Research output per year
Research output per year
Fingerprint
The Elsevier Fingerprint Engine mines the text of the experts' scholarly documents – publication abstracts, awards, project summaries, patents, and other sources – to create an index of weighted terms which defines the text, known as a Fingerprint. By aggregating and comparing Fingerprints, the Elsevier Fingerprint Engine enables users to look beyond metadata and expose valuable connections among people, research units, publications, and ideas.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
Jason Paul Chambers
- College of Media - Associate Dean for Diversity, Equity, and Inclusion
- Charles H. Sandage Department of Advertising - Professor
- Institute of Communications Research - Professor
Person: Academic
-
Chang Dae Ham
- Charles H. Sandage Department of Advertising - Professor, Associate Head of Graduate Studies
- Institute of Communications Research - Professor
Person: Academic
-
Jacqueline Claire Hitchon
- Charles H. Sandage Department of Advertising - Professor
- Institute of Communications Research - Professor
Person: Academic
-
Accessibility and Age: Can Legibility Improve Opportunity to Process Advertising?
Nelson, M. R. & Cook, K., 2024, In: Journal of Advertising. 53, 3, p. 307-325 19 p.Research output: Contribution to journal › Article › peer-review
-
Advancing Precise Outline-Conditioned Text Generation with Task Duality and Explicit Outline Control
Li, Y., Chen, Q., Yan, W., Zhang, Q., Wang, W. & Sundaram, H., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics (ACL), p. 2362-2377 16 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
A longitudinal analysis of usage patterns, topics, and information dissemination related to five names for cultured meat on social media
Chen, T., Su, L. Y. F., Ng, Y. M. M. & Wang, Y. C., Jan 2024, In: Current Research in Food Science. 9, 100859.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
-
Dataset for '“I can show what I really like.”: Eliciting Preferences via Quadratic Voting'
Cheng, T.-C. (Creator), Li, T. W. (Creator), Karahalios, K. G. (Creator) & Sundaram, H. (Creator), University of Illinois Urbana-Champaign, May 1 2021
DOI: 10.13012/B2IDB-1928463_V1
Dataset
-
Academic Dataset
Narang, K. (Creator), Sundaram, H. (Creator), Chung, A. (Creator) & Chaturvedi, S. (Creator), University of Illinois Urbana-Champaign, Oct 11 2020
DOI: 10.13012/B2IDB-0454350_V1
Dataset
Honors & Recognition
Press/Media
-
‘Branded access offers’ dilute parent brand via perceived lack of consumer commitment
4/11/24
1 Media contribution
Press/Media: Research
-
How will generative artificial intelligence affect political advertising in 2024?
3/7/24
1 Media contribution
Press/Media: Expert Comment / Interview
-
Activities
- 2 Oral presentation
-
Social Media Analytics and the COVID-19 Infodemic
Yun, J. T. (Speaker)
May 19 2020Activity: Talk types › Oral presentation
-