Jayanthi Ranjan

2.0k total citations
77 papers, 1.3k citations indexed

About

Jayanthi Ranjan is a scholar working on Management Information Systems, Information Systems and Marketing. According to data from OpenAlex, Jayanthi Ranjan has authored 77 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Management Information Systems, 21 papers in Information Systems and 21 papers in Marketing. Recurrent topics in Jayanthi Ranjan's work include Big Data and Business Intelligence (23 papers), Customer churn and segmentation (18 papers) and Customer Service Quality and Loyalty (16 papers). Jayanthi Ranjan is often cited by papers focused on Big Data and Business Intelligence (23 papers), Customer churn and segmentation (18 papers) and Customer Service Quality and Loyalty (16 papers). Jayanthi Ranjan collaborates with scholars based in India, United States and France. Jayanthi Ranjan's co-authors include Cyril Foropon, B.S. Sahay, Vishal Bhatnagar, Vasudha Vashisht, S.I. Ahson, Deepika Goyal, Himanshu Gupta, Archana Singh, Janakiraman Moorthy and Ajay Rana and has published in prestigious journals such as International Journal of Information Management, Education and Information Technologies and The Learning Organization.

In The Last Decade

Jayanthi Ranjan

72 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jayanthi Ranjan India 17 569 336 260 195 159 77 1.3k
Jasbir Dhaliwal United States 17 571 1.0× 465 1.4× 210 0.8× 180 0.9× 126 0.8× 50 1.4k
Jean Robert Kala Kamdjoug France 11 409 0.7× 249 0.7× 359 1.4× 215 1.1× 119 0.7× 36 1.3k
Mark Lycett United Kingdom 17 580 1.0× 242 0.7× 458 1.8× 220 1.1× 310 1.9× 83 1.4k
Timon C. Du Hong Kong 22 340 0.6× 257 0.8× 179 0.7× 177 0.9× 207 1.3× 57 1.5k
Stephen Eldridge United Kingdom 19 283 0.5× 511 1.5× 185 0.7× 227 1.2× 115 0.7× 63 1.2k
Chandrasekar Subramaniam United States 17 331 0.6× 389 1.2× 349 1.3× 108 0.6× 121 0.8× 51 1.5k
Tzu‐Chuan Chou Taiwan 16 263 0.5× 363 1.1× 130 0.5× 118 0.6× 110 0.7× 62 1.2k
Ogan Yigitbasioglu Australia 11 607 1.1× 261 0.8× 281 1.1× 111 0.6× 133 0.8× 23 1.2k
William Yeoh Australia 21 776 1.4× 484 1.4× 337 1.3× 277 1.4× 272 1.7× 75 1.6k
Shi‐Ming Huang Taiwan 19 521 0.9× 274 0.8× 291 1.1× 193 1.0× 111 0.7× 67 1.3k

Countries citing papers authored by Jayanthi Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Jayanthi Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayanthi Ranjan

This figure shows the co-authorship network connecting the top 25 collaborators of Jayanthi Ranjan. A scholar is included among the top collaborators of Jayanthi Ranjan 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 Jayanthi Ranjan. Jayanthi Ranjan 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
1.
Gupta, Ashish, et al.. (2023). Investigating the Role of Consumer Personality Orientations and Use of Threat in Social Cause Advertising during Covid 19. Journal of Promotion Management. 29(6). 791–823. 2 indexed citations
2.
Singh, Archana, et al.. (2023). Multimodal, multiview and multitasking depression detection framework endorsed with auxiliary sentiment polarity and emotion detection. International Journal of Systems Assurance Engineering and Management. 14(S1). 337–352. 11 indexed citations
3.
Vashisht, Vasudha, et al.. (2019). A Review on Missing Data Value Estimation Using Imputation Algorithm. Journal of Advanced Research in Dynamic and Control Systems. 11. 312–318. 8 indexed citations
4.
Gupta, Himanshu, et al.. (2019). UPI Based Mobile Banking Applications – Security Analysis and Enhancements. 1–6. 21 indexed citations
5.
Vashisht, Vasudha, et al.. (2018). A Classifier Ensemble Machine Learning Approach to Improve Efficiency for Missing Value Imputation. 23–27. 5 indexed citations
6.
Vashisht, Vasudha, et al.. (2017). A Comparison of Multiple Imputation Methods for Data with Missing Values. Indian Journal of Science and Technology. 10(19). 1–7. 47 indexed citations
7.
Dubey, Gaurav, Ajay Rana, & Jayanthi Ranjan. (2016). A research study of sentiment analysis and various techniques of sentiment classification. International Journal of Data Analysis Techniques and Strategies. 8(2). 122–122. 7 indexed citations
8.
Ranjan, Jayanthi, et al.. (2012). Out of Stock conditions affecting Customer satisfaction and customer loyalty. Journal of Business & Retail Management Research. 6(2). 3 indexed citations
9.
Ranjan, Jayanthi, et al.. (2012). An Intuitive Approach to Prevent Smart Card Fraud using Fingerprinting Authentication and Enhanced Data Encryption Standard (EHDES). International Journal of Computer Applications. 40(16). 6–10. 2 indexed citations
10.
Ranjan, Jayanthi. (2011). Service-oriented architecture for business intelligence: a research agenda. International Journal of Agile Systems and Management. 4(4). 301–301. 3 indexed citations
11.
Ranjan, Jayanthi & Pooja Tripathi. (2011). A holistic framework for the assessment of faculty. International Journal of Business Information Systems. 7(2). 181–181. 3 indexed citations
12.
Bhatnagar, Vishal & Jayanthi Ranjan. (2011). Time to implement data mining in insurance firms for effective CRM and CRM analytics. International Journal of Networking and Virtual Organisations. 9(1). 1–1. 2 indexed citations
13.
Ranjan, Jayanthi & Vishal Bhatnagar. (2010). Information security-enabled business process architecture for mobile CRM: the role of technology, planning, training and process. International Journal of Networking and Virtual Organisations. 7(5). 452–452. 1 indexed citations
14.
Ranjan, Jayanthi. (2010). Integrating analytical Customer Relationship Management with Customer Relationship Management in organisations. International Journal of Innovation and Learning. 8(4). 408–408. 2 indexed citations
15.
Ranjan, Jayanthi. (2009). Role of Analytical CRM in CRM Systems: Importance and Benefits. 13(1). 169–188. 3 indexed citations
16.
Ranjan, Jayanthi. (2009). Data mining in pharma sector: benefits. International Journal of Health Care Quality Assurance. 22(1). 82–92. 16 indexed citations
17.
Ranjan, Jayanthi & Vishal Bhatnagar. (2009). Aligning value drivers with business operations by data mining for strategic advantage in business organisations. International Journal of Value Chain Management. 3(3). 316–316. 2 indexed citations
18.
Ranjan, Jayanthi & Vishal Bhatnagar. (2008). Data mining tools: a CRM perspective. International Journal of Electronic Customer Relationship Management. 2(4). 315–315. 9 indexed citations
19.
Ranjan, Jayanthi. (2008). Implementing Business Intelligence in Indian firms: prospects and challenges. International Journal of Indian Culture and Business Management. 1(3). 277–277. 8 indexed citations
20.
Ranjan, Jayanthi. (2008). Traditional Business Intelligence vis-a-vis real-time Business Intelligence. International Journal of Information and Communication Technology. 1(3/4). 298–298. 3 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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