caa a22 4500 445348984 CHVBK 20180317142838.0 cr unu---uuuuu 170323e20110801xx s 000 0 eng 10.1007/s11192-011-0411-0 doi (NATIONALLICENCE)springer-10.1007/s11192-011-0411-0 Egghe L. Universiteit Hasselt (UHasselt), Campus Diepenbeek, 3590, Agoralaan, Diepenbeek, Belgium aut The influence of random removal of sources and items on the h-index [Elektronische Daten] [L. Egghe] If we have two information production processes with the same h-index, random removal of items causes one system to have a higher h-index than the other system while random removal of sources causes the opposite effect. In a Lotkaian framework we prove formulae for the h-index in case of random removal of items and in case of random removal of sources. In conclusion, we warn for the use of the h-index in case of incomplete data sets. Akadémiai Kiadó, Budapest, Hungary, 2011 Random removal nationallicence Hirsch-index nationallicence H-index nationallicence Sources nationallicence Items nationallicence Scientometrics Springer Netherlands 88/2(2011-08-01), 363-370 0138-9130 88:2<363 2011 88 11192 https://doi.org/10.1007/s11192-011-0411-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11192-011-0411-0 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Egghe L. Universiteit Hasselt (UHasselt), Campus Diepenbeek, 3590, Agoralaan, Diepenbeek, Belgium aut NATIONALLICENCE 773 0- Scientometrics Springer Netherlands 88/2(2011-08-01), 363-370 0138-9130 88:2<363 2011 88 11192 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer