Daniel E Acuna
Biographic Data
| ID | 8970353 |
|---|---|
| NAME | Daniel E Acuna |
| GIVEN NAMES | Daniel E |
| FAMILY NAME | Acuna |
| SIGNATURE | ACUÑA D E |
| AFFILIATIONS | University of Colorado Boulder |
| ORCID | 0000-0002-7765-1595 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Widespread reference missingness disparities in open scholarly metadata
Open scholarly metadatabases are becoming an indispensable component of quantitative studies of science. In particular, reference information from these databases is essential for citation analysis, including impact evaluation and disruption measurement. Recent studies have examined the reference coverage of different scholarly databases; nevertheless, the underlying factors driving the disparity in reference quality across publications remain la…
Predicting the longevity of resources shared in scientific publications
Research has shown that most resources shared in articles (e.g., URLs to code or data) are not kept up to date and mostly disappear from the web after some years (Zeng et al., 2019). Little is known about the factors that differentiate and predict the longevity of these resources. This article explores a range of explanatory features related to the publication venue, authors, references, and where the resource is shared. We analyze an extensive r…
Incorporating costs and benefits to the evaluation of uncertain research results
Correctness is a key aspiration of the scientific process, yet recent studies suggest that many high-profile findings may be difficult to replicate or require considerable evidence for verification. Proposals to fix these issues typically ask for tighter statistical controls (e.g., stricter p-value thresholds or higher statistical power). However, these approaches often overlook the importance of contemplating research outcomes’ potential costs a…
Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models
No prominent works on this page.
Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models
Incorporating costs and benefits to the evaluation of uncertain research results
Correctness is a key aspiration of the scientific process, yet recent studies suggest that many high-profile findings may be difficult to replicate or require considerable evidence for verification. Proposals to fix these issues typically ask for tighter statistical controls (e.g., stricter p-value thresholds or higher statistical power). However, these approaches often overlook the importance of contemplating research outcomes’ potential costs a…
Predicting the longevity of resources shared in scientific publications
Research has shown that most resources shared in articles (e.g., URLs to code or data) are not kept up to date and mostly disappear from the web after some years (Zeng et al., 2019). Little is known about the factors that differentiate and predict the longevity of these resources. This article explores a range of explanatory features related to the publication venue, authors, references, and where the resource is shared. We analyze an extensive r…
Widespread reference missingness disparities in open scholarly metadata
Open scholarly metadatabases are becoming an indispensable component of quantitative studies of science. In particular, reference information from these databases is essential for citation analysis, including impact evaluation and disruption measurement. Recent studies have examined the reference coverage of different scholarly databases; nevertheless, the underlying factors driving the disparity in reference quality across publications remain la…
Citation (2 works) · Computer Science (2 works) · Research Data Management Practices (2 works) · scientometrics and bibliometrics research (2 works) · Academic Publishing and Open Access (1 work) · Advanced Text Analysis Techniques (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Bibliometrics (1 work)