International Conference on Intelligent Autonomous Systems

Top Research Topics at International Conference on Intelligent Autonomous Systems?

• Artificial intelligence (43.78%)
• Robot (33.56%)
• Computer vision (22.67%)

The conference is mainly concerned with subjects like Artificial intelligence, Robot, Computer vision, Mobile robot and Simulation. The Artificial intelligence study featured in it draws connections with the study of Pattern recognition. International Conference on Intelligent Autonomous Systems is mostly focused on Pattern recognition, specifically Convolutional neural network.

Real-time computing, Task (project management) and Human–computer interaction are some topics wherein Robot research discussed in the event have an impact. Computer vision study tackled is connected to the field of Robustness (computer science).

What are the most cited papers published at the conference?

• Persistent Point Feature Histograms for 3D Point Clouds (171 citations)
• Detecting Moving Objects using a Single Camera on a Mobile Robot in an Outdoor Environment (151 citations)
• Fast and Accurate Crop and Weed Identification with Summarized Train Sets for Precision Agriculture (72 citations)

Research areas of the most cited articles at International Conference on Intelligent Autonomous Systems:

The most cited articles are organized to address concerns in the fields of Robot, Artificial intelligence, Human–computer interaction, Simulation and Robotics. Aside from discussions in Robot, the conference publications also deal with the subject of Tracking (particle physics) which intersects with Real-time computing and Exploit disciplines. The published articles address concerns in Artificial intelligence which are intertwined with other disciplines, such as Computer vision and Pattern recognition.

What topics the last edition of the conference is best known for?

• Artificial intelligence
• Operating system
• Programming language

The previous edition focused in particular on these issues:

The aim of the conference is to expand the discussion of research in Artificial intelligence, Computer vision, Feature extraction, Artificial neural network and Robot. The conference focuses on Artificial intelligence as well as the interrelated topic of Pattern recognition. The conference addresses concerns in Computer vision which are intertwined with other disciplines, such as Visualization and Robustness (computer science).

International Conference on Intelligent Autonomous Systems explores topics in Feature extraction which can be helpful for research in disciplines like Information extraction, Network model and Simultaneous localization and mapping. While International Conference on Intelligent Autonomous Systems focused on Artificial neural network, it was also able to explore topics like Representation (mathematics) and Data mining. International Conference on Intelligent Autonomous Systems holds forums on Robot that merges themes from other disciplines such as Task (project management) and Simulation.

The most cited articles from the last conference are:

• Low-light Image Enhancement Based on Weighted Adaptive Guided Filter (0 citations)
• Super-Resolution Image Reconstruction Algorithm Based on Improved Information Distillation Network (0 citations)
• Sentiment Analysis of MOOC Reviews Based On Capsule Network (0 citations)

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.

Top authors and change over time

The top authors publishing at International Conference on Intelligent Autonomous Systems (based on the number of publications) are:

• Meng Joo Er (13 papers) published 9 papers at the last edition,
• Emanuele Menegatti (8 papers) absent at the last edition,
• Jun Ota (7 papers) absent at the last edition,
• Matteo Munaro (7 papers) absent at the last edition,
• Weidong Chen (7 papers) absent 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Intelligent Autonomous Systems (based on the number of publications) are:

• Wuhan University of Science and Technology (32 papers) published 25 papers at the last edition,
• University of Tokyo (22 papers) absent at the last edition,
• Dalian Maritime University (15 papers) published 12 papers at the last edition,
• Shanghai Jiao Tong University (15 papers) absent at the last edition,
• Chinese Academy of Sciences (15 papers) published 6 papers at the last edition, 5 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 2021 edition, 8.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 60.87% were posted by at least one author from the top 10 institutions publishing at the conference. Another 5.80% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.49% of all publications and 18.84% 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.