Background: Acinetobacter baumannii is one of the most common challenging pathogens in causing serious infections in intensive care units of modern hospital systems around the world and poses a serious threat to public and patient health. This study aims to analyze the network of scientific and empirical collaborations of A. baumannii researchers in the last three decades.Materials & Methods: The present study was performed using the Co-citation analysis technique. All A. baumannii publications indexed in the Web of Science Core Collection for the period 1990-2019 are the statistical population of the study. After an advanced search, 4473 documents were retrieved. A total of 18343 authors contributed to the publication of the retrieved documents. Ravar PreMap 1.0.0.0, NetDraw, and UCINET 6.528.0.0 software were utilized for data analysis.Results: Data analysis showed that the global publication of A. baumannii has risen. "Clinical Infectious Diseases," was the best journal, and "Seifert, Harald," the most influential researcher, and "Seifert, Harald * Higgins, Paul G," were identified as the best co-citation pair. Top researchers in A. baumannii were "Beceiro," "Alejandro," "HSU Li Yang," and "Seifert, Harald," respectively, based on degree, betweenness and closeness centrality indicators. Conclusion:Analysis of social networks A. baumannii presents an objective and realistic view to experts and planners in Medical Sciences. Also, the structure of A. baumannii's internal relationships and researchers' connections is determined objectively. Finally, researchers get acquainted with journals, scientists and organizations that are proliferated and effective and plan to collaborate with them in the future

PurposeThe goal of this study was to investigate the co-citation of information security patents in the United States Patent and Trademark Office (USPTO) database.Design/methodology/approachThis research is a scientometrics study that has been conducted using the co-citation analysis. The statistical population of the present study includes all patents of information security filed in the USPTO database from 1971 to 2015. As a result of this search, 30,736 patents were retrieved. In this investigation, UCINET software and its complementary package (NetDraw) were employed to plot scientific maps.FindingsThe findings of this study indicated an upward trend of patents in the field of information security between 1971 and 2015. The “California State” has the top world rank in information security inventions, followed by “Japan” and the “Washington State.” “VAN WIE, DAVID M” is the most cited inventor in the field of information security. The analysis of inventors' co-citation data indicated that “ADAMS, NEIL- LITTLE” and “HERBERT ANTHONY” had the highest co-citation rates with each other and were ranked first. The survey of high-citation inventors based on centrality indices indicated that “LEACH, PAUL J” graded first in degree centrality, “BENALOH, JOSH D” in betweenness centrality and “BENALOH, JOSH D” in closeness centrality.Originality/valueThe co-citation analysis of patents can show the most important patents and the relationships between them. Such analyses can be useful for large-scale policymaking or identification of existing gaps and attempting to address them.

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Background and Aim: Influenza is a global epidemic disease that always causes irreparable damage to individuals and countries' health, and the amount of research in this area is increasing. The primary purpose is to discover the hidden patterns and emerging events of global Influenza publications.Methods: This article is an applied type that has been done with an analytical approach and using the Co-word analysis method. This research's statistical population includes all the keywords of documents indexed with influenza's subject in the Web of Science Core Collection (WOSCC) in the last two decades (2000-2019). The number of keywords studied in this article is 26767. MeSH was used to determine the search strategy for document retrieval. SPSS and UCINET software were used for data analysis, and VOSviewer was utilized for drawing the map.Results: The keywords "Avian Influenza" and "Influenza Vaccine" with a frequency of 1302 and 1264 were the most frequent keywords in the subject area of influenza. Findings related to the analysis of clusters by the hierarchical clustering method led to the creation of 21 clusters in the field of influenza. Seventeen clusters with the most keywords were the largest cluster. The strategic diagram indicated that most influenza subject area clusters are located in the third quadrant of the strategic diagram and are considered emerging or declining subjects.Discussion and Conclusion: Discovering the intellectual structure, presenting hidden patterns and emerging events of global publications in the field of influenza can potentially help governments, communities, and research centers in understanding research advances, optimizing and managing future research topics, and effectively monitoring and policy-making activities—new research and allocation of facilities and budget.