1.INRIA | 2.IBM Research | 3.Stanford University | 4.Microsoft Research | 5.Eindhoven University of Technology |
6.Georgia Institute of Technology | 7.University of British Columbia | 8.University of Calgary | 9.University of Konstanz | 10.Harvard University |
11.City University London | 12.AT&T Research Laboratories | 13.University of Maryland | 14.University of Toronto | 15.Carnegie Mellon University |
This project visualizes every paper that has appeared at the IEEE Information Visualization (InfoVis) Conference from 1995 to 2015.
Each circle represents a paper. The number of papers generally increases over the two decades.
Click each tab to switch views. Hover over a circle to learn more.
All the papers of each year are projected based on a linear scale of the Google Scholar citations.
Generally speaking, the more aged a paper is, the more citations it tends to have. Time can help sift out some most influential papers that distinguish themselves far away from the others.
However, there is exception. The paper "D3 Data-Driven Documents” published in 2011 has 953 citations (until data collected for this study), which is the highest since 1995.
It far surpasses its peers published in the same year. And D3.js has been the standard library for data visualization professionals.
The articles that received the Best Paper Award of the year are highlighted.
The awards start in 2002 and we can see that not all the awardees have the highest citations among their peers in the same year.
Some less-cited awardees focus on very special topics that are not of general interest to the IEEE community.
For example, this awardee paper in 2007 "Visualizing the History of Living Spaces” has an emphasis on helping building designers make sense the data to monitor buildings on a large scale.
Eleven out of the 15 top affiliations are universities.
The Inria Research Center of Paris has contributed the most papers to IEEE.
About half of the 15 affiliations are located in the United States.
Papers that are written by more than one affiliation are marked in RED.
INRIA, Harvard University and University of Toronto enjoy collaboration with other affiliations most.