M.G. Bhatt

680 citations
12 papers · 522 · h-index 7

Impact in

Papers in

M.G. Bhatt

9 papers receiving 488 citations

Peers

M.G. Bhatt
Comparison fields: 5 of 83
  • Management Science and Operations Research 237
  • Management of Technology and Innovation 105
  • Industrial and Manufacturing Engineering 113
  • Statistics, Probability and Uncertainty 38
  • Strategy and Management 77
Replace Kalpesh D. Maniya with:
Kalpesh D. Maniya India
Ming‐Chyuan Lin Taiwan
Ming‐Shi Chen Taiwan
Michael R. Duffey United States
Prasad Karande India
Danqi Wang China
Daniel O. Aikhuele Nigeria
James V. Carnahan United States
Soumava Boral India
Yaw Asiedu Canada
M.G. Bhatt relative to Kalpesh D. Maniya India Kalpesh D. Maniya's profile →
Citations per field
00.5×1.5×2.1×
Kalpesh D. Maniya · 1×
Citations per year

Countries citing papers authored by M.G. Bhatt

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Bhatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.G. Bhatt. 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 M.G. Bhatt. The network helps show where M.G. Bhatt may publish in the future.

Co-authors

The 1 scholars most cited alongside M.G. Bhatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.G. Bhatt Line = papers co-authored together M.G. Bhatt links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2009336
2 201166
3 201136
4 201129
5 201826
6 201613
7 20167
8 20175
9 20134
10
Multi attribute evaluation of Water Jet Weaving Machine using Analytical Hierarchy Process
20100
11 20060
12
Investigation of Physical Characteristics and Machining Parameters of Improved Al-SiC MMC Using Dry EDM Process for Aerospace Industries
20180

About M.G. Bhatt

M.G. Bhatt is a scholar working on Management Science and Operations Research, Management of Technology and Innovation, Control and Systems Engineering, Safety, Risk, Reliability and Quality and Building and Construction, having authored 12 papers that have together received 522 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (7 papers), Quality Function Deployment in Product Design (4 papers), Reliability and Maintenance Optimization (2 papers), Material Selection and Properties (1 paper), Quality and Supply Management (1 paper), Water Quality Monitoring Technologies (1 paper), Risk and Safety Analysis (1 paper) and Process Optimization and Integration (1 paper). The work is most often cited by research in Management Science and Operations Research (237 citations), Management of Technology and Innovation (105 citations), Industrial and Manufacturing Engineering (113 citations), Statistics, Probability and Uncertainty (38 citations) and Strategy and Management (77 citations). M.G. Bhatt has collaborated with scholars based in India. Frequent co-authors include Kalpesh D. Maniya. Their work appears in journals such as Journal of Quality in Maintenance Engineering, International Journal of Production Research, International Journal of Industrial and Systems Engineering, Computers & Industrial Engineering and Journal of textile and apparel technology and management.

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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