IDEAS home Printed from https://ideas.repec.org/a/ags/ijaeri/339014.html
   My bibliography  Save this article

The Soil Organic Matter Decomposers: A Bibliometric Analysis

Author

Listed:
  • Akinpelu, O.A.
  • Olaleye, O.
  • Fagbola, O.

Abstract

The growing global concern about sustainable food systems has driven the search to know the impact of Soil Organic Matter (SOM) decomposers on SOM formation, stabilization and loss. Soil organic matter is the major inorganic nutrient pool for agricultural productivity and longterm soil sustainability. Globally, scientists use bibliometric analysis to map the body of knowledge and identify the trends in research topics by understanding the development and scientific contribution of a particular field of knowledge. This article provides a bibliometric examination of the effectiveness and development of soil organic matter during the period 2012 to 2022 based on documents published in journals indexed in SCI-Expanded in the Web of Science. According to the survey, the 1723 documents under examination were written by 5886 authors. The annual growth rate of research on soil organic matter is declining (-12.82%). From 1723 documents examined, Kuzyakov Y (n = 35) was the most prolific author, the University of Chinese Academy of Sciences (n = 98) was the most active institution, and Soil Biology & Biochemistry (n = 126) was the most popular journal. The USA and the Peoples' Republic of China are the most prominent nations with the strongest collaboration in soil organic matter related research. The results of this study can guide future research and provide crucial details for sustainable soil management.

Suggested Citation

  • Akinpelu, O.A. & Olaleye, O. & Fagbola, O., 2023. "The Soil Organic Matter Decomposers: A Bibliometric Analysis," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 9(4), August.
    • Handle: RePEc:ags:ijaeri:339014
    DOI: 10.22004/ag.econ.339014
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/339014/files/ijaer_09__34.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.339014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Loet Leydesdorff & Ismael Rafols, 2009. "A global map of science based on the ISI subject categories," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 348-362, February.
    2. Michael W. I. Schmidt & Margaret S. Torn & Samuel Abiven & Thorsten Dittmar & Georg Guggenberger & Ivan A. Janssens & Markus Kleber & Ingrid Kögel-Knabner & Johannes Lehmann & David A. C. Manning & Pa, 2011. "Persistence of soil organic matter as an ecosystem property," Nature, Nature, vol. 478(7367), pages 49-56, October.
    3. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    4. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    2. Mas-Tur, Alicia & Roig-Tierno, Norat & Sarin, Shikhar & Haon, Christophe & Sego, Trina & Belkhouja, Mustapha & Porter, Alan & Merigó, José M., 2021. "Co-citation, bibliographic coupling and leading authors, institutions and countries in the 50 years of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    3. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Romero-Castro, Noelia María & Pérez-Pico, Ada María, 2020. "Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front," Journal of Business Research, Elsevier, vol. 115(C), pages 475-485.
    4. David N. Matzig & Clemens Schmid & Felix Riede, 2023. "Mapping the field of cultural evolutionary theory and methods in archaeology using bibliometric methods," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    5. Patrick Röhm, 2018. "Exploring the landscape of corporate venture capital: a systematic review of the entrepreneurial and finance literature," Management Review Quarterly, Springer, vol. 68(3), pages 279-319, August.
    6. Yulei Xie & Ling Ji & Beibei Zhang & Gordon Huang, 2018. "Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    7. Raghu Raman & Ricardo Vinuesa & Prema Nedungadi, 2021. "Bibliometric Analysis of SARS, MERS, and COVID-19 Studies from India and Connection to Sustainable Development Goals," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    8. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    9. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    10. Rituparna Basu & Anil Kumar & Satish Kumar, 2023. "Twenty‐five years of consumer vulnerability research: Critical insights and future directions," Journal of Consumer Affairs, Wiley Blackwell, vol. 57(1), pages 673-695, January.
    11. Ignacio Rodríguez-Rodríguez & José-Víctor Rodríguez & Niloofar Shirvanizadeh & Andrés Ortiz & Domingo-Javier Pardo-Quiles, 2021. "Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining," IJERPH, MDPI, vol. 18(16), pages 1-29, August.
    12. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    13. Raymundo das Neves Machado & Benjamín Vargas-Quesada & Jacqueline Leta, 2016. "Intellectual structure in stem cell research: exploring Brazilian scientific articles from 2001 to 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 525-537, February.
    14. Pitambar Gautam & Ryuichi Yanagiya, 2012. "Reflection of cross-disciplinary research at Creative Research Institution (Hokkaido University) in the Web of Science database: appraisal and visualization using bibliometry," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 101-111, October.
    15. Ali Najmi & Taha H. Rashidi & Alireza Abbasi & S. Travis Waller, 2017. "Reviewing the transport domain: an evolutionary bibliometrics and network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 843-865, February.
    16. Prashant Sharma & Saurabh Sharma, 2023. "Mapping the Intellectual Structure of Mobile Payment Research: A Bibliometric Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    17. Rongying Zhao & Bikun Chen, 2014. "Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 985-997, November.
    18. Kumar, Satish & Chavan, Meena & Pandey, Nitesh, 2023. "Journal of International Management: A 25-year review using bibliometric analysis," Journal of International Management, Elsevier, vol. 29(1).
    19. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
    20. Debmalya Mukherjee & Satish Kumar & Naveen Donthu & Nitesh Pandey, 2021. "Research Published in Management International Review from 2006 to 2020: A Bibliometric Analysis and Future Directions," Management International Review, Springer, vol. 61(5), pages 599-642, October.

    More about this item

    Keywords

    Agribusiness;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ijaeri:339014. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: http://ijaer.in/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.