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ACM

International conference natural language processing (NLPIR) (NLPIR)

Location: Seoul , Korea

Conference dates: 12/15/2023 - 12/17/2023

Research H-index
10

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 328 70 93 10

Call for Papers

Nowadays, advances in computer engineering made it possible that humans may interact with the machines in their natural language either in the written or the spoken manner. At the same time, the amount of (textual) data available in big data bases as well as the world wide web is growing in a rapid manner. Both developments setup new challenges for the development of innovative algorithms to recognise speech, to categorise and classify not only textual information in short times as well as to extract knowledge and wisdom from a huge pile of raw, unevaluated data.

At the situation, 2023 7th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2023) will bring together researchers, which devoted their work to progress in the above described timely tasks. It will be held in Seoul, South Korea on December 15-17, 2023.

Overview

This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science, meticulously curated by Research.com. Recognized as one of the leading platforms for science research across all major fields, Research.com has been a reliable source of trusted data on scientific contributions since 2014. The current listing utilizes a unique bibliometric score developed by Research.com, which integrates the estimated h-index with the number of leading scientists who have participated in each conference over the preceding three years. This multifaceted approach ensures a robust and nuanced assessment of conference impact and scientific presence.

The ranking includes Impact Score values collected as of 2024-11-27, reflecting the most recent data available. The evaluation process was rigorous and exhaustive: more than 2,742 scientific conferences were analyzed, each selected after a detailed inspection that involved reviewing over 148,739 scientific documents published during the last three years. These documents originated from a diverse group of 13,184 leading and well-respected scientists specializing in Computer Science, further highlighting the depth and scope of the analysis.

For a thorough understanding of how the ranking scores were calculated, including a detailed description of the bibliometric methodology and selection criteria, we invite you to visit our Methodology Page.

Papers citation over time

A key indicator for each conference 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 at International conference natural language processing (based on the number of publications) are:

  • Guodong Zhou (7 papers) published 7 papers at the last edition,
  • Min Zhang (6 papers) published 6 papers at the last edition,
  • Ming Zhou (5 papers) published 5 papers at the last edition,
  • Xing Xie (4 papers) published 4 papers at the last edition,
  • Dongyan Zhao (4 papers) published 4 papers at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at International conference natural language processing (based on the number of publications) are:

  • Peking University (22 papers) published 22 papers at the last edition,
  • Soochow University (Suzhou) (18 papers) published 18 papers at the last edition,
  • Microsoft (15 papers) published 15 papers at the last edition,
  • Harbin Institute of Technology (12 papers) published 12 papers at the last edition,
  • Chinese Academy of Sciences (10 papers) published 10 papers at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

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 2019 edition, 14.89% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.12% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.50% of all publications and 19.38% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference 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 at a conference. The index includes the authors publishing at the last edition of a conference, 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.

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