## 1 Introduction  
Optical coherence tomography (OCT) is a non-invasive imaging technique based on the principle of low-coherence light interferometry. It uses infrared light to obtain tomographic images on a micrometric scale. The light reflected on the tissue produces images of cross-sections with an axial resolution of less than 10 microns [1]. The high resolution and different intensities of reflected light allow an almost histological segmentation of the different layers of the retina, as well as other anatomic structures. During the past two decades, OCT technology has been used to evaluate a variety of optic neuropathies, including glaucoma and non-glaucomatous optic neuropathies, as well as other neurodegenerative diseases (NDD) [2; 3; 4; 5]. OCT devices provide accurate and reproducible measurements of the peripapillary retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), and also retinal and macular thickness [6; 7]. The RNFL is composed of axons from the retinal ganglion cells, so the measurement of the thickness of this layer indicates optic nerve damage. Assessment of the RNFL provides an accessible means to diagnose and monitor optic nerve damage. OCT technology is widely used to diagnose and monitor a wide variety of ophthalmological conditions including retinal diseases and glaucoma [8; 9; 10]. The images provide objective information that can be evaluated for abnormality and tracked to detect disease progression [11]. It is important to mention that OCT technology has improved in recent years, going from time domain to spectral domain, which provides a speed improvement of around 100 times. One of the fundamental problems that the researchers found with the previous equipments was the \"speckle noise\" and the quality of the images that the OCT offered. However, in the early 2000s, some techniques appeared to improve it, such as wavelet analysis [12], deconvolution methods [13], anisotropic diffusion [14] and rotating kernel transformation [15]. However, these methods had the limitation of edge blur, which was a problem when speckle noise was vital. To overcome this, different algorithms have emerged to improve the image in low light and precise contrast [16], and also to improve the images accompanied by \"speckle noise\" [17]. Moreover, it has been demonstrated that OCT-measured RNFL, GCL and Bruch's membrane opening (BMO) thickness correlate with brain atrophy, and this often is associated clinically with visual dysfunction, allowing the eye to be an appropriate model for studying the mechanisms of ophthalmological and NDD [18; 19; 20; 21]. The current study uses bibliometric analysis to evaluate the growth of scientific literature that reports the use of OCT technology for assessing optic neuropathies and NDD. Bibliometric studies are devoted to examining a specific scientific discipline by analyzing the publications on this subject, using a wide variety of evaluation tools [22], both qualitative and quantitative [23]. The term bibliometry refers to a group of bibliographic searches and scientific information that allows analysis of production and dispersion of a specific topic in a statistically quantitative way [24]. Bibliometric statistical indicators allow measurement of the amount of scientific publications and their characteristics [25]. The parameters that are used in the evaluation process of any activity can be defined as indicators. Both production and dispersion are indicators of impact [26]. The production allows one to know if a specific topic is widely disseminated or not. Moreover, it shows which authors write more about the topic. The dispersion shows where these manuscripts are published. The impact factor (IF) is used to measure the visibility and usefulness of the source publications. It also allows one to determine the interest that documents have in terms of their greater or lesser use by different users. The IF, devised by [PERSON] [27], is published annually as part of the _Journal Citation Report_.