0345361 20240903204331.220100726235959.9 1 s. cav_un_epca*02904900926-4981201082 (2010)8-8European Research Consortium for Informatics and Mathematics scientometry cav_un_auth*0101093 Haindl Michal Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. http://ercim-news.ercim.eu/en82/european-scene/scientometry-leading-us-astray CEZ:AV0Z10750506 The entire spectrum of recent scientific research is too complex to be fully and qualitatively understood and assessed by any one person, hence, scientometry may have its place, provided it be applied with common sense, being constantly aware of its many limits. However, scientometry, when applied as the sole basis for evaluating performance and funding of research institutions, is our open admission that we are unable to recognize an excellent scientist even if he is working nearby. 2011 BD 1 http://hdl.handle.net/11104/0186650 2010 cav_un_epca*0290490 ERCIM News 0926-4981 1564-0094 Roč. 2010 č. 82 2010 8 8 European Research Consortium for Informatics and Mathematics