Jayesh Rane

3.3k total citations · 1 hit paper
87 papers, 920 citations indexed

About

Jayesh Rane is a scholar working on Artificial Intelligence, Management Science and Operations Research and Building and Construction. According to data from OpenAlex, Jayesh Rane has authored 87 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Management Science and Operations Research and 14 papers in Building and Construction. Recurrent topics in Jayesh Rane's work include Impact of AI and Big Data on Business and Society (11 papers), Big Data and Business Intelligence (10 papers) and BIM and Construction Integration (9 papers). Jayesh Rane is often cited by papers focused on Impact of AI and Big Data on Business and Society (11 papers), Big Data and Business Intelligence (10 papers) and BIM and Construction Integration (9 papers). Jayesh Rane collaborates with scholars based in India, United States and Türkiye. Jayesh Rane's co-authors include Saurabh Choudhary, Nitin Liladhar Rane, Nitin Rane, Saurabh Choudhary, Mallikarjuna Paramesha, Saurabh P. Choudhary, Suraj Kumar Mallick, Chaitanya B. Pande, Ranjan Roy and Ömer Kaya and has published in prestigious journals such as Sustainable Cities and Society, Physics and Chemistry of the Earth Parts A/B/C and Environmental Sciences Europe.

In The Last Decade

Jayesh Rane

79 papers receiving 822 citations

Hit Papers

Education 4.0 and 5.0: Integrating Artificial Intelligenc... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Education 4.0 and 5.0: Integrating Artificial Intelligence (AI) for Personalized and Adaptive Learning
    2023 86 citations Nitin Liladhar Rane, Saurabh Choudhary et al. SSRN Electronic Journal profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jayesh Rane India 19 174 106 92 75 73 87 920
Nitin Rane India 20 183 1.1× 151 1.4× 125 1.4× 77 1.0× 123 1.7× 59 913
Niklas Kühl Germany 16 341 2.0× 39 0.4× 120 1.3× 83 1.1× 65 0.9× 71 1.0k
Saurabh Choudhary India 16 121 0.7× 90 0.8× 50 0.5× 33 0.4× 69 0.9× 48 626
Mitra Madanchian Malaysia 15 161 0.9× 55 0.5× 95 1.0× 163 2.2× 16 0.2× 59 953
Khalifa N. Al‐Khalifa Qatar 20 84 0.5× 50 0.5× 126 1.4× 117 1.6× 42 0.6× 46 1.5k
Khalifa Mansouri Morocco 16 166 1.0× 108 1.0× 137 1.5× 36 0.5× 11 0.2× 228 972
Ari Happonen Finland 23 64 0.4× 51 0.5× 117 1.3× 40 0.5× 44 0.6× 100 1.4k
Sara Paiva Portugal 13 137 0.8× 136 1.3× 273 3.0× 29 0.4× 17 0.2× 66 1.3k
C. B. Sivaparthipan China 14 224 1.3× 62 0.6× 188 2.0× 46 0.6× 11 0.2× 39 1.0k
Federico Cugurullo Ireland 18 90 0.5× 213 2.0× 122 1.3× 64 0.9× 27 0.4× 36 1.7k

Countries citing papers authored by Jayesh Rane

Since Specialization
Citations

This map shows the geographic impact of Jayesh Rane'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 Jayesh Rane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayesh Rane more than expected).

Fields of papers citing papers by Jayesh Rane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayesh Rane. 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 Jayesh Rane. The network helps show where Jayesh Rane may publish in the future.

Co-authorship network of co-authors of Jayesh Rane

This figure shows the co-authorship network connecting the top 25 collaborators of Jayesh Rane. A scholar is included among the top collaborators of Jayesh Rane 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 Jayesh Rane. Jayesh Rane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Rane, Nitin Liladhar, Saurabh Choudhary, & Jayesh Rane. (2024). Contribution of ChatGPT and Similar Generative Artificial Intelligence for Enhanced Climate Change Mitigation Strategies. SSRN Electronic Journal. 5 indexed citations
3.
Rane, Nitin Liladhar, Saurabh Choudhary, & Jayesh Rane. (2024). Enhancing water and air pollution monitoring and control through ChatGPT and similar generative artificial intelligence implementation. SSRN Electronic Journal. 4 indexed citations
4.
Rane, Nitin Liladhar, Saurabh P. Choudhary, & Jayesh Rane. (2024). Artificial Intelligence and Machine Learning in Business-to-Business (B2B) Sales and Marketing: A Review. 4(1). 17–33.
5.
Rane, Nitin, Saurabh P. Choudhary, & Jayesh Rane. (2024). Acceptance of artificial intelligence: key factors, challenges, and implementation strategies. 5(2). 50–70. 24 indexed citations
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Rane, Nitin, Saurabh Choudhary, & Jayesh Rane. (2024). Artificial intelligence for enhancing resilience. 5(2). 1–33. 33 indexed citations
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Rane, Nitin Liladhar, Suraj Kumar Mallick, Ömer Kaya, & Jayesh Rane. (2024). Tools and frameworks for machine learning and deep learning: A review. 4 indexed citations
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Paramesha, Mallikarjuna, Nitin Rane, & Jayesh Rane. (2024). Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence. SSRN Electronic Journal. 33 indexed citations
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Rane, Nitin Liladhar, Suraj Kumar Mallick, Ömer Kaya, & Jayesh Rane. (2024). Applications of machine learning in healthcare, finance, agriculture, retail, manufacturing, energy, and transportation: A review. 2 indexed citations
13.
Paramesha, Mallikarjuna, Nitin Liladhar Rane, & Jayesh Rane. (2024). Artificial intelligence, machine learning, and deep learning for cybersecurity solutions: a review of emerging technologies and applications. SSRN Electronic Journal. 6 indexed citations
14.
Rane, Nitin Liladhar, Suraj Kumar Mallick, Ömer Kaya, & Jayesh Rane. (2024). Techniques and optimization algorithms in machine learning: A review. 3 indexed citations
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Rane, Nitin Liladhar, Suraj Kumar Mallick, Ömer Kaya, & Jayesh Rane. (2024). Applications of deep learning in healthcare, finance, agriculture, retail, energy, manufacturing, and transportation: A review. 3 indexed citations
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Rane, Nitin Liladhar, Saurabh Choudhary, & Jayesh Rane. (2024). Gemini or ChatGPT? Efficiency, Performance, and Adaptability of Cutting-Edge Generative Artificial Intelligence (AI) in Finance and Accounting. SSRN Electronic Journal. 4 indexed citations
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Rane, Nitin Liladhar, Saurabh Choudhary, & Jayesh Rane. (2023). Leading-edge Artificial Intelligence (AI) and Internet of Things (IoT) technologies for enhanced geotechnical site characterization. SSRN Electronic Journal. 13 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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