Main Information
Overall Scope and Temporal Coverage:
- Timespan: 1998-2025: This indicates that your collection spans a period of 27 years. The inclusion of 2025 suggests potential early access articles or database indexing practices that include future publications. The period covered is substantial enough to observe trends and changes within the research area.
- Annual Growth Rate %: 19.14: This is a remarkably high annual growth rate! It suggests a rapidly expanding field of research. This could be driven by new discoveries, increased funding, emerging methodologies, or growing interest from researchers. This high growth rate needs further investigation. Is it consistent throughout the entire period, or is it concentrated in more recent years? A visual representation of the number of publications per year would be helpful to understand the growth pattern.
Productivity and Output:
- Documents: 387: The number of documents represents the total scholarly output within your defined search parameters. While 387 isn’t a massive number, considering the high growth rate, it could represent a focused, emerging niche area.
- Sources (Journals, Books, etc.): 195: Having 195 different sources publishing 387 documents shows a relatively broad dissemination of research across various publication outlets. It implies that the research is not concentrated in just a few core journals.
- References: 3307: This reflects the collective knowledge base upon which these documents are built. The ratio of references to documents (3307/387 ≈ 8.54) indicates the average number of sources cited per document. This figure reflects the depth of engagement with prior research. It is a middling value, but depends heavily on the subject field.
Impact and Influence:
- Average citations per doc: 16.54: This is a crucial indicator of the impact and visibility of the research within your collection. An average of 16.54 citations per document suggests that, on average, the publications are being recognized and used by other researchers in the field. This is a good starting point, but consider the age of the documents. More recent publications will naturally have fewer citations than older ones. *Citation analysis needs to be nuanced by considering the age of the documents*. Analyzing citation trends over time would offer a more complete picture.
Authorship and Collaboration:
- Authors: 3085: A large number of authors compared to the number of documents (3085 authors for 387 documents) highlights the collaborative nature of research in this field. This suggests the prevalence of multi-authored publications.
- Authors of single-authored docs: 0; Single-authored docs: 0: The complete absence of single-authored documents definitively points to a highly collaborative research environment. This is important to note as it will influence how you interpret other metrics.
- Co-Authors per Doc: 13.5: The high average of 13.5 co-authors per document reinforces the picture of significant collaboration. It is exceptionally high and warrants careful consideration. Is this a characteristic of the subject area, or a sign of specific research practices? Could it be related to large-scale research projects or data collection efforts?
- International co-authorships %: 34.63: This indicates a substantial level of international collaboration. Roughly one-third of the publications involve authors from different countries, suggesting that the research area has a global reach and that researchers are actively engaging with international partners.
Content Focus:
- Keywords Plus (ID): 3691; Author’s Keywords (DE): 4240: These values are useful for identifying the key themes and topics explored within the collection. The relatively high numbers suggest a diverse range of keywords, potentially reflecting the interdisciplinary nature of the research. Analyzing the frequency and co-occurrence of these keywords can reveal the core research themes and their relationships.
Document Types:
- The breakdown of document types (article, book, book chapter, conference paper, etc.) provides insights into the preferred modes of communication within the field. The dominance of “article” (170) indicates that journal publications are the primary means of disseminating research findings. The presence of a significant number of “conference papers” (73) suggests that conferences play an important role in knowledge sharing and networking within the community. The ‘review’ (89) count is also significant, suggesting a field where synthesis and critical evaluation are important.
Critical Discussion and Further Investigation:
- The exceptionally high annual growth rate (19.14%) and the number of co-authors per document (13.5) stand out. It’s crucial to investigate *why* these values are so high. Is this a relatively new research area experiencing rapid expansion? Are there specific research programs or initiatives that encourage large collaborative teams?
- Citation analysis should be refined. The average citations per document (16.54) is a useful starting point, but you should analyze citation trends over time, normalize for document age, and compare citation rates across different document types and sources. A citation distribution analysis might also be helpful.
- Keyword analysis can be used to identify the most important research themes and track their evolution over time.
- Consider analyzing the most prolific authors and sources to identify key players and influential journals in the field.
- The dominance of certain document types (e.g., articles, conference papers, reviews) may indicate preferences for specific communication channels within the research community.
In Summary:
Your bibliometric analysis paints a picture of a rapidly growing and highly collaborative research field with a good, but not stellar, level of impact based on citations. The strong international collaboration suggests a global research community. The high co-authorship rate requires further investigation to understand its underlying drivers. Further analysis of citation trends, keyword co-occurrence, and the contributions of leading authors and sources will provide a more nuanced understanding of the research landscape.
Remember to always consider the context of your specific research question and the limitations of bibliometric data when interpreting these results. Good luck!
Annual Scientific Production
Average Citations Per Year
Three-Field Plot
Overall Structure and Interpretation
This Three-Field Plot visualizes the relationships between authors (AU), cited references (CR), and keywords (KW_Merged) in your SCOPUS dataset. The thickness of the connections (lines) indicates the strength or frequency of the association between items in each field. By examining these connections, we can understand how particular authors are influenced by certain cited references, and the topics (keywords) that emerge from this relationship.
Key Observations and Potential Insights
1. Authors and Keywords:
* “life cycle assessment” is a central theme, which makes sense as many authors seem to be actively involved in this domain. Also, the keywords show the relevance of related terms such as “sustainable development”, “circular economy”, “ecodesign”, and “environmental management”.
* “Artificial intelligence” is strongly associated with the author labeled ‘m’.
2. Cited References and Authors:
* Some cited references have a strong influence across multiple authors, indicating foundational or highly influential work. Pay close attention to the cited references with the thickest connections. These are likely seminal papers in your field.
* The specific references cited are connected to multiple authors in the “AU” field. This implies that those cited references are fundamental to the research of those authors.
* Analyze the co-occurrence of authors and cited references. Are there clusters of authors who consistently cite the same papers? This could highlight research groups or schools of thought within the broader field.
3. Cited References and Keywords:
* The most frequent cited references, or nodes are connected to specific keywords. Understanding these connections is important to characterize the intellectual structure and thematic elements of this field.
Data-Driven Questions for Further Exploration
- What are the specific research questions or problems that connect the authors, cited references, and keywords? Dive into the actual papers to understand the underlying context.
- Are there any surprising or unexpected connections? Look for links between seemingly unrelated authors, references, or keywords. These could indicate emerging trends or interdisciplinary areas.
- How has the research landscape evolved over time? If your dataset includes publication years, you can analyze how the connections between authors, references, and keywords have changed over time.
- What are the implications of these findings for future research? Identify gaps in the literature or potential areas for future investigation based on the connections revealed by the analysis.
In summary:
The Three-Field Plot provides a high-level overview of the intellectual structure of your research area. By carefully examining the connections between authors, cited references, and keywords, you can gain valuable insights into the key themes, influential works, and potential areas for future research.
I hope this interpretation is helpful! Let me know if you have any more questions.