The 20 Most-Cited Institutions in
Computer Science, 1998-2008
Institution Feature
This month, ScienceWatch.com presents a
listing of the top 20 institutions which, as of the
third bimonthly update ofEssential
Science IndicatorsSM(January 1,
1998-June 30, 2008) attracted the highest total
citations to their papers publishedin
Clarivate-indexedComputer
Science journals. These institutions are the top 20 out
of a pool of 321 institutions comprising the top 1%
ranked by total citation count in this field.
The Computer Science field includes journals that cover the following
specific areas of study:
computer hardware and architecture
computer software
software engineering and design
computer graphics
programming languages
theoretical computing
computing methodologies
broad computing topics
interdisciplinary computer applications
information systems and information technology
acquisition, processing, storage, management, and dissemination of
information
communications via various devices and systems
bioinformatics and biostatistics
The top 20 institutions in this field are overwhelmingly academic, although
the top two slots have been claimed by industry. Seventeen of the
institutions are US-based, two are in Europe, and one is in Asia. Of the 17
US-based institutions, four are in California and two are in Pennsylvania.
With a lead of over 3,000 citations, AT&T ranks at #1, based on 1,963
papers cited a total of 22,271 times. AT&T's most-cited papers in this
field concentrate largely on wireless communications-related topics, such
as space-time block coding, channel estimation, and capacity scaling.
The #2 slot belongs to the IBM Corporation, with 3,210 papers cited a total
of 18,663 times. The most-cited paper for this institution reviews research
progress in organic thin-film transistors. In our Special Topic
on organic thin-film transistors, IBM researcher
Dr. Christos Dimitrakopoulos was ranked as one of
the top 10 scientists in this field. Other topics included in IBM's
Highly Cited Papers in Computer Science include chip design,
dielectrics, data storage, and web design.
The first academic institution on the list comes in at #3—it's MIT,
with 2,105 papers cited a total of 16,079 times. The Broad Institute at MIT
and Harvard's Haploview Team tops this institution's
Highly Cited Papers, with 1,345 cites. The case of MIT demonstrates the
particular influence of the journal Bioinformatics, which is
currently included in the cohort of Computer Science journals. As a
publisher of papers devoted to biology-related software and database
tools, protein-structure determination, microarray analyses, and other
bio-centric topics, Bioinformatics embodies the current
interface between computer science and biomedical research, and also
primarily accounts for the occasional allusions to genetics and other
life sciences research in this discussion. A variety of other topics are
included in MIT's research profile, such as the semantic web, microarray
technologies, wireless networks, and digital watermarking and
information embedding.
Hot on MIT's heels comes the first of the four California
institutions—the University of California, Berkeley, with 1,734
papers cited a total of 16,028 times. In July 2004, we spoke with
Ben Bolstad and his colleagues about their 2003
Bioinformatics paper, "A comparison of normalization methods
for high density oligonucleotide array data based on variance and bias,"
(19: 185-93, 22 January 2003)—then, it was a New Hot Paper; now,
it is Berkeley's most-cited paper in this field. Other papers from
Berkeley garnering citation notice include such topics as global DNA
sequencing tools, multielement antenna systems, and end-to-end
congestion control on the internet.
Stanford University is the second California institution on the list, and
it ranks at #5, with 1,773 papers cited a total of 15,458 times. Stanford's
Highly Cited Papers in this field cover a wide variety of topics, including
DNA microarrays, search engine designs, MIMO channels, cryptosystems, and
security for digital data.
The University of Illinois ranks at #6, with 2,108 papers cited a total of
10,549 times. One of the university's top researchers in this field is
P.R. Kumar, who has no less than four Highly Cited
Papers in this listing. In our Special Topic on
wireless/mobile networks, Dr. Kumar's work ranked at
#3, and he ranks in the top 100 scientists in Computer Science overall.
Other topics coming out of the University of Illinois include
quality-of-service routing for networks, spatial multiplexing systems,
and image retrieval.
The first of two Pennsylvania institutions is next: the Pennsylvania State
University, with 880 papers cited a total of 10,182 times. Penn State's
highly cited papers include the MEGA software for molecular evolutionary
genetics analysis (a joint project with Arizona State University and Tokyo
Metropolitan University), gene expression profile patterns, multiband
artificial magnetic conductors, and the evaluation of hydrological and
environmental models.
Another of the MEGA developers, Arizona State University, ranks at #8, with
595 papers cited a total of 9,149 times. Another gene-related project
Arizona State University is involved in is the Comparative RNA Web (CRW)
site. Other projects for this institution include antenna diversity, video
tracing, and wireless relay channels.
The third California institution comes in at #9 with 1,230 papers cited a
total of 9,099 times: the University of California, San Diego. the MrBayes
3 phylogenetic tool, public key encryption, predicting protein-protein
interactions, and establishing a network weather service are among San
Diego's Highly Cited Papers.
Rounding out the top 10 is the University of Uppsala in Sweden, with 439
papers cited a total of 7,832 times. Uppsala is also involved in the
MrBayes program. They have also developed Xpose, a
pharmacokinetic/pharmacodynamic model building aid. Other topics on
Uppsala's list of Highly Cited Papers in this field include
precoder/decoder designs for MIMO channels, space-time block codes, and
psychological treatment via the internet.
The 10 remaining institutions on this list include one more from California
(the University of California, Los Angeles at #15), one more from
Pennsylvania (Carnegie Mellon University at #13), one from Japan (Tokyo
Metropolitan University at #11), and one more from Europe (France's INRIA
at #17).
Scientists from the remaining institutions in the top 20 who have spoken
with us about their work include the University of Maryland's (#14)
Rama Chellappa, Georgia Tech's (#16)
Xiaoming Huo, and the University of Minnesota's
(#20)
Wei Pan.
The top 20 institutions in Computer Science are listed in full in the table
below:
Ranked by Citations
Rank
Field
Papers
Citations
Cites
Per Paper
1
AT&T
1,963
22,271
11.35
2
IBM CORP
3,210
18,663
5.81
3
MIT
2,105
16,079
7.64
4
UNIV CALIF BERKELEY
1,734
16,028
9.24
5
STANFORD UNIV
1,773
15,458
8.72
6
UNIV ILLINOIS
2,108
10,549
5.00
7
PENN STATE UNIV
880
10,182
11.57
8
ARIZONA STATE UNIV
595
9,149
15.38
9
UNIV CALIF SAN DIEGO
1,230
9,099
7.40
10
UNIV UPPSALA
439
7,832
17.84
11
TOKYO METROPOLITAN UNIV
67
7,204
107.52
12
BRIGHAM YOUNG UNIV
161
7,083
43.99
13
CARNEGIE MELLON UNIV
1,777
7,077
3.98
14
UNIV MARYLAND
1,459
6,864
4.70
15
UNIV CALIF LOS ANGELES
1,122
6,852
6.11
16
GEORGIA INST TECHNOL
1,433
6,627
4.62
17
INRIA
1,659
6,625
3.99
18
UNIV TEXAS AUSTIN
1,193
6,605
5.54
19
HARVARD UNIV
785
6,428
8.19
20
UNIV MINNESOTA
906
6,332
6.99
SOURCE: Essential Science
Indicators from the September 1, 2008 update
covering a 10-year + 6-month period, 1998-June 30, 2008.
Full citation details of all of these institutions can be seen in
Essential Science Indicators.
Keywords: computer hardware and architecture, computer software, software
engineering and design, computer graphics, programming languages,
theoretical computing, computing methodologies, broad computing topics,
interdisciplinary computer applications, information systems and
information technology, acquisition, processing, storage, management, and
dissemination of information, communications via various devices and
systems, bioinformatics and biostatistics..