Preeti Mulay

640 total citations
53 papers, 356 citations indexed

About

Preeti Mulay is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Preeti Mulay has authored 53 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Information Systems and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Preeti Mulay's work include Advanced Clustering Algorithms Research (11 papers), Smart Grid Energy Management (7 papers) and Data Stream Mining Techniques (7 papers). Preeti Mulay is often cited by papers focused on Advanced Clustering Algorithms Research (11 papers), Smart Grid Energy Management (7 papers) and Data Stream Mining Techniques (7 papers). Preeti Mulay collaborates with scholars based in India, Sweden and Qatar. Preeti Mulay's co-authors include Rahul Joshi, Parag Kulkarni, Mandaar B. Pande, Dhanya Pramod, Ravi Kulkarni, Bikash K. Behera, Saif Al‐Kuwari, Ahmed Farouk, Ketan Kotecha and Prayag Tiwari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Computer Methods in Biomechanics & Biomedical Engineering.

In The Last Decade

Preeti Mulay

49 papers receiving 324 citations

Peers

Preeti Mulay

EEE

HIM

Nor Azura Md Ghani Malaysia

Moaiad Ahmad Khder Bahrain

Nasser Taleb United Arab Emirates

Abdul Khalique Shaikh Oman

Fredrick Mtenzi Tanzania

Nihat Kasap Türkiye

Silmi Fauziati Indonesia

Saikat Gochhait India

Seong-Taek Park South Korea

Muhammad Binsawad Saudi Arabia

Nor Azura Md Ghani Malaysia

Preeti Mulay

107 ×0.8

43 ×0.5

EEE

52 ×0.8

20 ×0.8

HIM

19 ×0.8

Citations per year, relative to Preeti Mulay Preeti Mulay (= 1×) peers Nor Azura Md Ghani

Countries citing papers authored by Preeti Mulay

Since Specialization

Citations

This map shows the geographic impact of Preeti Mulay's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Preeti Mulay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preeti Mulay more than expected).

Fields of papers citing papers by Preeti Mulay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Preeti Mulay. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Preeti Mulay. The network helps show where Preeti Mulay may publish in the future.

Co-authorship network of co-authors of Preeti Mulay

This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Mulay. A scholar is included among the top collaborators of Preeti Mulay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Preeti Mulay. Preeti Mulay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mulay, Preeti, et al.. (2025). The role of smart electricity meter data analysis in driving sustainable development. MethodsX. 14. 103196–103196. 6 indexed citations

Mulay, Preeti, et al.. (2024). DIC2FBA: Distributed Incremental Clustering with Closeness Factor Based Algorithm for Analysis of Smart Meter Data. International Journal of Computing and Digital Systems. 15(1). 29–38. 2 indexed citations

Mulay, Preeti, et al.. (2024). Top 100 most cited articles on Patient Reported Experience Measures (PREM): insights and perspectives. Journal of Patient-Reported Outcomes. 8(1). 114–114. 1 indexed citations

Mulay, Preeti, et al.. (2024). Bio-inspired algorithms for feature engineering: analysis, applications and future research directions. Information Discovery and Delivery. 53(1). 56–71. 2 indexed citations

Mulay, Preeti, et al.. (2023). Blood Pressure Estimation Using Emotion-Based Optimization Clustering Model. SHILAP Revista de lepidopterología. 12(1). 123–140. 2 indexed citations

Behera, Bikash K., et al.. (2023). Explainable quantum clustering method to model medical data. Knowledge-Based Systems. 267. 110413–110413. 22 indexed citations

Mulay, Preeti, et al.. (2023). Innovative ICT in Smart Buildings Domain: A Pantentometric Analysis. Recent Patents on Engineering. 18(5).

Mulay, Preeti, et al.. (2023). Mapping Climate Change Mitigation Strategies Adopted by Industries: An Overview from First Commitment of Kyoto Protocol (2009–2023). SHILAP Revista de lepidopterología. 27(1). 775–796. 3 indexed citations

Joshi, Rahul, et al.. (2023). Detection of Pulmonary Embolism: Workflow Architecture and Comparative Analysis of the CNN Models. International Journal on Recent and Innovation Trends in Computing and Communication. 11(4). 299–314. 1 indexed citations

10.

Mulay, Preeti, et al.. (2023). BibPat: Quantum K-means Clustering with Incremental Enhancement. Recent Patents on Engineering. 18(6). 1 indexed citations

11.

Tiwari, Amit Kumar, et al.. (2022). Cheminformatics: A Patentometric Analysis. 10(1). 13–29. 2 indexed citations

12.

Mulay, Preeti, et al.. (2021). Unleashing analytics to reduce electricity consumption using incremental clustering algorithm. International Journal of Energy Sector Management. 16(2). 357–371. 6 indexed citations

13.

Pande, Mandaar B. & Preeti Mulay. (2020). Bibliometric Survey of Quantum Machine Learning. Science & Technology Libraries. 39(4). 369–382. 21 indexed citations

14.

Mulay, Preeti, et al.. (2020). Bibliometric Survey on Incremental Learning in Text Classification Algorithms for False Information Detection. 4 indexed citations

15.

Mulay, Preeti, et al.. (2019). Moral (Altruistic) Csr Is The Strategic Csr: A Bibliometric Analysis Study. International journal of scientific and technology research. 8(10). 2745–2750. 3 indexed citations

16.

Mulay, Preeti & Rahul Joshi. (2019). Journey Of CFBA Variants With Advancement In Text-Mining And Subspace-Clustering. International journal of scientific and technology research. 8(8). 467–473. 1 indexed citations

17.

Joshi, Rahul, et al.. (2019). Diabetes Analysis And Prediction Using Random Forest, KNN, Naïve Bayes, And J48: An Ensemble Approach. International journal of scientific and technology research. 8(9). 1346–1354. 13 indexed citations

18.

Pawar, Ambika, et al.. (2015). Variant of COBWEB Clustering for Privacy Preservation in Cloud DB Querying. Procedia Computer Science. 50. 363–368. 8 indexed citations

19.

Joshi, Rahul, et al.. (2015). Analytical Network Process (ANP) to Recommend an Ice Cream to a Diabetic Patient. International Journal of Computer Applications. 121(12). 49–52. 3 indexed citations

20.

Mulay, Preeti. (2009). Incremental Learning Using Semi-supervised And Incremental Clustering.. International Conference on Artificial Intelligence. 351–356. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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