Telescope Productivity and Impact Analysis 2015-2019 by Dennis Crabtree
Explore the telescope productivity and impact analysis from 2015 to 2019 by Dennis Crabtree, focusing on publications, citations, and high-impact papers. Discover insights into productivity per telescope and the impact of papers across different observatories and facilities.
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Presentation Transcript
Observatory Publications September 2021 Update 2015 -2019 Dennis Crabtree NRC Herzberg Astronomy & Astrophysics
Introduction This update includes data for 2015 2019 publications Citations updated August 2021 SMA added to data; AAT now included; single telescope paper analysis added Productivity numbers for multi-telescope facilities divided by the # of telescopes to give productivity per telescope. ApJused as the journal used to normalize citations for the age effect . The impact of a paper is the ratio of the number of citations that paper has received to the citation count for the median ApJ paper of the same year AIPP Average Impact per Paper; MIPP Median Impact per Paper Dennis Crabtree
Productivity The following slide shows telescope productivity for the period 2015 2019 Productivity is the number of papers per telescope multi-telescope facilities such as Keck have their numbers normalized Note the steadily increasing paper production of ALMA expected from a new facility, as well as Blanco as a result of the large survey it has done HST continues to be a paper producing machine! Dennis Crabtree
Impact The following two slides show telescope impact per paper Recall that impact of a paper is defined as the number of citations to the paper divided by the number of citations received by the median ApJ paper of the same year. The next slide show Average Impact per Paper (AIPP) and Median Impact per Paper (MIPP) for the 5-year period The second following slide is a box and whisker plot of impact per paper. The line is the AIPP while the line inside the box is the MIPP. The ends of the box represent the upper and lower quartile while end of the whiskers represent the minimum and maximum impact for each telescope. Dennis Crabtree
High Impact Papers Another performance metric is the number or fraction of high impact papers. I define a paper as being high impact if it is in the 90th percentile of the complete distribution of papers The following plot shows the percentage of a telescope s papers that are high impact for each telescope Dennis Crabtree
Single Telescope Papers Single telescope (ST) papers are those that are based on data from a single telescope. The plot on the following page (warning, it is a bit complicated) compares ST papers to all papers for each telescope The orange line (right axis) is the % of ST papers. The red line (right axis) is the ratio of AIPP for ST papers to AIPP for all papers. On average ST papers represent 41% of a telescope s bibliography and these papers have an impact of 79% that of all papers. The bars show the % of high impact papers for ST(green) and all papers (blue). In general a smaller fraction of ST papers are high impact Dennis Crabtree
Performance of Single Telescope Papers 25.0% 120.0% % HIP % STP HIP 100.0% 20.0% 80.0% 15.0% % HIP 60.0% 10.0% 40.0% 5.0% 20.0% 0.0% 0.0% SALT IRTF AAT ARC NTT VISTA WHT GBT SMA SOAR TNG UKIRT WIYN HET JCMT Magellan MMT Subaru HST GTC LBT Blanco Keck SOFIA VLA VLT ALMA INT ESO3p6 Gemini Mayall CFHT Dennis Crabtree Telescope
Overall Performance This slide shows a summary of telescope performance. The two axes are MIPP and Total Impact, while the size of the points represent the total papers per telescope for 2015-2019. The color of the circles represents the fraction of papers in the top 10% of cited papers in the complete sample
Network Map Telescopes are treated as nodes and a paper in common is considered an edge in the network Map shown on following slide A Yifan Hu clustering algorithm used to generate map. Size of node proportional to log10(# of papers per telescope) Color of node is the AIPP (darker higher AIPP) Connecting line thickness proportional to # of common papers More on network analysis following the network plot Dennis Crabtree
Network EigenCentrality EigenCentrality measures a node s influence based on the number of links it has to other nodes in the network. also takes into account how well connected a node is, and how many links their connections have, and so on through the network. Helps to be connected to other well connected nodes The following plot shows Eigencentrality plotted vs MIPP. The size of the circle is proportional to log10(# of papers per telescope) HST s paper count reduced by a factor 5 for readability Network analysis shows that HST, VLT and Keck are most central to the network and that SOPHIA, ESO3p6 and LBT are least central. Dennis Crabtree
# of Authors The next slide displays the # of paper and the ln(AIPP) vs the # of authors The decline in single author papers continues there are almost as many papers with 17 authors as single author papers. (For 2013-2017 almost as many papers with 15 authors as single author papers) The distribution of AIPP is close to log-normal. The ln(AIPP) is shown with the standard error of this variable. The mean impact of a paper increases with the number of authors. Dennis Crabtree
Productivity & Impact vs # of Authors 1600 0.60 0.40 # of Papers ln(AIPP) 1400 0.20 1200 0.00 1000 -0.20 # of Papers ln(AIPP) 800 -0.40 -0.60 600 -0.80 400 -1.00 200 -1.20 0 -1.40 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 # of Authors
Fraction of papers vs # of authors 1 2 3 4 5 6 7 8 9 10 20% This plot shows the fraction of papers each vs the number of authors. Note the declining percentage of papers with 6 or fewer authors and the increasing percentage for papers with higher # of authors. 18% 16% 14% Percentage of papers 12% 10% 8% 6% 4% 2% 0% 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Year Dennis Crabtree
