What is he best known for?
The fields of study he is best known for:
- Statistics
- Software
- Machine learning
The scientist’s investigation covers issues in Software, Knowledge management, Cost estimate, Data mining and Software development.
His work on Configuration management, Software system and Change impact analysis as part of general Software research is frequently linked to Perspective and Meaning, thereby connecting diverse disciplines of science.
His studies in Knowledge management integrate themes in fields like Software analytics, Software peer review, Software Engineering Process Group, Empirical research and Social software engineering.
Lefteris Angelis has researched Cost estimate in several fields, including Software productivity and Estimation.
His Data mining research incorporates themes from Cost database, Multiple comparisons problem and Point estimation.
His Software development research is multidisciplinary, incorporating elements of Software engineering, Systems engineering and Cost contingency.
His most cited work include:
- Code quality analysis in open source software development (244 citations)
- A Simulation Tool for Efficient Analogy Based Cost Estimation (195 citations)
- Ranking and Clustering Software Cost Estimation Models through a Multiple Comparisons Algorithm (141 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Software, Data mining, Software development, Cost estimate and Artificial intelligence.
The various areas that Lefteris Angelis examines in his Software study include Visualization, Empirical research, Software engineering and Data science.
As part of the same scientific family, Lefteris Angelis usually focuses on Data mining, concentrating on Software metric and intersecting with Software sizing.
His research in Software development tackles topics such as Knowledge management which are related to areas like Competence and Vocational education.
His Cost estimate research is multidisciplinary, relying on both Cost estimation models, Estimation and Project management.
His Artificial intelligence research includes elements of Machine learning and Pattern recognition.
He most often published in these fields:
- Software (29.32%)
- Data mining (18.85%)
- Software development (13.61%)
What were the highlights of his more recent work (between 2018-2021)?
- Software (29.32%)
- Software engineering (10.47%)
- Data science (8.90%)
In recent papers he was focusing on the following fields of study:
Lefteris Angelis mainly investigates Software, Software engineering, Data science, Computational biology and Pandemic.
His Software development and Social coding study are his primary interests in Software.
His research integrates issues of Dynamics and Set in his study of Software development.
The study incorporates disciplines such as Variety, Benchmarking, Data-driven and Software quality in addition to Software engineering.
His Data science research integrates issues from Information technology, Software Design and Development and Big data.
His Analytics research is multidisciplinary, incorporating perspectives in Vocational education, Expert system and Human resource management, Knowledge management.
Between 2018 and 2021, his most popular works were:
- Extracting Knowledge From On-Line Sources for Software Engineering Labor Market: A Mapping Study (6 citations)
- A novel feature selection method based on comparison of correlations for human activity recognition problems (3 citations)
- On the necessity of multiple university rankings (3 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Software
- Artificial intelligence
Lefteris Angelis focuses on Software engineering, Software, State, Statistical analysis and Accounting.
His Software engineering study incorporates themes from Data-driven, Benchmarking, Digital content and Software development effort estimation.
His work in the fields of Software, such as Software Design and Development and Software development, overlaps with other areas such as Teamwork and Graph theory.
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