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IEEE

Applied Imagery Pattern Recognition Workshop (AIPR)

Location: Washington D.C. , United States

Conference dates: 10/11/2022 - 10/13/2022

Research H-index
8

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 544 14 46 7

Call for Papers

Theme topics include, but are not limited to:

Topics in Assured AI & Autonomy: robustness & resilience, trust, fairness & bias, and security. Adversarial ML, adversarial threat analysis, deepfakes, and defenses against adversarial attacks

Explainability (XA), Predictability, and Interpretability in AI & ML: applications such as medical image analytics, remote sensing, image understanding, and autonomous systems

Image-based Autonomous Capabilities: transportation, medicine, robotics, manufacturing, defense, and space

Image Understanding: captioning, inference, retrieval, summarization, scene modeling

Situational Awareness: biometrics, surveillance, anomaly detection, environmental monitoring, video analytics, virtual, mixed, and augmented reality

AI Decision Support: gathering and analyzing imagery, identifying, and diagnosing problems, expert systems, situational reporting

Remote Sensing: space-time processing, change detection, natural resource monitoring, enabling cloud applications

Medical and Biological Applications: diagnosis, intervention, prognosis, global health, scientific discovery

AI Tools: for assisted image analysis, deep learning, visualization, performance metrics and evaluation methodologies, and verification & validation using data fusion and non-traditional data

Modeling, Simulation, and Synthetic Imagery: image data generation, training and validation of vision models, simulation for vision-based systems, Generative Adversarial Networks (GANs)

Overview

This comprehensive ranking presents a meticulous evaluation of scientific conferences in the field of Computer Science. Developed by Research.com, a leading platform committed to providing trusted data on scientific research and contributions across all major disciplines since 2014, this ranking serves as a reliable reference for scholars, institutions, and professionals.

The position of each conference in this ranking is determined by a unique bibliometric score conceived by Research.com. This score is calculated by considering the estimated h-index and the presence of leading scientists who have contributed to the conference over the previous three years, thereby offering a nuanced and robust measure of scientific excellence and influence.

The current ranking encompasses Impact Score values that were systematically gathered as of November 27, 2024. To ensure a comprehensive and authoritative listing, the evaluation process involved rigorous examination of more than 2,742 conferences. These conferences were selected following the detailed review of over 148,739 scientific documents published during the last three years by a cohort of 13,184 distinguished and well-respected scientists within the Computer Science field.

This approach underscores the depth of research, complexity of analysis, and expertise leveraged in creating this ranking, thus reinforcing its credibility and value for the scientific community.

For a detailed explanation of the methodologies employed in computing the 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 Applied Imagery Pattern Recognition Workshop (based on the number of publications) are:

  • James V. Aanstoos (8 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • John M. Irvine (8 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Michael A. Pusateri (8 papers) absent at the last edition,
  • Vijayan K. Asari (7 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Khaled Hasan (6 papers) published 2 papers at the last edition, 1 more 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 Applied Imagery Pattern Recognition Workshop (based on the number of publications) are:

  • Air Force Research Laboratory (15 papers) published 7 papers at the last edition, 3 more than at the previous edition,
  • Charles Stark Draper Laboratory (12 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Mississippi State University (11 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Pennsylvania State University (9 papers) absent at the last edition,
  • University of Dayton (8 papers) published 3 papers at the last edition, 2 more than at the previous 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 2013 edition, 8.11% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 52.94% were posted by at least one author from the top 10 institutions publishing at the conference. Another 5.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.59% of all publications and 20.59% 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.

Related Online Degrees & Career Pathways

For students exploring Computer Science in the USA, related online degrees offer diverse pathways to enhance career prospects. Programs such as data analysis programs provide essential skills in interpreting complex datasets, a critical competency in today’s tech-driven industries.

Those interested in advanced research can pursue a data science doctorate online, combining technical expertise with innovative problem-solving abilities to drive advancements in artificial intelligence, machine learning, and beyond.

Interdisciplinary fields like bioinformatics also present exciting opportunities. Careers with a bioinformatics degree blend biology, computer science, and data analysis to fuel breakthroughs in healthcare and genomics.

Moreover, students keen on integrating healthcare and technology can explore online healthcare degrees, opening paths to roles that leverage computing skills to improve patient care, medical research, and health informatics.

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