Related Experiment Video
Updated: Aug 10, 2026
12:00
Preparing E18 Cortical Rat Neurons for Compartmentalization in a Microfluidic Device
Published on: October 1, 2007
20.1K
Viewing Computer Science through Citation Analysis: Salton and Bergmark Redux
Sitaram Devarakonda1, Dmitriy Korobskiy1, Tandy Warnow2
1Netelabs, NET ESolutions Corporation, McLean, VA.
Scientometrics
|March 22, 2021
Summary
Computer science literature has grown significantly, showing increased publications and scope. Analysis of DBLP data reveals diverse research clusters, some connecting with external fields like biological sciences.
Area of Science:
- Computer Science
- Bibliometrics
- Information Science
Background:
- Computer science has undergone substantial growth and diversification in the past two decades.
- Understanding the evolving structure of computer science is crucial for researchers and institutions.
Purpose of the Study:
- To analyze the structure and evolution of computer science literature.
- To identify key clusters and their relationships within the discipline.
Main Methods:
- Analysis of a large sample of computer science publications from the DBLP database.
- Construction of article-level clusters using direct citation and co-citation analysis.
- Reconciliation of clusters with the All Science Journal Classification (ASJC) subject categories.
Main Results:
- Both direct citation and co-citation clustering indicate an expansion in the volume and scope of computer science publications.
- Identified cross-category clusters, demonstrating interdisciplinary connections and internal specialization.
- Some clusters show significant interaction with external fields, such as biological sciences, while others are more insular.
Conclusions:
- The study confirms a notable increase in computer science publications and their broadening scope.
- Bibliometric analysis reveals a complex and evolving structure within the discipline.
- Interdisciplinary links and internal focus coexist within the dynamic landscape of computer science research.
Related Concept Videos
01:37Social Loafing
Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated, individuals become less...
01:25Overview of Electron Microscopy
The wavelengths of visible light ultimately limit the maximum theoretical resolution of images created by light microscopes. Most light microscopes can only magnify 1000X, and a few can magnify up to 1500X. Electrons, like electromagnetic radiation, can behave like waves, but with wavelengths of 0.005 nm, they produce significantly greater resolution up to 0.05 nm as compared to 500 nm for visible light. An electron microscope (EM) can create a sharp image that is magnified up to 2,000,000X.
01:07Scanning Electron Microscopy
A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
Fundamental Principles
Accelerated...
Fundamental Principles
Accelerated...
01:18Guidelines and Strategies for Safe Computer Charting
The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
Maintain Confidentiality and Security:
01:11Statistical Analysis: Overview
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
01:20Biostatistics: Overview
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
Discrete variables are...