International Geoscience and Remote Sensing Symposium 2022

Top Research Topics at International Geoscience and Remote Sensing Symposium?

• Remote sensing (53.88%)
• Synthetic aperture radar (21.60%)
• Artificial intelligence (19.68%)

The main research concerns discussed in International Geoscience and Remote Sensing Symposium are Remote sensing, Synthetic aperture radar, Artificial intelligence, Radar imaging and Meteorology. The event focuses on Remote sensing but sometimes tackles the closely related topic of Radar which is concerned with Backscatter. The study of Synthetic aperture radar encompasses disciplines such as Polarimetry, as well as fields such as Scattering, all of which overlap with one another.

Artificial intelligence research featured in International Geoscience and Remote Sensing Symposium incorporates concerns from various other topics such as Computer vision and Pattern recognition. As a part of it, discussions in Computer vision involve topics like Image segmentation and Image processing. Research on Pattern recognition addressed in International Geoscience and Remote Sensing Symposium frequently intersections with the field of Contextual image classification.

Side looking airborne radar, Continuous-wave radar, Bistatic radar, Radar engineering details and 3D radar are all subfields of Radar imaging research that were featured in the event. The Meteorology works, particularly on Wind speed are tackled in it. Concepts in Radiometer, as well as related topics in Microwave and Brightness temperature, are covered in the Radiometry research presented in the conference.

What are the most cited papers published at the conference?

• Rain profiling algorithm for the TRMM precipitation radar (860 citations)
• Global Precipitation Map using Satelliteborne Microwave Radiometers by the GSMaP Project : Production and Validation (493 citations)
• The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon (474 citations)

Research areas of the most cited articles at International Geoscience and Remote Sensing Symposium:

The conference papers focus largely on the fields of Remote sensing, Synthetic aperture radar, Artificial intelligence, Radar imaging and Computer vision. The conference articles hold forums on Remote sensing that merge themes from other disciplines such as Image resolution, Meteorology, Satellite, Interferometry and Radar. The featured Artificial intelligence studies in the most cited publications mainly concentrate on Pattern recognition but also cover areas of interest in Artificial neural network and Feature (computer vision).

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

• Remote sensing
• Artificial intelligence
• Synthetic aperture radar

The previous edition focused in particular on these issues:

International Geoscience and Remote Sensing Symposium primarily tackles Remote sensing, Synthetic aperture radar, Artificial intelligence, Radar imaging and Radar. It focuses on Remote sensing but the discussions also offer insight into other areas such as Image resolution, Meteorology and Satellite. The research on Synthetic aperture radar tackled can also make contributions to studies in the areas of Inverse synthetic aperture radar, Polarimetry, Space-based radar and Interferometry.

The event explores topics in Artificial intelligence which can be helpful for research in disciplines like Computer vision and Pattern recognition. The event addresses concerns in the field of Radar by exploring it in line with topics in Backscatter which intersect with Scattering subjects. The Radiometry research presented in International Geoscience and Remote Sensing Symposium explores the relationship between Radiometer and the closely related topic of Microwave.

The most cited articles from the last conference are:

• Rain profiling algorithm for the TRMM precipitation radar (860 citations)
• Global Precipitation Map using Satelliteborne Microwave Radiometers by the GSMaP Project : Production and Validation (493 citations)
• The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon (474 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 Geoscience and Remote Sensing Symposium (based on the number of publications) are:

• Jiancheng Shi (109 papers) published 23 papers at the last edition, 17 more than at the previous edition,
• Adriano Camps (97 papers) published 7 papers at the last edition, 1 less than at the previous edition,
• Irena Hajnsek (94 papers) published 15 papers at the last edition, 1 less than at the previous edition,
• Lorenzo Bruzzone (84 papers) published 10 papers at the last edition, 6 less than at the previous edition,
• Gerhard Krieger (67 papers) published 6 papers at the last edition, 1 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at International Geoscience and Remote Sensing Symposium (based on the number of publications) are:

• Chinese Academy of Sciences (1137 papers) published 312 papers at the last edition, 239 more than at the previous edition,
• German Aerospace Center (456 papers) published 66 papers at the last edition, 2 less than at the previous edition,
• Goddard Space Flight Center (379 papers) published 58 papers at the last edition, 32 more than at the previous edition,
• Beijing Normal University (356 papers) published 45 papers at the last edition, 17 more than at the previous edition,
• Wuhan University (224 papers) published 67 papers at the last edition, 36 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 2016 edition, 7.31% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.05% were posted by at least one author from the top 10 institutions publishing at the conference. Another 9.92% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.84% of all publications and 40.19% 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.