The aim of this paper is to understand whether the probability of receiving positive peer reviews is influenced by having published in an independently assessed, high-ranking journal: we eventually interpret a positive relationship among peer evaluation and journal ranking as evidence that journal ratings are good predictors of article quality. The analysis is based on a large dataset of over 1...

This study presents a ranking of 182 academic journals in the field of artificial intelligence. For this, the revealed preference approach, also referred to as a citation impact method, was utilized to collect data from Google Scholar. This list was developed based on three relatively novel indices: h-index, g-index, and hc-index. These indices correlated almost perfectly with one another (rang...

Text retrieval systems store a great variety of documents, from abstracts, newspaper articles, and web pages to journal articles, books, court transcripts, and legislation. Collections of diverse types of documents expose shortcomings in current approaches to ranking. Use of short fragments of documents, called passages, instead of whole documents can overcome these shortcomings: passage rankin...

We characterize a precise comparative static on welfare and the amount of public information in an economy under uncertainty. Results dating to Hirshleifer (1971) have suggested that information can have negative value in such a setting, but counterexamples using competitive equilibrium outcomes have suppressed general results to this effect. We show that under the solution concept of implement...

We present a method for mapping the content of a text collection. This method uses linguistic analysis to relate terms extracted from the texts and clusters them into thematic topics mapped onto a 2D space. While the graphic display of domain topics is useful for several information-driven tasks, the focus of the paper is more on the comparison of journal ranking by productivity (number of publ...

The process of getting recognized and appreciated in the academic community through journal rankings usually takes many years. The editors of LOGISTICS RESEARCH are glad to report that Jourqual, the professional ranking through the German Association for Business Research (i.e. the “Verband der Hochschullehrer für Betriebswirtschaft”, the 1850 member German equivalent to the United States’ Acad...

This paper considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with associated probabilities that define an initial ranking of these parses. A second model then attempts to improve upon this initial ranking, using additional features of the tree as evidence. We describe and compare two appr...

This study examines the use of journal rankings and proposes a new method of measuring IS journal impact based on the Hirsch family of indices (Hirsch 2005; Sidiropoulos et al. 2006). Journal rankings are a very important exercise in academia since they impact tenure and promotion decisions. Current methods employed to rank journal influence are shown to be subjective. We propose that the Hirsc...

An experiment was conducted to demonstrate the validity of a journal selection and ranking algorithm designed for any discipline. The characteristics of the journal generation procedure incorporate both cited and citing journals so that basic scientific research journals contributing to the research foundation of the discipline, as well as journals in the discipline, might be identified. A Disc...