Manish Dadhich
- Information Systems top 10%
- Artificial Intelligence
- Strategy and Management top 10%
- Marketing top 10%
- Information Systems and Management top 5%
- Co-authors
- Kamal Kant HiranRuchi DoshiIndu BalaAbdel‐Hameed Al‐MistarehiMaad M. MıjwılGaurav SinghSandeep PoddarNaresh Kumar
- Topics
- Organizational and Employee Performance (8 papers)Technology Adoption and User Behaviour (8 papers)Blockchain Technology Applications and Security (5 papers)
In The Last Decade
Manish Dadhich
39 papers receiving 328 citations
Peers
Comparison fields: 5 of 64
- Information Systems 91
- Artificial Intelligence 89
- Strategy and Management 72
- Marketing 68
- Information Systems and Management 64
Countries citing papers authored by Manish Dadhich
This map shows the geographic impact of Manish Dadhich'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 Manish Dadhich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Dadhich more than expected).
Fields of papers citing papers by Manish Dadhich
This network shows the impact of papers produced by Manish Dadhich. 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 Manish Dadhich. The network helps show where Manish Dadhich may publish in the future.
Co-authorship network of co-authors of Manish Dadhich
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Dadhich. A scholar is included among the top collaborators of Manish Dadhich 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 Manish Dadhich. Manish Dadhich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 59 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 22 | |
| 15 | 13 | |
| 16 | 8 | |
| 17 | An analytical study of life insurance facilities provided by life insurance companies | 2 |
| 18 | An Overview of Ancient Value and Cultural Heritage of Bali (Indonesia) | 2 |
| 19 | An Analysis of Factors Affecting to Entrepreneur Development in Rajasthan | 7 |
| 20 | Risk management for investors in stock market | 7 |
About Manish Dadhich
Manish Dadhich is a scholar working on Information Systems and Management, Management Information Systems and Health Informatics, having authored 45 papers that have together received 356 indexed citations. Recurring topics across this work include Organizational and Employee Performance (8 papers), Technology Adoption and User Behaviour (8 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Health Informatics (42 citations), Information Systems and Management (64 citations) and Business and International Management (18 citations). Manish Dadhich has collaborated with scholars based in India, Malaysia and Denmark. Frequent co-authors include Kamal Kant Hiran, Ruchi Doshi, Kamal Kant Hiran, Indu Bala, Abdel‐Hameed Al‐Mistarehi, Maad M. Mıjwıl, Gaurav Singh, Sandeep Poddar, Naresh Kumar and Samuel-Soma M. Ajibade. Their work appears in journals such as Journal of Cleaner Production, Technological Forecasting and Social Change and Multimedia Tools and Applications.
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.