Write in a clean editor, then format for Journal of the American Society for Information Science in one click — DocuGuru applies the official Wiley template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Journal of the American Society for Information Science is a peer-reviewed journal published by Wiley, covering Information Retrieval and Search Behavior, Library Collection Development and Digital Resources, Advanced Text Analysis Techniques.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of the American Society for Information Science 12 (3): 45–58.
Formats any DOI in Journal of the American Society for Information Science style. No sign-up. |
| Publishes research in | Information Retrieval and Search Behavior Library Collection Development and Digital Resources Advanced Text Analysis Techniques Library Science and Information Literacy Semantic Web and Ontologies |
| ISSN | 0002-8231 |
| h-index | 150 |
| i10-index | 1,458 |
| Total citations | 131,909 |
| Top institutions publishing here | Louisiana State University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract A new form of document coupling called co‐citation is defined as the frequency with which two documents are cited together. The co‐citation frequency of two scientific papers can be determined by comparing lists of citing documents in the Science Citation Index and counting identical entries. Networks of co‐cited papers can be generated for specific…
The article discusses the users' perspective of information seeking. A model of the information search process is presented derived from a series of five studies investigating common experiences of users in information seeking situations. The cognitive and affective aspects of the process of information seeking suggest a gap between the users' natural process of information…
Abstract A Cumulative Advantage Distribution is proposed which models statistically the situation in which success breeds success. It differs from the Negative Binomial Distribution in that lack of success, being a non‐event, is not punished by increased chance of failure. It is shown that such a stochastic law is governed by the Beta Function, containing…
Abstract This paper examines statistical techniques for exploiting relevance information to weight search terms. These techniques are presented as a natural extension of weighting methods using information about the distribution of index terms in documents in general. A series of relevance weighting functions is derived and is justified by theoretical considerations. In particular, it is…
