Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Temporal analysis of bibliographic databases 1 - WHEN ARE ACADEMICS MOST PRODUCTIVE? Yiting Zhao Supervisors: Qing Wang Peter Christen Google Scholar 2 Google Scholar Profile: track citations to your publications Google Scholar 3 Search for researchers working on certain research topic Overview 4 Aims Methodology Evaluation Future Research Aims 5 To collect research outputs by individual researchers from Google Scholar. To develop techniques analysing the productivity of researchers. To develop visualisation techniques that allow a presentation of the analyse. Methodology 6 Data Crawling and Parsing Individual Researcher Groups of Researchers Data Analysis Individual Researcher: yearly citation counts Groups of Researchers: Calendar Year Citation/Publication Counts Career Year Citation/Publication Counts Career Year Citation/Publication : Average Counts Ratio Rank the Researchers Methodology 7 Analysis Individual Researcher: calculate the yearly citation counts for a researcher Groups of Researchers: Calendar Year Citation/Publication Counts Career Year Citation/Publication Counts Career Year Citation/Publication : Average Counts Ratio Rank the Researchers Evaluation 8 Accuracy of calculating the yearly citation counts for an individual researcher. RID RName 2006 2007 2008 2009 2010 2011 2012 2013 2014 6Slzb38AAAAJ Brian Anderson 1563 1657 1961 2049 2250 2520 2514 2749 1775 1426 1713 2191 2258 2258 2351 2389 2427 2035 92 97 114 161 167 240 379 467 395 113 133 168 190 192 201 313 361 400 157 179 229 224 220 223 253 306 204 127 178 196 197 228 245 308 338 283 227 239 264 319 325 345 304 414 417 241 258 283 301 318 338 367 438 469 oz-2CXsAAAAJ u0xUDSoAAAAJ sTAoZeUAAAAJ Peter Christen Lexing Xie Arkady Zaslavsky Evaluation 9 Accuracy of calculating the yearly citation counts for an individual researcher. RID RName Difference score 6Slzb38AAAAJ Brian Anderson 0.067909 oz-2CXsAAAAJ Peter Christen 0.19961647 u0xUDSoAAAAJ Lexing Xie 0.1220656 sTAoZeUAAAAJ Arkady Zaslavsky 0.0586942 Evaluation 10 Evaluation of Analysis for Group of Researchers Four groups of researchers with research topics ‘Catalysis’, ‘Data Mining’, ‘Genomics’, and ‘Pharmacokinetics’. Catalysis Data Mining Genomics Pharmacokinetics No. of Researchers Total Citations Total Publications 5 5 6 6 189750 440570 713685 64453 6050 6605 4860 2440 Evaluation- Calendar Year Citation Plot 11 Evaluation- Career Year Citation Plot 12 Evaluation- Career Year Publication Plot 13 Pharmacokinetics Catalysis Data Mining Genomics Conclusions 14 This approach introduce a way for measuring the productivity of researchers Future works: Clustering of Researchers More analysis techniques Q&A 15