American Psychological Association 6th edition

Pandey, J., & Srinivas, V. V. (2025). Fuzzy Membership Based Weighted Modularity Maximization Approach for Sectorization of Water Distribution Network into Dynamic District Metered Areas. Water Resources Management: An International Journal - Published for the European Water Resources Association (EWRA), 39(15), 8181-8198. https://doi.org/10.1007/s11269-025-04337-w

ISO-690 (author-date, English)

PANDEY, Jyotsna und SRINIVAS, Vemavarapu V., 2025. Fuzzy Membership Based Weighted Modularity Maximization Approach for Sectorization of Water Distribution Network into Dynamic District Metered Areas. Water Resources Management: An International Journal - Published for the European Water Resources Association (EWRA). 1 Dezember 2025. Vol. 39, no. 15, p. 8181-8198. DOI 10.1007/s11269-025-04337-w.

Modern Language Association 9th edition

Pandey, J., und V. V. Srinivas. „Fuzzy Membership Based Weighted Modularity Maximization Approach for Sectorization of Water Distribution Network into Dynamic District Metered Areas“. Water Resources Management: An International Journal - Published for the European Water Resources Association (EWRA), Bd. 39, Nr. 15, Dezember 2025, S. 8181-98, https://doi.org/10.1007/s11269-025-04337-w.

Mohr Siebeck - Recht (Deutsch - Österreich)

Pandey, Jyotsna/Srinivas, Vemavarapu V.: Fuzzy Membership Based Weighted Modularity Maximization Approach for Sectorization of Water Distribution Network into Dynamic District Metered Areas, Water Resources Management: An International Journal - Published for the European Water Resources Association (EWRA) 2025, 8181-8198.

Emerald - Harvard

Pandey, J. und Srinivas, V.V. (2025), „Fuzzy Membership Based Weighted Modularity Maximization Approach for Sectorization of Water Distribution Network into Dynamic District Metered Areas“, Water Resources Management: An International Journal - Published for the European Water Resources Association (EWRA), Vol. 39 No. 15, S. 8181-8198.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.