Most cited papers from Deep Web Technologies (United States)
What are the most cited papers from Deep Web Technologies (United States)?
The most cited paper from Deep Web Technologies (United States) is "Breaking down language barriers through multilingual federated search" (Abe Lederman, Walter L. Warnick, Brian Hitson et al., 2010), with 5 citations. Next come "Intravenous Vaccination Induces CD8 + T Cells and Type I IFN-Dependent Remodeling of the Tumor Microenvironment" (0) and "An architecture for scaling federated search" (0).
Showing 3 of 3 papers. Every paper is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Breaking down language barriers through multilingual federated search Abe Lederman, Walter L. Warnick, Brian Hitson et al. · Information Services & Use | Aug 2010 | 5 |
| 2 | Intravenous Vaccination Induces CD8 + T Cells and Type I IFN-Dependent Remodeling of the Tumor Microenvironment Faezzah Baharom, Ramiro A. Ramirez-Valdez, Ahad Khalilnezhad et al. · SSRN Electronic Journal | 2022 | 0 |
| 3 | An architecture for scaling federated search Abe Lederman · Proceedings of the American Society for Information Science and Technology | 2009 | 0 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.