| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 684 | 17 | 12 | 8 |
The objective of the journal is to combine knowledge in the areas of Information retrieval, Relevance (information retrieval), Human–computer information retrieval, Artificial intelligence and World Wide Web. The work on Information retrieval tackled in it brings together disciplines like NIST and Social media. In it, Deep learning and Ranking (information retrieval) are investigated in conjunction with one another to address concerns in Relevance (information retrieval) research.
The Learning to rank studies presented in it fall under the field of Ranking (information retrieval), but it also has connections to other fields such as Statistical learning theory and sort. The studies in Human–computer information retrieval featured incorporate elements of Question answering and Language model. The journal holds forums on Question answering that merges themes from other disciplines such as Document retrieval and Voice search.
The featured works in Subjectivity analysis and Opinion analysis, which all belong in the domain if Artificial intelligence, also overlaps with concepts under Polarity (physics) and Private state. The featured World Wide Web research zeroes in on concepts in Web crawler but also tackles themes under Data structure, Work (electrical) and Parallel search. Cognitive models of information retrieval research featured in the journal incorporates concerns from various other topics such as Concept search, Data mining and Automatic summarization.
Information retrieval, Human–computer information retrieval, Relevance (information retrieval), World Wide Web and Question answering are the main subjects of interest in the most cited papers. The journal papers explore research in Ranking (information retrieval) and overlapping concepts in Pairwise comparison to expand the discourse in Relevance (information retrieval). The most cited publications explore World Wide Web concepts, specifically Web crawler and Search engine but expand to research in Work (electrical), Data structure and Deep Web.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Foundations and Trends in Information Retrieval (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Foundations and Trends in Information Retrieval (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2020 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
The various research areas and themes explored through the journal also highlight potential career opportunities and pathways for aspiring researchers and professionals. The world of Information retrieval, Relevance (information retrieval), Human–computer information retrieval, Artificial intelligence and World Wide Web, among others, holds endless possibilities for individuals seeking to enter these fields. Aspiring educators can also consider exploring research and teaching opportunities in these topics. For those with advanced qualifications, knowing how to become a teacher in Hawaii with a master's degree allows them to tap into Higher Education teaching opportunities tied to these research themes. The interconnectedness of the disciplines highlighted by the journal fosters a rich multidisciplinary perspective, essential for modern research and educational landscapes.
Yongfeng Zhang;Xu Chen
(2020)Ridho Reinanda;Edgar Meij;Maarten de Rijke
(2020)Unknown
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