Normalized H5-index of Computer Science Conferences

When selecting conferences for csindexbr, we found a relevant correlation between the h5-index and the number of papers accepted in CS conferences.

Basically, h5-index is the largest number h such that h articles published in the last five editions of a conference have at least h citations each.

For example, see the following scatterplot, considering 166 conferences; h5-index is as computed by Google Scholar (in June, 2018).

These conferences cover 18 sub-areas. Although most CS sub-areas are included in the list, we acknoledge that some important sub-areas are still not covered by csindexbr (e.g. Operating Systems and Computer Graphics).

Our theory is that if a conference accepts many papers (hundreds of papers, for example) it produces many citations; some of these citations will refer to papers accepted in previous editions of the same conference. Naturally, some of these papers receive more citations and therefore increase the conference's h-index (or h5-index).

For example, there are two conferences with h5-index > 100 in our dataset (both accepting more than 600 papers):

1.CVPR (Computer Vision): 783 papers accepted in 2017; h5-index= 158 
2.NIPS (Artificial Intelligence): 678 papers accepted in 2017; h5-index= 101

Check also the next 13 conferences with the highest h5-index (as we can see, 6 conferences accept more than 400 papers):

3. ECCV (Computer Vision): 415 papers; h5-index=98 
4. ICML (Artificial Intelligence): 433 papers; h5-index=91 
5. ICCV (Computer Vision): 621 papers; h5-index=89 
6. CHI (Human-Computer Interaction): 600 papers; h5-index= 85 
7. INFOCOM (Networks): 292 papers; h5-index= 80 
8. WWW (Web): 164 papers; h5-index= 77 
9. KDD (Data Mining): 130 papers; h5-index= 73 
10. VLDB (Databases): 133 papers; h5-index= 73 
11. ICRA (Robotics): 939 papers; h5-index= 71 
12. CCS (Security): 151 papers; h5-index= 71 
13. IROS (Robotics): 970 papers; h5-index= 68 
14. ICSE (Software Engineering): 68 papers; h5-index= 68 
15. IEEE S&P (Security): 60 papers; h5-index= 68

Then, we decided to compute the normalized h5-index, defined as:

normalized-h5-index= h5-index / papers-accepted-2017

Ideally, we should normalize by the total number of papers accepted in the last five years; however, we only collected statistics about papers accepted in 2017. Despite that, we think the number of accepted papers in a conference does not change a lot, among recent editions.

(It is also important to mention that the idea of normalizing h-indexes is not new; for example, it is used in this paper from 2007).

The following chart shows the top-15 conferences, with normalized h5-index ≥ 1

Normalized h5-index (top-15 conferences)

Some observations about these 15 conferences:

  • They accepted a small number of papers in 2017. For example, CLOUD accepted 20 papers; SIGCOMM accepted 36; and SPLC accepted 15 papers.
  • NSDI is the conference which accepted the highest number of papers (46 papers).
  • SIGCOMM is also the conference with the highest h5-index (67), followed by NSDI (62).
  • SPLC is the conference with the lowest h5-index (25), followed by MODELS (26).

The next chart shows the next 16 conferences, with normalized h5-index ≥1.

Normalized h5-index (next 16 conferences)
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