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- WHEN ARE ACADEMICS MOST PRODUCTIVE? Temporal analysis of bibliographic databases Yiting Zhao Supervisors: Qing Wang Peter Christen 1

- WHEN ARE ACADEMICS MOST PRODUCTIVE? Temporal analysis of bibliographic databases Yiting Zhao Supervisors: Qing Wang Peter Christen 1

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Page 1: - WHEN ARE ACADEMICS MOST PRODUCTIVE? Temporal analysis of bibliographic databases Yiting Zhao Supervisors: Qing Wang Peter Christen 1

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- WHEN ARE ACADEMICS MOST PRODUCTIVE?

Temporal analysis of bibliographic databases

Yiting Zhao

Supervisors:Qing Wang

Peter Christen

Page 2: - WHEN ARE ACADEMICS MOST PRODUCTIVE? Temporal analysis of bibliographic databases Yiting Zhao Supervisors: Qing Wang Peter Christen 1

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Google Scholar

Google Scholar Profile: track citations to your publications

Page 3: - WHEN ARE ACADEMICS MOST PRODUCTIVE? Temporal analysis of bibliographic databases Yiting Zhao Supervisors: Qing Wang Peter Christen 1

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Google Scholar

Search for researchers working on certain research topic

Page 4: - WHEN ARE ACADEMICS MOST PRODUCTIVE? Temporal analysis of bibliographic databases Yiting Zhao Supervisors: Qing Wang Peter Christen 1

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Overview

AimsMethodologyEvaluationFuture Research

Page 5: - WHEN ARE ACADEMICS MOST PRODUCTIVE? Temporal analysis of bibliographic databases Yiting Zhao Supervisors: Qing Wang Peter Christen 1

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Aims

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.

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Methodology

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

Page 7: - WHEN ARE ACADEMICS MOST PRODUCTIVE? Temporal analysis of bibliographic databases Yiting Zhao Supervisors: Qing Wang Peter Christen 1

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Methodology

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

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Evaluation

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

oz-2CXsAAAAJ Peter Christen

92 97 114 161 167 240 379 467 395

     113 133 168 190 192 201 313 361 400

u0xUDSoAAAAJ Lexing Xie 157 179 229 224 220 223 253 306 204

     127 178 196 197 228 245 308 338 283

sTAoZeUAAAAJ Arkady Zaslavsky

227 239 264 319 325 345 304 414 417

241 258 283 301 318 338 367 438 469

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Evaluation

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

Page 10: - WHEN ARE ACADEMICS MOST PRODUCTIVE? Temporal analysis of bibliographic databases Yiting Zhao Supervisors: Qing Wang Peter Christen 1

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Evaluation

Evaluation of Analysis for Group of Researchers

Four groups of researchers with research topics ‘Catalysis’, ‘Data Mining’, ‘Genomics’, and ‘Pharmacokinetics’.

  No. of Researcher

s

Total Citations

Total Publications

Catalysis 5 189750 6050Data Mining 5 440570 6605

Genomics 6 713685 4860Pharmacokinetics 6 64453 2440

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Evaluation- Calendar Year Citation Plot

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Evaluation- Career Year Citation Plot

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Evaluation- Career Year Publication Plot

Catalysis Genomics

Data MiningPharmacokinetics

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Conclusions

This approach introduce a way for measuring the productivity of researchers

Future works: Clustering of Researchers More analysis techniques

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Q & A