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Assessing Writing
H-index 15

Assessing Writing

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Social Sciences and Humanities 268 13 22 14

Additional Metrics

Number of Best Scientists*: 26
Documents by Best Scientists*: 33
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 56
SCIMAGO SJR: 2.847
Impact Factor: 5.5

Overview

Top Research Topics at Assessing Writing?

The journal generally zeroes in on subjects such as Mathematics education, Writing assessment, Pedagogy, Test (assessment) and Rubric. The studies on Mathematics education discussed can also contribute to research in the domains of Context (language use), Perception and Curriculum. The studies on Writing assessment discussed can also contribute to research in the domains of Composition (language), Social psychology, Artificial intelligence and Natural language processing.

The research on Social psychology tackled can also make contributions to studies in the areas of Cognitive psychology and Applied psychology. The Applied psychology study featured in it draws connections with the study of Rating scale. Assessing Writing focuses on Pedagogy as well as the interrelated topic of Reading (process).

The studies tackled, which mainly focus on Test (assessment), apply to Construct (philosophy) as well.

  • Mathematics education (43.09%)
  • Writing assessment (37.53%)
  • Pedagogy (22.68%)

What are the most cited papers published in the journal?

  • Differences in written discourse in independent and integrated prototype tasks for next generation TOEFL (182 citations)
  • Reliability and validity of rubrics for assessment through writing (169 citations)
  • On the relation between automated essay scoring and modern views of the writing construct (147 citations)

Research areas of the most cited articles at Assessing Writing:

Mathematics education, Writing assessment, Pedagogy, Academic writing and Second language writing are the main subjects of interest in the most cited publications. While Mathematics education is the focus of the published papers, it also provides insights into the studies of Test (assessment) and Reading (process). The works on Writing assessment tackled in the published papers bring together disciplines like Social psychology, Natural language processing, Rating scale, Rubric and Artificial intelligence.

Papers citation over time

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 Assessing Writing (based on the number of publications) are:

  • Ute Knoch (11 papers) absent at the last edition,
  • Liz Hamp-Lyons (10 papers) absent at the last edition,
  • David Slomp (9 papers) absent at the last edition,
  • Laura Aull (9 papers) absent at the last edition,
  • Liz Hamp-Lyons (8 papers) absent at the last edition.

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 Assessing Writing (based on the number of publications) are:

  • University of Melbourne (15 papers) absent at the last edition,
  • Washington State University (14 papers) absent at the last edition,
  • University of Michigan (14 papers) absent at the last edition,
  • Princeton University (13 papers) absent at the last edition,
  • Georgia State University (12 papers) absent at the last edition.

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.

Publication chance based on affiliation

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 2022 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.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Application of Research and Career Opportunities

Derived from these in-depth studies, the application of this research significantly impacts various crucial fields. In particular, the branch of social psychology and applied psychology explored in these articles contributes significantly to the conceptual development of substance abuse counseling. Moreover, the application of algorithms within this research increases its significance for individuals involved in natural language processing, artificial intelligence, software development, and machine learning. If you aspire to merge the two disciplines of social psychology and applied psychology, one potential career path could be a substance abuse counselor. The state of North Carolina offers many opportunities within this discipline. You can further explore the qualifications required in our article on [how to become a substance abuse counselor in North](https://research.com/careers/how-to-become-a-substance-abuse-counselor-in-north-carolina) Carolina. In conclusion, the interwoven correlations between the unique fields covered by the journal Assessing Writing, ranging from pedagogy to artificial intelligence, provide a rich tapestry of knowledge. The fusion of these domains offers promising career paths, and the shared knowledge enriches both academic discourse and practical application.

Top Publications

  • Improving student feedback literacy in academic writing: An evidence-based framework

    Shulin Yu;Chunhong Liu

    (2021)
    157 Citations
  • Investigating what feedback practices contribute to students’ writing motivation and engagement in Chinese EFL context: A large scale study

    Shulin Yu;Lianjiang Jiang;Lianjiang Jiang;Nan Zhou

    (2020)
    130 Citations
  • Fostering student engagement with feedback: an integrated approach

    Zhe (Victor) Zhang;Ken Hyland

    (2022)
    101 Citations
  • Assessing L2 student writing feedback literacy: A scale development and validation study

    Unknown

    (2022)
    86 Citations
  • Feedback scope in written corrective feedback: Analysis of empirical research in L2 contexts

    Zhicheng Mao;Icy Lee

    (2020)
    69 Citations
  • Reconceptualizing the impact of feedback in second language writing: A multidimensional perspective

    (2022)
    42 Citations
  • Automated writing evaluation: Does spelling and grammar feedback support high-quality writing and revision?

    (2022)
    39 Citations
  • “I even feel annoyed and angry”: Teacher emotional experiences in giving feedback on student writing

    Shulin Yu;Yao Zheng;Lianjiang Jiang;Chunhong Liu

    (2021)
    39 Citations
  • L2 learners’ agentic engagement in an assessment as learning-focused writing classroom

    Lu Wang;Icy Lee

    (2021)
    33 Citations
  • Writing motivation: A validation study of self-judgment and performance

    Guangming Ling;Norbert Elliot;Jill C. Burstein;Daniel F. McCaffrey

    (2021)
    32 Citations

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Best Scientists Contributing to This Journal

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