Bhavin J. Shah

36 papers receiving 663 citations

Peers

Bhavin J. Shah
Comparison fields: 5 of 118
  • Marketing 156
  • Management Information Systems 110
  • Sociology and Political Science 105
  • Strategy and Management 99
  • Organizational Behavior and Human Resource Management 95
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Countries citing papers authored by Bhavin J. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Bhavin J. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bhavin J. Shah. 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 Bhavin J. Shah. The network helps show where Bhavin J. Shah may publish in the future.

Co-authorship network of co-authors of Bhavin J. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Bhavin J. Shah. A scholar is included among the top collaborators of Bhavin J. Shah 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 Bhavin J. Shah. Bhavin J. Shah 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
#WorkIndexed citations
1 0
2 1
3 3
4 1
5 86
6 36
7 23
8
EPQ Model for Time-Declining Demand with Imperfect Production Process under Inflationary Conditions and Reliability
6
9 5
10 2
11 10
12
An EOQ model with time dependent deterioration under discounted cash flow approach when supplier credits are linked to order quantity
1
13 32
14 1
15
Residual and suppressed-carrier arraying techniques for deep-space communications
1
16
A comparison of full-spectrum and complex-symbol combining techniques for the Galileo S-band mission
10
17 3
18
Open-loop frequency acquisition for suppressed-carrier biphase signals using one-pole arm filters
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19
A Comparison of Open-Loop Suppressed-Carrier Acquisition Techniques
2
20 43

About Bhavin J. Shah

Bhavin J. Shah is a scholar working on Management Information Systems, Business and International Management and Marketing, having authored 43 papers that have together received 716 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (13 papers), Sustainable Supply Chain Management (10 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Marketing (156 citations), Information Systems and Management (91 citations) and Management Information Systems (110 citations). Bhavin J. Shah has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Hasmukh Gajjar, B Barnwell, Gayle Bieler, Nikunj Kumar Jain, S. Hinedi, Nita H. Shah, Y. K. Shah, Hui‐Ming Wee, P. A. Rosen and Rob Johnson. Their work appears in journals such as Journal of Cleaner Production, IEEE Transactions on Communications and IEEE Transactions on Aerospace and Electronic Systems.

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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