A Bibliometric Perspective Survey of Astronomical Object Tracking System

Authors

Mariyam Ashai, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, IndiaFollow
Rhea Gautam Mukherjee, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, IndiaFollow
Sanjana Mundharikar, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, IndiaFollow
Vinayak Dev Kuanr, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, IndiaFollow
Shivali Amit Wagle, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, IndiaFollow
Harikrishnan R, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, IndiaFollow

Date of this Version

2-15-2021

Abstract

Advancement in the techniques in the field of Astronomical Object Tracking has been evolved over the years for more accurate results in prediction. Upgradation in Kepler’s algorithm aids in the detection of periodic transits of small planets. The tracking of the celestial bodies by NASA shows the trend followed over the years It has been noted that Machine Learning algorithms and the help of Artificial Intelligence have opted for several techniques allied with motion and positioning of the Celestial bodies and yields more accuracy and robustness. The paper discusses the survey and bibliometric analysis of Astronomical Object Tracking from the Scopus database in analyzing the research by area, influential authors, institutions, countries, and funding agency. The 93 research documents are extracted from the research started in this research area till 6th February 2021 from the database. Bibliometric analysis is the statistical analysis of the research published as articles, conference papers, and reviews, which helps in understanding the impact of publication in the research domain globally. The visualization analysis is done with open-source tools namely GPS Visualizer, Gephi, VOS viewer, and ScienceScape. The visualization aids in a quick and clear understanding of the different perspective as mentioned above in a particular research domain search.