations*](https://md.research.elamur.ai/free/en/agglomerations/paderborn/) 140. [**Oslo**Norway*2 institutions · 3,202 citations*](https://md.research.elamur.ai/free/en/agglomerations/oslo/) 141. [**Wroclaw**Poland*2 institutions · 3,176 citations*](https://md.research.elamur.ai/free/en/agglomerations/wroclaw/) 142. [**Strasbourg**France*2 institutions · 3,114 citations*](https://md.research.elamur.ai/free/en/agglomerations/strasbourg/) 143. [**Montpellier**France*2 institutions · 3,110 citations*](https://md.research.elamur.ai/free/en/agglomerations/montpellier/) 144. [**Cologne**Germany*4 institutions · 3,105 citations*](https://md.research.elamur.ai/free/en/agglomerations/cologne/) 145. [**Brisbane**Australia*2 institutions · 3,090 citations*](https://md.research.elamur.ai/free/en/agglomerations/brisbane/) 146. [**Valencia**Spain*2 institutions · 3,001 citations*](https://md.research.elamur.ai/free/en/agglomerations/valencia/) 147. [**Colchester**United Kingdom*1 institution · 2,852 citations*](https://md.research.elamur.ai/free/en/agglomerations/colchester/) 148. [**Tartu**Estonia*1 institution · 2,848 citations*](https://md.research.elamur.ai/free/en/agglomerations/tartu/) 149. [**Eugene**United States*1 institution · 2,832 citations*](https://md.research.elamur.ai/free/en/agglomerations/eugene/) 150. [**Frankfurt am Main**Germany*3 institutions · 2,787 citations*](https://md.research.elamur.ai/free/en/agglomerations/frankfurt/) 151. [**Mumbai**India*2 institutions · 2,776 citations*](https://md.research.elamur.ai/free/en/agglomerations/mumbai/) 152. [**Beer Sheva**Israel*2 institutions · 2,758 citations*](https://md.research.elamur.ai/free/en/agglomerations/beersheba/) 153. [**Stockholm**Sweden*4 institutions · 2,692 citations*](https://md.research.elamur.ai/free/en/agglomerations/stockholm/) 154. [**Porto**Portugal*2 institutions · 2,609 citations*](https://md.research.elamur.ai/free/en/agglomerations/porto/) 155. [**Halle (Saale)**Germany*1 institution · 2,603 citations*](https://md.research.elamur.ai/free/en/agglomerations/halle-saale/) 156. [**Larbert**United Kingdom*1 institution · 2,588 citations*](https://md.research.elamur.ai/free/en/agglomerations/larbert/) 157. [**Delhi New Delhi**India*4 institutions · 2,575 citations*](https://md.research.elamur.ai/free/en/agglomerations/new-delhi/) 158. [**Ghent**Belgium*1 institution · 2,565 citations*](https://md.research.elamur.ai/free/en/agglomerations/ghent/) 159. [**Houston**United States*2 institutions · 2,469 citations*](https://md.research.elamur.ai/free/en/agglomerations/houston/) 160. [**Geneva**Switzerland*1 institution · 2,453 citations*](https://md.research.elamur.ai/free/en/agglomerations/geneva/) 161. [**Chengdu**China*2 institutions · 2,446 citations*](https://md.research.elamur.ai/free/en/agglomerations/chengdu/) 162. [**Nagoya**Japan*2 institutions · 2,423 citations*](https://md.research.elamur.ai/free/en/agglomerations/nagoya/) 163. [**Agra**India*1 institution · 2,391 citations*](https://md.research.elamur.ai/free/en/agglomerations/agra/) 164. [**Linz**Austria*1 institution · 2,364 citations*](https://md.research.elamur.ai/free/en/agglomerations/linz/) 165. [**Winnipeg**Canada*1 institution · 2,348 citations*](https://md.research.elamur.ai/free/en/agglomerations/winnipeg/) 166. [**Sofia**Bulgaria*2 institutions · 2,330 citations*](https://md.research.elamur.ai/free/en/agglomerations/sofia/) 167. [**Chennai**India*1 institution · 2,249 citations*](https://md.research.elamur.ai/free/en/agglomerations/chennai/) 168. [**Linköping**Sweden*1 institution · 2,217 citations*](https://md.research.elamur.ai/free/en/agglomerations/linkoping/) 169. [**Bari**Italy*1 institution · 2,185 citations*](https://md.research.elamur.ai/free/en/agglomerations/bari/) 170. [**Edmonton**Canada*1 institution · 2,099 citations*](https://md.research.elamur.ai/free/en/agglomerations/edmonton/) 171. [**Cardiff**United Kingdom*1 institution · 2,004 citations*](https://md.research.elamur.ai/free/en/agglomerations/cardiff/) 172. [**Ankara**Türkiye*2 institutions · 1,956 citations*](https://md.research.elamur.ai/free/en/agglomerations/ankara/) 173. [**Xiamen**China*1 institution · 1,876 citations*](https://md.research.elamur.ai/free/en/agglomerations/xiamen-city/) 174. [**Rennes**France*1 institution · 1,862 citations*](https://md.research.elamur.ai/free/en/agglomerations/rennes/) 175. [**Galway**Ireland*1 institution · 1,853 citations*](https://md.research.elamur.ai/free/en/agglomerations/galway/) 176. [**Shenyang**China*1 institution · 1,800 citations*](https://md.research.elamur.ai/free/en/agglomerations/shenyang/) 177. [**Daejeon**South Korea*1 institution · 1,790 citations*](https://md.research.elamur.ai/free/en/agglomerations/daejeon/) 178. [**Irbid**Jordan*1 institution · 1,785 citations*](https://md.research.elamur.ai/free/en/agglomerations/irbid/) 179. [**Changsha**China*3 institutions · 1,768 citations*](https://md.research.elamur.ai/free/en/agglomerations/changsha/) 180. [**Hamilton**New Zealand*1 institution · 1,750 citations*](https://md.research.elamur.ai/free/en/agglomerations/hamilton/) 181. [**Minneapolis–Saint Paul**United States*1 institution · 1,732 citations*](https://md.research.elamur.ai/free/en/agglomerations/minneapolis-saint-paul/) 182. [**Perth**Australia*1 institution · 1,666 citations*](https://md.research.elamur.ai/free/en/agglomerations/perth/) 183. [**College Station**United States*1 institution · 1,604 citations*](https://md.research.elamur.ai/free/en/agglomerations/college-station/) 184. [**Bologna**Italy*1 institution · 1,590 citations*](https://md.research.elamur.ai/free/en/agglomerations/bologna/) 185. [**Gothenburg**Sweden*2 institutions · 1,523 citations*](https://md.research.elamur.ai/free/en/agglomerations/gothenburg/) 186. [**Phoenix**United States*1 institution · 1,477 citations*](https://md.research.elamur.ai/free/en/agglomerations/phoenix/) 187. [**Bucharest**Romania*3 institutions · 1,433 citations*](https://md.research.elamur.ai/free/en/agglomerations/bucharest/) 188. [**Beirut**Lebanon*2 institutions · 1,428 citations*](https://md.research.elamur.ai/free/en/agglomerations/beirut/) 189. [**Szeged**Hungary*1 institution · 1,306 citations*](https://md.research.elamur.ai/free/en/agglomerations/szeged/) 190. [**Lahore**Pakistan*1 institution · 1,302 citations*](https://md.research.elamur.ai/free/en/agglomerations/lahore/) 191. [**Leeds**United Kingdom*1 institution · 1,290 citations*](https://md.research.elamur.ai/free/en/agglomerations/leeds/) 192. [**Tianjin**China*2 institutions · 1,270 citations*](https://md.research.elamur.ai/free/en/agglomerations/tianjin/) 193. [**Coventry**United Kingdom*1 institution · 1,243 citations*](https://md.research.elamur.ai/free/en/agglomerations/coventry/) 194. [**Lund**Sweden*1 institution · 1,229 citations*](https://md.research.elamur.ai/free/en/agglomerations/lund/) 195. [**Antwerp**Belgium*1 institution · 1,220 citations*](https://md.research.elamur.ai/free/en/agglomerations/antwerp/) 196. [**Kano**Nigeria*1 institution · 1,209 citations*](https://md.research.elamur.ai/free/en/agglomerations/kano/) 197. [**Kigali**Rwanda*2 institutions · 1,196 citations*](https://md.research.elamur.ai/free/en/agglomerations/kigali/) 198. [**Zhuhai**Macao*1 institution · 1,192 citations*](https://md.research.elamur.ai/free/en/agglomerations/zhuhai-macau/) 199. [**Nashville**United States*1 institution · 1,170 citations*](https://md.research.elamur.ai/free/en/agglomerations/nashville/) 200. [**Trondheim**Norway*1 institution · 1,166 citations*](https://md.research.elamur.ai/free/en/agglomerations/trondheim/) [← prev](https://md.research.elamur.ai/free/en/agglomerations/) [1](https://md.research.elamur.ai/free/en/agglomerations/) **2** [3](https://md.research.elamur.ai/free/en/agglomerations/page/3/) [4](https://md.research.elamur.ai/free/en/agglomerations/page/4/) [next →](https://md.research.elamur.ai/free/en/agglomerations/page/3/) Agglomerations: the GHSL Urban Centre Database 2025; populations: the GHSL functional urban areas 2015 (urban centre and commuting zone), else the urban centre, as each page says (European Commission, Joint Research Centre, CC BY 4.0). An institution belongs to the urban centre its coordinates (ROR, OpenAlex) fall in, or one within 5 km. Land: Natural Earth. - [← back to](https://md.research.elamur.ai/free/en/orgs/) — institutions