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Knowledge and Uncertainty Research Laboratory
What can we
learn from
citation lists
Manolis Wallace
1
Knowledge and Uncertainty Research Laboratory
22/6/20152
Knowledge and Uncertainty Research Laboratory
 EU member
 Euro € currency
 10,816,286 population
 16.5 million tourists per year
 More than 6,000 islands
 Up to 227 are inhabited
22/6/20153
Greece
Knowledge and Uncertainty Research Laboratory
 Founded in 2002
 Located in Tripoli, Corinth, Kalamata,
Nafplion, and Sparta
 6,000 students
 Department of Informatics…
 … and Telecommunications
22/6/20154
University of Peloponnese
Knowledge and Uncertainty Research Laboratory
 Knowledge and Uncertainty Research
Laboratory
 Knowledge
 Γνώση - Ghnosi
 Uncertainty
 ΑΒεβαιότητα - AVeveotita
22/6/20155
The group
Knowledge and Uncertainty Research Laboratory
 Italian → bau-bau; arf-arf
 Turkish → hev-hev
 Thai → hong-hong
 Korean → mung-mung; wang-wang
 Swedish → voff-voff; vov-vov
 Greek → ghav-ghav
22/6/20156
Barking dog
Knowledge and Uncertainty Research Laboratory
22/6/20157
Knowledge and Uncertainty Research Laboratory
22/6/20158
Knowledge and Uncertainty Research Laboratory
22/6/20159
Knowledge and Uncertainty Research Laboratory
22/6/201510
Knowledge and Uncertainty Research Laboratory
22/6/201511
Knowledge and Uncertainty Research Laboratory
22/6/201512
Knowledge and Uncertainty Research Laboratory
22/6/201513
Knowledge and Uncertainty Research Laboratory
22/6/201514
Knowledge and Uncertainty Research Laboratory
22/6/201515
Knowledge and Uncertainty Research Laboratory
22/6/201516
Knowledge and Uncertainty Research Laboratory
22/6/201517
Knowledge and Uncertainty Research Laboratory
22/6/201518
Knowledge and Uncertainty Research Laboratory
 Researcher evaluation
 Volume of work
 Quality of work
 Difficulties
 Objectivity
 Data availability
22/6/201519
Today’s talk
Knowledge and Uncertainty Research Laboratory
 Publication lists
 YES
 Publications
 NO
 Citations
 Yes, partially
22/6/201520
What is available
Knowledge and Uncertainty Research Laboratory
 Publications
 Count
 Journal / book / conference / chapter
 Indexed
 Monograph / with associates
 How many contributors
 All / recent
 Researcher has # <criterion> publications
22/6/201521
Volume
Knowledge and Uncertainty Research Laboratory
 Citations
 Self-citations / group citations
 All / recent
 Researchers has # <criterion> citations
22/6/201522
Quality
Knowledge and Uncertainty Research Laboratory
 count
 average per paper/author
 h index
 h1, h2, h3
 g index
 e index
 s index
 i-10 index
22/6/201523
Citation metrics
Knowledge and Uncertainty Research Laboratory
 Currently examining count of local edges
 What else is there?
 Who is citing your work?
 What types of publications cite you?
 How important are the papers citing you?
 How many works are you affecting in the
long run?
 What are the subjects of the citing papers?
22/6/201524
Citation graph
Knowledge and Uncertainty Research Laboratory
 Ontology engineer for research project
22/6/201525
A simple example
Knowledge and Uncertainty Research Laboratory
 Stephen
 93.034 citations
 Panos
 69 citations
22/6/201526
The candidates
Knowledge and Uncertainty Research Laboratory
 Stephen Hawking
 93.034 citations
 Theoretical physics
 Panos Alexopoulos
 69 citations
 Ontology engineering
22/6/201527
The candidates
Knowledge and Uncertainty Research Laboratory
 Citation
 Title
 Abstract
 Keywords
 Full text
 Where it was published
22/6/201528
Scientific field of impact
Knowledge and Uncertainty Research Laboratory
 Citation acquisition
 Citation analysis
 Impact quantification
 Presentation
22/6/201529
Evaluation process
Knowledge and Uncertainty Research Laboratory
22/6/201530
Knowledge and Uncertainty Research Laboratory
22/6/201531
Knowledge and Uncertainty Research Laboratory
22/6/201532
Knowledge and Uncertainty Research Laboratory
 Run application
 See results
22/6/201533
Let’s try this
Knowledge and Uncertainty Research Laboratory
22/6/201534
Knowledge and Uncertainty Research Laboratory
22/6/201535
Knowledge and Uncertainty Research Laboratory
 Color coding
22/6/201536
Presentation
Knowledge and Uncertainty Research Laboratory
 Size for count
 Direction/color for field
22/6/201537
Visualization
Knowledge and Uncertainty Research Laboratory
 Run application
22/6/201538
Let’s try this
Knowledge and Uncertainty Research Laboratory
22/6/201539
Knowledge and Uncertainty Research Laboratory
22/6/201540
Knowledge and Uncertainty Research Laboratory
22/6/201541
Knowledge and Uncertainty Research Laboratory
22/6/201542
Knowledge and Uncertainty Research Laboratory
 ..this is just the citation count
22/6/201543
And…
Knowledge and Uncertainty Research Laboratory
 Evaluation based on citations
 Citations are (almost) open data
 Publication medium shows field
 Visualization assists comprehension
 Dogs go ghav-ghav in Greece
22/6/201544
Concluding
Knowledge and Uncertainty Research Laboratory
What can we
learn from
citation lists
Manolis Wallace
45

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What can we learn from citation lists