B. Chandra

3.3k total citations · 2 hit papers
115 papers, 2.3k citations indexed

About

B. Chandra is a scholar working on Artificial Intelligence, Information Systems and Marketing. According to data from OpenAlex, B. Chandra has authored 115 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 25 papers in Information Systems and 22 papers in Marketing. Recurrent topics in B. Chandra's work include Data Mining Algorithms and Applications (16 papers), Neural Networks and Applications (15 papers) and Consumer Behavior in Brand Consumption and Identification (13 papers). B. Chandra is often cited by papers focused on Data Mining Algorithms and Applications (16 papers), Neural Networks and Applications (15 papers) and Consumer Behavior in Brand Consumption and Identification (13 papers). B. Chandra collaborates with scholars based in India, China and United States. B. Chandra's co-authors include Vivek Kumar Verma, Sumit Kumar, Manish Gupta, Chiranjeev Kumar, Mohammad Shameem, Pramod Pathak, Arif Ali Khan, Manish Gupta, Rakesh Ranjan Kumar and M. P. Gupta and has published in prestigious journals such as Journal of Cleaner Production, Journal of Business Research and Expert Systems with Applications.

In The Last Decade

B. Chandra

102 papers receiving 2.2k citations

Hit Papers

An application of theory of planned behavior to predict y... 2017 2026 2020 2023 2017 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Chandra India 23 854 488 481 443 396 115 2.3k
Shuai Zhang China 32 332 0.4× 184 0.4× 186 0.4× 749 1.7× 243 0.6× 172 3.7k
Rusli Abdullah Malaysia 21 482 0.6× 209 0.4× 153 0.3× 323 0.7× 521 1.3× 201 2.2k
Anuj Sharma India 24 408 0.5× 452 0.9× 86 0.2× 485 1.1× 230 0.6× 91 2.0k
Muhammad Shahbaz Pakistan 29 311 0.4× 313 0.6× 78 0.2× 601 1.4× 478 1.2× 102 2.6k
Bhumika Gupta India 19 342 0.4× 187 0.4× 80 0.2× 242 0.5× 246 0.6× 78 1.6k
Gobinda Chowdhury United Kingdom 25 148 0.2× 339 0.7× 89 0.2× 880 2.0× 1.1k 2.7× 99 3.1k
Bo Fan China 27 211 0.2× 238 0.5× 122 0.3× 215 0.5× 60 0.2× 110 2.3k
Anna Visvizi Saudi Arabia 25 190 0.2× 378 0.8× 77 0.2× 247 0.6× 292 0.7× 104 2.3k
Changyong Liang China 31 131 0.2× 505 1.0× 60 0.1× 744 1.7× 369 0.9× 144 3.0k
Amit Mittal India 23 374 0.4× 371 0.8× 37 0.1× 212 0.5× 170 0.4× 272 2.1k

Countries citing papers authored by B. Chandra

Since Specialization
Citations

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

Fields of papers citing papers by B. Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Chandra

This figure shows the co-authorship network connecting the top 25 collaborators of B. Chandra. A scholar is included among the top collaborators of B. Chandra 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 B. Chandra. B. Chandra 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.
Chandra, B., et al.. (2024). Technology acceptance and self-enhancement in social media. Multimedia Tools and Applications. 83(31). 75483–75509. 4 indexed citations
3.
Chhikara, Rita, et al.. (2023). Modified Bird Swarm Algorithm for blind image steganalysis. International Journal of Information Technology. 15(6). 2877–2888. 5 indexed citations
4.
Sinha, Archana, B. Chandra, Arvind Kumar Mishra, & Shubham Goswami. (2023). An Assessment on Quality of Life and Happiness Indices of Project Affected People in Indian Coalfields. Sustainability. 15(12). 9634–9634. 2 indexed citations
5.
Kumar, Sumit, et al.. (2023). Shopping website selection for lifestyle products using the AHP and TOPSIS methods under fuzzy environment. International Journal of Electronic Marketing and Retailing. 14(3). 313–349. 1 indexed citations
6.
Chandra, B., et al.. (2021). Assessing the significance of co-occurring terms in Goods and Services Tax in India using co-occurrence graphs and Attention based Deep Learning Models. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 1882–1887.
7.
Sinha, Vijay Kumar, B. Chandra, & J. K. Pattanayak. (2021). Applicability of activity-based management system in coal mines – a case study of an underground coal mine. International Conference on Multimedia Information Networking and Security. 68(4). 120–130. 2 indexed citations
8.
Chandra, B., et al.. (2018). Consumption Behaviour Towards Green Durable Products : The Moderating Role of Demographics. Indian Journal of Marketing. 48(6). 22–22. 4 indexed citations
9.
Chandra, B., et al.. (2017). Exploring Predictors of Burnout and Work Engagement among Teachers - A Review on Higher Educational Institutions of India. 43(1). 145. 4 indexed citations
10.
Shameem, Mohammad, Chiranjeev Kumar, & B. Chandra. (2017). A proposed framework for effective software team performance: A mapping study between the team members' personality and team climate. 912–917. 8 indexed citations
11.
Chandra, B., et al.. (2016). Analyzing the Performance Appraisal System of a Public Sector Organization in India: The Case of Rajasthan State Mines and Minerals Limited. SSRN Electronic Journal. 15(1). 48. 3 indexed citations
12.
Chandra, B., et al.. (2016). Role of Brand Image and Switching Cost on Customer Satisfaction-Loyalty Dyadic in the Mid-Market Hotel Sector. Indian Journal of Marketing. 46(9). 35–35. 4 indexed citations
13.
Mukherjee, Kampan, et al.. (2015). Channel Distribution Performance in Cold Chain Management: A Comparative Scenario Between Two States of India. Indian Journal of Marketing. 45(1). 19–19. 2 indexed citations
14.
Goswami, Shubham & B. Chandra. (2013). Convergence Dynamics of Consumer Innovativeness Vis-À-Vis Technology Acceptance Propensity: An Empirical Study on Adoption of Mobile Devices. SSRN Electronic Journal. 12(3). 63. 2 indexed citations
15.
Chandra, B. & J. K. Pattanayak. (2012). Shopping Proclivity for Hypermarkets: An Empirical Study. SSRN Electronic Journal. 11(1). 84. 1 indexed citations
16.
Chandra, B., et al.. (2012). Analyzing Trends and Profitability Vis-À-Vis Working Capital Management (WCM): A Study of Select Information Technology (IT) Organizations in India. Indian Journal of Finance. 6(7). 13–26. 1 indexed citations
17.
Chandra, B. & Manish Gupta. (2011). An efficient statistical feature selection approach for classification of gene expression data. Journal of Biomedical Informatics. 44(4). 529–535. 110 indexed citations
18.
Chandra, B., et al.. (2010). Features Ranking for Avalanche Forecasting: Method and Results for Northwestern Himalaya. 196–203. 3 indexed citations
19.
Chandra, B. & J. K. Pattanayak. (2010). Cost Management Practices: A Cross-Country Study with Special Reference to Higher Educational Institutions in India. SSRN Electronic Journal. 1 indexed citations
20.
Chandra, B., et al.. (2007). Neural Networks for Identification of Crypto Systems.. Indian International Conference on Artificial Intelligence. 402–411. 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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