Once again, drawing on the data from the 2015 Sisk study:
|
Rank |
Name |
School |
Citations |
Age in 2016 |
|
1 |
Arthur Miller |
New York University |
1300 |
82 |
|
2 |
Judith Resnik |
Yale University |
1060 |
66 |
|
3 |
Kevin Clermont |
Cornell University |
680 |
71 |
|
4 |
Stephen Burbank |
University of Pennsylvania |
580 |
69 |
|
5 |
Richard Marcus |
University of California, Hastings |
490 |
68 |
|
6 |
Deborah Hensler |
Stanford University |
430 |
74 |
|
7 |
A. Benjamin Spencer |
University of Virginia |
390 |
42 |
|
8 |
James Pfander |
Northwestern University |
360 |
60 |
|
9 |
Scott Dodson |
University of California, Hastings |
310 |
43 |
|
Linda Mullenix |
University of Texas, Austin |
310 |
66 |
|
|
Linda Silberman |
New York University |
310 |
72 |
|
|
Runner-up |
||||
|
Michael Solimine |
University of Cincinnati |
300 |
60 |
|
|
Other highly-cited scholars who work partly in this area |
||||
|
Geoffrey Miller |
New York University |
1150 |
66 |
|
|
Martin Redish |
Northwestern University |
1105 |
71 |
|
|
Samuel Issacharoff |
New York University |
1080 |
62 |
|
|
Pamela Karlan |
Stanford University |
830 |
57 |
|
|
Robert Bone |
University of Texas, Austin |
700 |
65 |
I’d like to pose a question. Let’s be pessimistic for the moment, and assume AI *does* destroy the university, at…