Visualization of Publication Impact

Measuring scholarly impact has been a topic of much interest in recent years. While many use the citation count as a primary indicator of a publications impact, the quality and impact of those citations will vary. Additionally, it is often difficult to see where a paper sits among other papers in the same research area. Questions we wished to answer through this visualization were: is a publication cited less than publications in the field?; is a publication cited by high or low impact publications?; and can we visually compare the impact of publications across a result set? In this work we address the above questions through a new visualization of publication impact. Our technique has been applied to the visualization of citation information in InspireHep (www.inspirehep.net), the largest high energy physics publication repository.

[1]  Jeffrey Heer,et al.  SpanningAspectRatioBank Easing FunctionS ArrayIn ColorIn Date Interpolator MatrixInterpola NumObjecPointI Rectang ISchedu Parallel Pause Scheduler Sequen Transition Transitioner Transiti Tween Co DelimGraphMLCon IData JSONCon DataField DataSc Dat DataSource Data DataUtil DirtySprite LineS RectSprite , 2011 .

[2]  Qi Han,et al.  CiteRivers: Visual Analytics of Citation Patterns , 2016, IEEE Transactions on Visualization and Computer Graphics.

[3]  Min Chen,et al.  Glyph-based Visualization: Foundations, Design Guidelines, Techniques and Applications , 2013, Eurographics.

[4]  Ludo Waltman,et al.  CitNetExplorer: A new software tool for analyzing and visualizing citation networks , 2014, J. Informetrics.

[5]  Jim Davies,et al.  Taxonomy-Based Glyph Design—with a Case Study on Visualizing Workflows of Biological Experiments , 2012, IEEE Transactions on Visualization and Computer Graphics.

[6]  Vijay V. Raghavan,et al.  Co-Citation Count vs Correlation for Influence Network Visualization , 2003, Inf. Vis..

[7]  ChenMin,et al.  Taxonomy-Based Glyph Design—with a Case Study on Visualizing Workflows of Biological Experiments , 2012 .

[8]  Lucy T. Nowell,et al.  ThemeRiver: Visualizing Thematic Changes in Large Document Collections , 2002, IEEE Trans. Vis. Comput. Graph..

[9]  Inanç Birol,et al.  Hive plots - rational approach to visualizing networks , 2012, Briefings Bioinform..

[10]  Jeffrey Heer,et al.  D³ Data-Driven Documents , 2011, IEEE Transactions on Visualization and Computer Graphics.

[11]  Jaegul Choo,et al.  CiteVis : Exploring Conference Paper Citation Data Visually , 2013 .

[12]  Tovi Grossman,et al.  Citeology: visualizing paper genealogy , 2012, CHI EA '12.

[13]  Paul Vickers,et al.  A survey of two-dimensional graph layout techniques for information visualisation , 2013, Inf. Vis..