New Directions, Shifting Perceptions:�Incorporating a new service at DST�
Kelly Gruenwald
Research Librarian, Research Impact & Analytics
Research Information Services, DST
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The role of DST
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Facts and figures
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Research Information Services: three teams in one
RIS
RIRI
RIM
RIO
Research Information �Management
Research Information Resource Infrastructure
Research Information �Outreach
enables DST staff to discover and access information in all formats via a range of services &technologies
provides first point of contact, tailored, in-person research support beyond self-help for greater enablement
supports researchers to manage their research outputs and information
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Research Collaboration and Benchmarking Analytics - Process
First Stage�Scoping & consultation
Second Stage�Reality Check
Third Stage�Delivery
Fourth Stage�Feedback & Review
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What is currently covered?
Overview
Keyphrases
Top 5 Publications
Top 10 Countries
Top 10 Institutions
Top 5 Authors
Search information
Glossary
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Overview of Artificial Intelligence Research �Top 50 Keyphrases�based on the 6,335 publications imported from Scopus
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[Sourced from SciVal database, Elsevier B.V., http://www.scival.com, downloaded on 16 October 2019]
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Overview of Artificial Intelligence Research �Top 10 Countries �data is based on the scholarly output
| INSTITUTION | SCHOLARLY OUTPUT | VIEWS COUNT | FIELD-WEIGHTED CITATION | CITATION COUNT |
| United States | 1,861 | 58,137 | 2.77 | 35,360 |
| China | 853 | 26,188 | 1.87 | 10,772 |
| India | 547 | 14,611 | 1.28 | 2,776 |
| United Kingdom | 490 | 17,450 | 2.51 | 9,678 |
| Germany | 377 | 10,595 | 2.68 | 4,030 |
| Spain | 285 | 11,961 | 2.21 | 3,543 |
| Italy | 256 | 10,359 | 2.27 | 3,512 |
| Canada | 255 | 12,681 | 3.29 | 16,575 |
| France | 242 | 6,902 | 1.91 | 2,367 |
| Australia | 215 | 7,781 | 1.86 | 2,067 |
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[Sourced from SciVal database, Elsevier B.V., http://www.scival.com, downloaded on 16 October 2019]
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Overview of Artificial Intelligence Research �Top 10 Institutions worldwide�data is based on field-weighted citation ���
| INSTITUTION | SCHOLARLY OUTPUT | VIEWS COUNT | FIELD-WEIGHTED CITATION | CITATION COUNT |
| Alphabet Inc. | 22 | 4,976 | 9.37 | 12,758 |
| University of Oxford | 30 | 1,603 | 9.20 | 4,205 |
| Pennsylvania State University | 19 | 661 | 9.13 | 411 |
| New York University | 24 | 4,835 | 7.33 | 12,371 |
| University of Toronto | 29 | 5,450 | 7.03 | 12,556 |
| Arizona State University | 23 | 838 | 6.77 | 530 |
| University of Maryland, College Park | 18 | 648 | 6.64 | 334 |
| Stanford University | 61 | 2,180 | 6.44 | 1,566 |
| University of Utah | 20 | 883 | 6.37 | 563 |
| Cornell University | 21 | 537 | 4.58 | 499 |
*A Field-Weighted Views Impact of more than 1.00 indicates that the entity’s publications have been viewed more than would be expected based on the global average for similar publications in the same database; for example, 3.87 means 287% more viewed than world average within the same database
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[Sourced from SciVal database, Elsevier B.V., http://www.scival.com, downloaded on 16 October 2019]
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STANFORD UNIVERSITY�Top 5 most cited publications based on scholarly output
TITLE | AUTHORS | YEAR | SCOPUS SOURCE | CITATIONS |
Computer-based personality judgments are more accurate than those made by humans | Youyou, W., Kosinski, M., Stillwell, D. | 2015 | Proceedings of the National Academy of Sciences of the United States of America | 239 |
Automated Identification of Diabetic Retinopathy Using Deep Learning | Gargeya, R., Leng, T. | 2017 | Ophthalmology | 136 |
Machine learning and prediction in medicine-beyond the peak of inflated expectations | Chen, J.H., Asch, S.M. | 2017 | New England Journal of Medicine | 130 |
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification | Shen, W., Zhou, M., Yang, F. and 5 more | 2017 | Pattern Recognition | 111 |
Interpretable decision sets: A joint framework for description and prediction | Lakkaraju, H., Bach, S.H., Leskovec, J. | 2016 | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | 85 |
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61 publications out of 6,335 publications
[Sourced from SciVal database, Elsevier B.V., http://www.scival.com, downloaded on 16 October 2019]
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Nigam Haresh Shah
Stanford University, United States
H-index is 41
Documents by author is 191
Cited by 5,510 documents
Field-weighted Citation of 27.22
TITLE | AUTHORS | YEAR | SCOPUS SOURCE | CITATIONS |
Implementing machine learning in health care ' addressing ethical challenges | Char, D.S., Shah, N.H., Magnus, D. | 2018 | New England Journal of Medicine | 65 |
What this computer needs is a physician humanism and artificial intelligence | Verghese, A., Shah, N.H., Harrington, R.A. | 2018 | JAMA - Journal of the American Medical Association | 64 |
Affiliations:
3 publications out of 6,335 publications
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[Sourced from SciVal database, Elsevier B.V., http://www.scival.com, downloaded on 16 October 2019]
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Current state and the Road Ahead
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Image sourced from Pixabay, 2019
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Image sourced from Pixabay, 2019
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SOURCE INFORMATION
SciVal database, Elsevier B.V., http://www.scival.com, downloaded on 16 October 2019
Scopus 2019 , Elsevier B.V., www.Scopus.com accessed 16 October 2019
This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
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