Display Options
Display Option 
Definition 
Rank 
The rank of the author in a certain topic area order by the corresponding metric. 
RankPer 
Rank percentage is dividing the rank value by the total number of authors in this topic area, and then *100%. 
Percentile 
Inside a certain topic area, the percentile of an author is the cummulative value of all the authors who have higher ranks for the certain metric. 
Letter (RankPer) 
By combining authors into 5 groups, we assign each group one of the letter "A", "B", "C", "D", "E" according to authors' rank percentile. 
Letter (Contri) 
By combining authors into 5 groups, we assign each group one of the letter "A", "B", "C", "D", "E" according to authors' contribution percentile. 
Author Types 
 (Include All)  No filtering applied during the calculation.
 (Active YYYY  now)  Only include authors active YYYYnow.

Domain Types 
 24 subdomain  Following the categoraization provided by Microsoft academic research  Computer Science Top Domain
 CS overall (Type A)  Consider all the papers (including those that do not belong to any of the 24 subdomains) forming one single domain.
 CS overall (Type B)  Merge the 24 subdomains into one single domain, i.e., those papers belong to CS top domain, but not belong to any of the 24subdomains are excluded.

Author Metrics
Metric Name 
Definition 
Influence (Inf.) 
Influence is computed by distributing each author's influence across her publications, then onto those authors citing those publications.
This computation extends the pagerank fixed point computation used in Google Search service. In this case, the solution gives each author an
influence value that is in turn used to rank all the authors in a particular field.

Connections (Conn.) 
Connections is computed as the fixed point of the coauthor matrix. An author ranked high by this metric coauthors with many other people,
and/or people highly connected. Note, in this metric, no citation information is involved in this calculation.

Exposure (Expo.) 
The value of exposure is computed based on both an authorâ€™s publications as well as from the venue of those publications.
By publishing more in venues of high influence, an author can accumulate more exposure; in this sense, exposure can be considered a
predictor of future influence.

# of citation counts (#Cit Cnt) 
Total number of citations received by the papers written by this author 
Citation rank (#Cit) 
In this case, authors are ranked according to his/her total citation counts 
Hindex 
Standard hindex (the largest integer h, that the author has h papers, each of which receives no less than h citations) for an author in a
certain domain

Hin 
In this case, authors are ranked according to his/her hindex value 
Hindex 

Gindex 
Standard gindex (the largest integer g, that the author has g papers, the total #citations received by them is no less than g*g) for an
author in a certain domain 
Gin 
In this case, authors are ranked according to his/her gindex value 
Avg#Cit 
Average number of citations received by each paper. 
#BCit 
In this case, authors are ranked according to his/her balanced citation counts. The the value of balanced citations an author gets by one
coauthored paper is equal to the #citations devided by the #coauthors of this paper.

Fol 
Follower is computed as the fixed point of the authorfollower matrix. An author ranked high by this metric has been followed by many other
people, and/or people largely followed. Note, in this metric, we do not consider any weighting factors according to the times an author has
followed another. Each author will evenly distribute values to its following authors.

#Fol 
A follower of an author X is defined as an author who has cited a paper by X. This metric ranks authors by number of unique followers.

Cred 
Credit is computed in a similar way as "influence", but the focus is how to attribute the credit of each publication to its authors [RFMV2009].
The calculation of author scientific credits is based on the credit redistribution matrix. In each matrix iteration, authors redistribute their
current credits to other authors according to the paper citation links. The redistribution weight is affected by the number of authors of both
citing and cited papers.

#Coa 
Number of distinct collaborators of this author (coauthored at least one paper) 
Pval 
Paper value (Pval) is to first calculate each paper's influence value by applying the pagerank like algorithm on the paper citation
network, then evenly distributed these values to all the coauthors.

Authorbased Organisation Ranking
Metric Name 
Definition 
Metrics selected 
We selected five metrics, Inf, #Cit, Expo, Hindex and Gindex. Two letter assignment appraoch (contribution percentile and rank percentile)

Total Score and Rank 
For each metric, we calculate the total score according to authors' letters, "A" = 1, "B" = 0.5, "C" = 0.25, and "D"="E" = 0 
#As Score and Rank 
For each metric, we only count the #of "A" authors 
Venue metrics
Since topologically, venues are symmetric to authors, the definition of the venue metrics are the same as the author metrics. The only differerence
is that venues do not have coauthor related metrics.