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ECCV Conference Analytics

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The Microsoft Academic Graph (opens in new tab) makes it possible to gain analytic insights about any of the entities within it: publications, authors (opens in new tab)institutions (opens in new tab)topics (opens in new tab)journals (opens in new tab), and conferences (opens in new tab). In this series, we present analytic insights about current conferences, which will help you prepare for attending each event. All of the insights within are derived from the Microsoft Academic Graph and visualized in Microsoft Power BI. You can generate your own insights by accessing the Microsoft Academic Graph through the Academic Knowledge API (opens in new tab) or through Azure Data Lake Storage (opens in new tab) (please contact us (opens in new tab) for the latter option). If you would like to learn how we generated the insights below, please see the repository with source code (opens in new tab).

In this post, we present historical trend analysis about the conference ECCV – European Conference on Computer Vison (opens in new tab), taking place in Munich, Germany, from September 8-14, 2018. We derive insights from 1994 to the latest available year.

Click on each image for current trends and data hosted by Microsoft Academic Graph (opens in new tab).

ECCV paper output

The chart below shows the evolution of the number of conference papers for each conference year.

1-ECCV Conference Analytics -Publications Per Year (opens in new tab)

In the following chart, the black bars represent the average numbers of references per conference paper for each year. The data show that the recent publications tend to cite more references. The green bars show the average numbers of citations received by conference papers written in a given year. Note that the citations are raw counts and not normalized by the age of publications. This is because the “correct” way to normalize the citation counts turns out to be a nontrivial problem and may well be application-dependent. Please treat the raw data presented as an invitation to conduct research on this topic!

2-ECCV Conference Analytics -Average References-Citations Per Paper (opens in new tab)

Memory of references

How old are papers cited by ECCV papers? Follow a given year’s column to see the age of papers cited in conference papers published that year. For example, in 2016, ECCV papers collectively cited 3,989 papers published in 2015, 3,073 papers published in 2014, and so on.

3-ECCV Conference Analytics -Conference Paper Year (opens in new tab)

*If some years appear to cite publications from the future, it is likely due to two scenarios. First, they cited papers that are published in journals later. Second, they cited books. When a new edition of the book appears, it replaces the previous one in the Microsoft Academic Graph, and the citation appears to be from the future. In this representation, we remove all instances of papers citing papers more than one year in the future, to generate a cleaner view.

Outgoing references

What venues do ECCV papers cite?

The bar chart shows the top ten venues cited by ECCV papers. CVPR, ICCV, TPAMI, and ECCV emerge as the four.

4-ECCV Conference Analytics -Top-Referenced Venues (opens in new tab)

The 100 percent stacked bar chart below shows the percent of references given by ECCV papers to each of the top 10 venues, year by year.

5-ECCV Conference Analytics -Referenced Venues Over Time (opens in new tab)

Incoming citations

What venues cite ECCV papers?

The bar chart below shows the top 10 venues of that cite ECCV papers.  Again, CVPR is at the top, followed by ICCV and ECCV. See the table for year-by-year details of citations coming from each of the top 10 venues.

6-ECCV Conference Analytics -Top Citing Venues (opens in new tab)

The 100 percent stacked bar chart below shows the citation distribution from the top 10 citing venues, year by year.

7-ECCV Conference Analytics -Citing Venue Over Time (opens in new tab)

Most-cited authors

Who are the most-cited authors of all time by ECCV papers? The chart below ranks the most-cited authors by using the number of publications cited by the conference and number of citations received from the conference. Authors do not have to have published in ECCV to appear on this chart.

8-ECCV Conference Analytics -Most Cited Authors (opens in new tab)

Who are the rising stars among the top-cited authors in ECCV? The 100 percent stacked bar chart below shows the citation distribution by the top 20 authors, year by year.

9-ECCV Conference Analytics -Most Cited Authors Over Time (opens in new tab)

Top institutions

The bubble chart visualizes the top institutions at ECCV by citation count. The size of the bubble is proportional to the total number of publications from that institution at ECCV.

10-ECCV Conference Analytics -Top Institutions (opens in new tab)

Get the most current data and also explore the top institutions at the conference in more detail by clicking the chart. Once you are at the underlying Microsoft Power BI report, click on a column to rank the top institutions by publication or citation count.

11-ECCV Conference Analytics -Top Institutions (opens in new tab)

Top authors

The next three charts show author rankings according to different criteria.

The bubble chart displays ECCV authors ranked by citation count, with bubble size being relative to publication count.

12-ECCV Conference Analytics -Top Authors (opens in new tab)

Get the most current data and also explore the top authors at the conference in more detail by clicking the chart. Once you are at the underlying Microsoft Power BI report, you can also explore the top conference authors in more detail. Click on a column to rank the top authors by Microsoft Academic rank, publication, or citation count.

13-ECCV Conference Analytics -Top Authors (opens in new tab)

The bubble chart below visualizes author rank, which is calculated by Microsoft Academic by using a formula that is less susceptible to citation counts than similar measures. The X axis shows author rank. The higher an author’s rank, the closer they are to the right side. The Y axis normalizes the rank by publication count and enables us to identify impactful authors who might not have had a very large number of publications. The closer an author is to the top, the higher their normalized rank. Of course, the area of the chart that represents the highest rank is the top right corner.

14-ECCV Conference Analytics -Top Authors by Microsoft Academic Rank (opens in new tab)

We hope you have enjoyed the analytic insights into this conference made possible by the Microsoft Academic Graph (opens in new tab)! Please visit our page to learn how you can use our knowledge graph to generate your own custom analytics about an institution, a topic, an author, a publication venue, or any combination of these.

As always, we would like to hear from you either through the feedback link at the bottom right of the website (opens in new tab), or on Twitter (opens in new tab). You can also find our project home page with this blog on the Microsoft Research site at aka.ms/msracad (opens in new tab).