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AAAI Press

ICAPS 2021 : International Conference on Automated Planning and Scheduling (ICAPS)

Location: Guangzhou , China

Submission deadline: 12/11/2020

Conference dates: 8/2/2021 - 8/2/2021

Research H-index
18

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 142 78 187 18

Call for Papers

The ICAPS 2021 program committee invites paper submissions related to automated planning and scheduling. Relevant contributions include, but are not limited to:

Applications and case studies of planning and scheduling techniques
Uncertainty and stochasticity in planning and scheduling
Partially observable and unobservable domains
Conformant, contingent and adversarial planning
Plan and schedule execution, monitoring and repair
Continuous planning, on-line and real-time domains
Plan recognition, plan management and goal reasoning
Classical planning techniques and analysis
Continuous state and action spaces based planning
Multi-agent and distributed planning
Action model learning, knowledge acquisition and engineering
Learning for planning and scheduling
Human computer interaction for planning and scheduling systems
Mixed initiative planning and scheduling systems
Mixed planning with continuous and discrete actions
Planning and decision support for human-machine teams
Human-aware planning and behavior prediction
Planning for explainable machine learning

Overview

This comprehensive ranking presents a meticulously curated list of leading scientific conferences within the field of Computer Science. Developed by Research.com—recognized as one of the foremost platforms for scientific research across all major disciplines—this ranking leverages a decade of experience in providing reliable and up-to-date data on scientific contributions, with a particular focus on Computer Science since 2014.

The ranking methodology is grounded in an exclusive bibliometric score pioneered by Research.com. This score integrates both the estimated h-index of the conferences and the presence of leading scientists who have participated in each conference over the preceding three years, offering a multidimensional perspective on conference impact and quality. The Impact Score values represented were systematically gathered as of 2024-11-27, ensuring the relevance and timeliness of the data.

The ranking process was exceptionally thorough, encompassing the examination of more than 2,742 conferences. These were rigorously selected following a detailed review of over 148,739 scientific documents published within the last three years by a distinguished cohort of 13,184 leading scientists in Computer Science. This extensive analysis underscores our commitment to rigor and the depth of expertise applied throughout the assessment process.

For further information on the methodologies, computational procedures, and criteria applied in deriving these ranking scores, please 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 on Automated Planning and Scheduling (based on the number of publications) are:

  • Malte Helmert (25 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Maria Fox (20 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Patrik Haslum (19 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Andrew Coles (18 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Derek Long (18 papers) published 1 paper at the last edition, 2 less than at the previous 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 on Automated Planning and Scheduling (based on the number of publications) are:

  • Australian National University (28 papers) published 4 papers at the last edition,
  • Carnegie Mellon University (28 papers) published 12 papers at the last edition, 9 more than at the previous edition,
  • University of Freiburg (28 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • King's College London (21 papers) published 1 paper at the last edition, 6 less than at the previous edition,
  • Technion – Israel Institute of Technology (20 papers) published 3 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 2017 edition, 3.80% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 43.42% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.84% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.74% of all publications and 25.00% 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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