Bibliometric Analysis of Interdisciplinary Research

Yousaf Jawad^*
*Correspondence: Yousaf Jawad, Department of International Business Administration, Chinese Culture University, Taipei, Taiwan, Email:

Keywords

Interdisciplinary research • Bibliometric analysis • Collaboration

Introduction

Interdisciplinary research is a cornerstone of modern scientific inquiry, fostering collaboration across diverse fields to address complex issues that cannot be adequately tackled within the confines of a single discipline. It represents a dynamic approach to problem-solving, transcending traditional boundaries and leveraging the collective expertise of researchers from various domains. As the importance of interdisciplinary research grows, it is vital to employ bibliometric analysis to gain insights into the trends, challenges, and impact of this interdisciplinary work. This essay explores the concept of interdisciplinary research, discusses the value of bibliometric analysis, and presents key findings from bibliometric studies in this domain [1].

Literature Review

Interdisciplinary research involves the integration of knowledge, methods, and theories from multiple disciplines to address multifaceted issues. This approach acknowledges that many real-world problems are too complex to be understood or solved from a single perspective. It encourages researchers to collaborate across disciplines, bringing together their unique insights to create a more comprehensive understanding. In this approach, researchers from different disciplines work in parallel, but their interaction is limited and they do not integrate their perspectives. This approach goes beyond multidisciplinarity by actively integrating different disciplines' perspectives to create a holistic understanding of the problem. Cross-disciplinary research encourages the exchange of ideas and knowledge across disciplines, leading to the development of novel solutions [2].

Discussion

Bibliometric analysis is a valuable tool for examining interdisciplinary research for several reasons. Bibliometric analysis can help identify key contributors to interdisciplinary research. Researchers who bridge multiple disciplines and collaborate across boundaries play a critical role in advancing interdisciplinary knowledge. By analyzing citation patterns and impact factors, bibliometrics allows us to assess the influence and reach of interdisciplinary research. Understanding how research is cited and referenced across disciplines can provide insights into its significance. Bibliometric techniques, such as co-authorship networks and co-citation analysis, enable researchers to map the landscape of interdisciplinary research. This mapping can help identify emerging trends and research clusters. Bibliometric analysis can be used to evaluate interdisciplinary journals and publications. Examining the journals that publish interdisciplinary research can provide insights into the dissemination of knowledge in this field [3].

Bibliometric analysis has shown a consistent increase in interdisciplinary research over the past few decades. This growth reflects the recognition of its importance in tackling complex societal issues. Interdisciplinary research often has a broader societal impact, addressing practical problems and influencing policy decisions. Bibliometric studies have demonstrated that this type of research can result in higher citation rates, indicating its significance. Co-authorship and co-citation network analysis has helped map the landscape of interdisciplinary research. Researchers can identify influential figures and collaboration patterns, fostering further interdisciplinary collaboration. Bibliometric studies have also highlighted the challenges of using traditional databases for interdisciplinary research analysis. The need for more accurate representation of interdisciplinary work in these databases is evident. Bibliometric analysis can shed light on the role of funding agencies in promoting interdisciplinary research. By tracking funding patterns and their correlation with interdisciplinary projects, researchers can understand the drivers of this type of research [4-6].

Conclusion

Interdisciplinary research is a dynamic and essential approach to tackling complex problems. Bibliometric analysis plays a vital role in understanding its growth, impact, and challenges. As the boundaries between disciplines blur and researchers increasingly collaborate across fields, bibliometric analysis will continue to evolve to capture and analyze this multifaceted research landscape. Through bibliometric studies, we can gain deeper insights into the past, present, and future of interdisciplinary research, ultimately contributing to more effective problem-solving and innovation in our rapidly changing world.

Acknowledgement

None.

Conflict of Interest

There are no conflicts of interest by author.

References

1. Du, Huibin, Linxue Wei, Marilyn A. Brown and Yangyang Wang, et al. "A bibliometric analysis of recent energy efficiency literatures: An expanding and shifting focus." Energy Effic 6 (2013): 177-190.

Google Scholar, Crossref, Indexed at

2. Ziabina, Yevheniia and Tetyana Pimonenko. "The green deal policy for renewable energy: A bibliometric analysis." J Econ 3 (2020): 147-168.

Google Scholar, Crossref, Indexed at

3. Alsmadi, Ayman Abdalmajeed and Marwan Alzoubi. "Green economy: Bibliometric analysis approach." Int J Energy Econ Policy 12 (2022): 282-289.

Google Scholar, Crossref, Indexed at

4. Mentel, Grzegorz, Anna Lewandowska, Justyna Berniak-Wozny and Waldemar Tarczynski. "Green and renewable energy innovations: A comprehensive bibliometric analysis." Energies 16 (2023): 1428.

Google Scholar, Crossref, Indexed at

5. Popp, Werner L., Sophie Schneider, Jessica Bar and Philipp Bosch, et al. "Wearable sensors in ambulatory individuals with a spinal cord injury: From energy expenditure estimation to activity recommendations." Front Neurol 10 (2019): 1092.

Google Scholar, Crossref, Indexed at

6. Okumus, Ilyas, Arif Eser Guzel and Mehmet Akif Destek. "Renewable, non-renewable energy consumption and economic growth nexus in G7: Fresh evidence from CS-ARDL." Environ Sci Pollut Res 28 (2021): 56595-56605.

Google Scholar, Crossref, Indexed at