Impact Factor, h-index, i10-index and i20-index of Webology

The purpose of this editorial note was to conduct a citation analysis of the Webology journal in order to show the journal impact factor, h-index, i10-index, i20-index, and patent citations. This note indicates to what extent the Webology journal is used and cited by the international scientific community. The results show that the total number of citations to Webology papers on Google Scholar was 2423 and the total number of citations received by i20 papers (i.e., 24 papers with at least 20 citations) was 1693. This reveals that i20 papers received 70 percent of all citations to Webology

Patent Citations to Webology Journal on the USPTO Database

Patents are an important link of science and technology in any field. The role and influence of patents on scientific research has become increasingly important in recent years. The purpose of the present research was to analyze citations to the Webology journal in patents issued by the United States Patent and Trademark Office (USPTO). This study begins with an overview on the importance of patents citations to journals and compares the citation counts provided by the USPTO for Webology, as an open access journal in the field of Library and Information Science (LIS) and Computer Science. This study indicates to what extent the Webology journal is used and cited by inventors in the USPTO. We analyzed the distributions of patent citations to Webology. The results show that the total number of patent citations to Webology papers on the USPTO was 13. It seems that technical papers (technology-oriented papers) related to the World Wide Web and search engines published in Webology attracted more citations from patents

The Academic Midas Touch: An Unconventional Scientometric for Evaluating Academic Excellence

The recognition of academic excellence is fundamental to the scientific and academic endeavor. In particular, academic scientometrics that are able to computationally capture academic excellence are of great interest. In this work, we propose and investigate an unconventional scientometric termed the Academic Midas Touch (AMT) that refers to a researcher's tendency to produce outstanding publications (i.e., golden publications). Using an extensive dataset of mathematicians, both award-winning and otherwise, we show that the AMT scientometric is a valid and arguably valuable scientometric for the distinction of academic excellence.Comment: 8 pages, 3 figure

Patent Citations to Webology Journal on the USPTO Database

Patents are an important link of science and technology in any field. The role and influence of patents on scientific research has become increasingly important in recent years. The purpose of the present research was to analyze citations to the Webology journal in patents issued by the United States Patent and Trademark Office (USPTO). This study begins with an overview on the importance of patents citations to journals and compares the citation counts provided by the USPTO for Webology, as an open access journal in the field of Library and Information Science (LIS) and Computer Science. This study indicates to what extent the Webology journal is used and cited by inventors in the USPTO. We analyzed the distributions of patent citations to Webology. The results show that the total number of patent citations to Webology papers on the USPTO was 13. It seems that technical papers (technology-oriented papers) related to the World Wide Web and search engines published in Webology attracted more citations from patents

Bibliometric Analysis of the Top Ten Percent Iranian Medical Researchers Based on the I10-index and the H-index in Web of Science

The i10-index is one of the newest scientometric indicators used to evaluate researchers in any field of science. The present study analyzes the top ten percent of Iranian medical researchers using the i10-index in the Web of Science database. The present study is descriptive-analytical research conducted using a scientometric approach. The research population includes the top ten percent of Iranian medical researchers whose publications were indexed in the Web of Science database between 2011 and 2020. Descriptive and inferential statistics and i10-index were used to analyze the data using the HistCite and the BibExcel software. Then, the results were sorted in the Excel software. Finally, the h-index and the number of citations of all researchers were compared with their i10-index. The findings show that in medical sciences, Iran ranked 23rd in the world, sixth in Asia, and first in the Middle East in Web of Science in the period 2011-2020, and the growth of scientific publications shows an upward trend. Moreover, there is a direct and positive relationship between the h-index and the i10-index of the top ten percent of medical researchers. This is confirmed with a correlation of 0.645. Also, a correlation of 0.269 shows a direct and positive relationship between the number of citations and the i10-index of the top ten percent of medical researchers. The results show that there is a positive and direct relationship between the h-index and the number of citations of the top ten percent of Iranian medical researchers with their i10-index

Patent Citations to Journals: The Innovation Impact of the Lancet

The purpose of this study was to analyze citations to the Lancet journals in patents based on the Lens database. This study indicates to what extent the Lancet is used and cited by inventors worldwide. We analyzed the innovation impact and distributions of patent citations to the Lancet. The primary source of patent data utilized in this study was the Lens database (www.lens.org). This study indicates to what extent the Lancet is used and cited by inventors. We analyzed the distributions of patent citations to the Lancet. The results show that the total number of patent citations to the Lancet papers on the Lens was 114,069. Most patents cited to the Lancet papers have been granted by the United States, WIPO, European Patens, China, Japan, Korea, Germany, UK, France, and Russia. It was noted that the highest number of patents were in the A class (Human necessities), especially the following CPC subclass: A61P 35/00 (Antineoplastic agents: Drugs); A61P 43/00 (Drugs for specific purposes, not provided for in groups A61P 1/00-A61P 41/00); A61K 45/06 (Mixtures of active ingredients without chemical characterisation, e.g. antiphlogistics and cardiaca); A61P 29/00 (Non-central analgesic, antipyretic or antiinflammatory agents, e.g. antirheumatic agents; Non-steroidal antiinflammatory drugs [NSAID]); A61P 25/00 (Drugs for disorders of the nervous system). This study analyzed the frequency of patent citations to the Lancet. The results show that the total number of patent citations to papers published in the Lancet was 114,069. The Lancet's papers are cited in patents of the Class A (Human Necessities). Thus, the Lancet serves the human necessities and health care

Five hundred most-cited papers in the computer sciences: Trends, relationships and common factors

This study reveals common factors among highly cited papers in the computer sciences. The 500 most cited papers in the computer sciences published between January 2013 and December 2017 were downloaded from the Web of Science (WoS). Data on the number of citations, number of authors, article length and subject sub-discipline were extracted and analyzed in order to identify trends, relationships and common features. Correlations between common factors were analyzed. The 500 papers were cited a total of 10,926 times: the average number of citations per paper was 21.82 citations. A correlation was found between author credibility (defined in terms of the QS University Ranking of the first named author’s affiliation) and the number of citations. Authors from universities ranked 350 or higher were more cited than those from lower ranked universities. Relationships were also found between journal ranking and both the number of authors and the article length. Higher ranked journals tend to have a greater number of authors, but were of shorter length. The article length was also found to be correlated with the number of authors and the QS Subject Ranking of the first author’s affiliation. The proportion of articles in higher ranked journals (journal quartile), the length of articles and the number of citations per page were all found to correlate to the sub-discipline area (Information Systems; Software Engineering; Artificial Intelligence; Interdisciplinary Applications; and Theory and Methods)

Application of Lotka’s Law and i10-Index with the Number of Authors of Articles in Chemistry in Iran Published between 2000 and 2020

The primary objective of the current research is to compare Lotka's law of author productivity and the Google Scholar i10-Index with the number of authors and their articles in the field of chemistry in Iran indexed in the Web of Science (WoS) from 2000 to 2020. This study is a descriptive-qualitative type of research that was carried out using the scientometric approach. The statistical population of the present study consisted of all Iranian articles published in the field of chemistry indexed in the Science Citation Index Expanded. Some scientometric software packages were used to analyze the data with Lotka’s law and i10-index. The most prolific Iranian authors in chemistry were Mohamadreza Ganjali from the University of Tehran, Majid Heravi from Alzahra University, and Mojtaba Shamsipur from the Razi University of Kermanshah, all being acclaimed scientists in Iran. The results suggest that the validity of Lotka’s law was not confirmed in measuring Iranian authors' productivity in the field of chemistry. However, it is hard to draw a negative conclusion about the validity of Lotka’s law from a single experiment. Moreover, investigating the i10-index revealed that 85% of the Iranian authors with more than one publication have an i10-index. The results also indicated that the validity of Lotka’s law cannot be confirmed, considering the Iranian chemistry papers indexed in the WoS. Furthermore, the results imply that the i10-index closely follows the authors with over one published paper and presents a high capability application in this field as a credible index