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MIT Face Recognition Research, the Top 20 Institutions
A featured institution selection from Essential Science IndicatorsSM
This month, presents a listing of the top 20 institutions which, according to our Special Topic on face recognition, attracted the highest total citations to their papers published on the topic in Thomson Reuters-indexed journals.

These institutions are the top 20 ranked by total cites out of a pool of 2,674 institutions publishing on this topic, based on a keyword search for "face recog*" OR "face ident*" OR "face detect*" OR "view-based recog*" OR "object recog*" in the titles, abstracts, and keywords sections of original articles, reviews, and proceedings papers. The data pool was also narrowed by field.

The resulting list of institutions shows that face recognition technology is of international interest; fourteen of the institutions are US-based, three are from Europe, two from Asia, and one is from Canada. Research is being conducted by universities, government organizations, and the private sector. Fifteen of the organizations are academic, two are governmental, two are industrial, and one is an academic/governmental partnership.

Seven of these institutions also made an appearance in the feature on the top 20 institutions in the field of Computer Science from the Essential Science IndicatorsSM from Clarivate Analytics database. These are: MIT, the University of California, San Diego, the University of Illinois, Carnegie Mellon University, IBM, AT&T, and the University of California, Berkeley.

Ranking at #1 is MIT, with 114 papers cited a total of 2,429 times—almost 1,000 more citations than the next institution on the list. One of MIT's top researchers in this area is Tomaso Poggio, who ranks at #5 on our list of the top 20 scientists. Areas under exploration at MIT include multidimensional morphable models, view-based human face detection, cortex-like mechanisms, and object detection by components.

Coming in at #2 is Michigan State University, with 43 papers cited a total of 1,467 times. An overwhelming majority of these papers were authored or co-authored by Anil K. Jain, who ranks at #1 by citations on the top 20 scientists list. Among Michigan's highly cited research are papers on data clustering, statistical pattern recognition, face detection in color images, the use of faces and fingerprints for personal identification, and kernel principal component analysis.

The institution ranked at #3 is the University of California, San Diego, with 50 papers cited a total of 1,404 times. UCSD's papers examine the use of shape contexts for object recognition, slow feature analysis, classifying facial actions, and face recognition using independent component analysis. David Kriegman, who ranks at #6 on our list of the top 20 scientists, is affiliated with UCSD—he is also affiliated with the next institution on our list.

The #4 slot belongs to the University of Illinois, with 121 papers cited a total of 906 times. Illumination cone models, geometrical face models, detecting objects with sparse partial representation, and graph embedding and extensions are some of the areas being researched here.

Carnegie Mellon University ranks at #5, with 158 papers cited a total of 904 times. Highly cited papers for CMU include such topics as neural network based face detection, the use of spin images, the LDA algorithm, and deciphering objects in complex or cluttered 3D scenes.

Coming in at #6 is the US Army, with 41 papers cited 896 times. The Army's most-cited work concerns the FERET evaluation methodology, a program that was managed by Jonathon Phillips, who is now at the National Institute of Standards and Technology (NIST). Other Army projects involve targeting and intelligence recognition programs.

Ranking at #7 is the first of the European institutions: Delft University of Technology with 15 papers cited a total of 722 times. Delft's research includes automated analysis of facial expressions, image processing with neural networks, auto video logo detection, and object recognition through one-class learning.

We're back in the US with #8—Ohio State University with 37 papers cited 702 times. Neural computing, precision range image recognition, and analyses of the LDA algorithm are in focus at OSU.

The University of Amsterdam ranks at #9 in our analysis, with 32 papers cited 697 times. Amsterdam's research includes human-computer interactions, face detection by aggregated Bayesian network classifiers, and dynamic programming for matching shapes.

Rounding out the top 10 is the University of British Columbia, with 29 papers cited a total of 662 times. Image features from scale-invariant keypoints, matching words and pictures, vision-based navigation, and probabilistic models for object recognition are among the topics being explored at this institution.

The remaining institutions on the list include four US universities (the University of Connecticut at #15, George Mason University at #17, CUNY at #18, and the University of California, Berkeley at #19), one US government agency (NIST at #11), two US corporations (IBM at #12 and AT&T at #14), the third European organization (Max Planck Society at #13), and the two Asian institutions (Hong Kong Polytechnic University at #16 and Nanjing University of Science & Technology at #20).

The full list of the top 20 institutions in face recognition by total cites is as follows:

Rank       Institution Citations Papers Citations
Per Paper
1 MIT 2429 114 21.31
2 Michigan State Univ 1467 43 34.12
3 UNIV CALIF SAN DIEGO 1404 50 28.08
4 UNIV ILLINOIS 906 121 7.49
5 Carnegie Mellon Univ 904 158 5.72
6 US ARMY 896 41 21.85
7 DELFT UNIV TECHNOL 722 15 48.13
8 Ohio State Univ 702 37 18.97
9 UNIV AMSTERDAM 697 32 21.78
11 NATL INST STAND & TECHNOL 645 22 29.32
12 IBM Corp 608 23 26.43
13 Max Planck Society 584 22 26.55
14 AT&T 574 11 52.18
15 Univ Connecticut 561 51 11.00
17 GEORGE MASON UNIV 508 32 15.88
18 CUNY 476 17 28.00
19 Univ Calif Berkeley 461 35 13.17

Full citation details for all these institutions can be found in Essential Science Indicators from Clarivate Analytics.


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Institutional Interviews : 2009 : Face Recognition Research, the Top 20 Institutions