Manish Shukla
- Strategy and Management top 10%
- Industrial and Manufacturing Engineering top 5%
- Management Information Systems top 5%
- Artificial Intelligence
- Information Systems top 10%
- Co-authors
- Manoj Kumar TiwariDharm KapletiaSachin LodhaSanjay JharkhariaIndranil ChakrabartyFelix T.S. ChanSonali AgarwalSonal Choudhary
- Topics
- Quantum Computing Algorithms and Architecture (6 papers)Quantum Information and Cryptography (6 papers)Sustainable Supply Chain Management (5 papers)
- Cited by
- Management Information SystemsIndustrial and Manufacturing EngineeringStrategy and Management
- Journals
- International Journal of Production ResearchIEEE Transactions on ComputersComputers & Industrial Engineering
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Manish Shukla
30 papers receiving 341 citations
Peers
Comparison fields: 5 of 64
- Strategy and Management 108
- Industrial and Manufacturing Engineering 93
- Management Information Systems 88
- Artificial Intelligence 63
- Information Systems 52
Countries citing papers authored by Manish Shukla
This map shows the geographic impact of Manish Shukla'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 Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Shukla more than expected).
Fields of papers citing papers by Manish Shukla
This network shows the impact of papers produced by Manish Shukla. 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 Shukla. The network helps show where Manish Shukla may publish in the future.
Co-authorship network of co-authors of Manish Shukla
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Shukla. A scholar is included among the top collaborators of Manish Shukla 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 Shukla. Manish Shukla 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 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 40 | |
| 10 | 1 | |
| 11 | 31 | |
| 12 | 14 | |
| 13 | 63 | |
| 14 | 45 | |
| 15 | 4 | |
| 16 | 21 | |
| 17 | 11 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | The Quantum Baseline Network | 4 |
About Manish Shukla
Manish Shukla is a scholar working on Management Information Systems, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 33 papers that have together received 353 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (6 papers), Quantum Information and Cryptography (6 papers) and Sustainable Supply Chain Management (5 papers). The work is most often cited by research in Management Information Systems (88 citations), Industrial and Manufacturing Engineering (93 citations) and Strategy and Management (108 citations). Manish Shukla has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Manoj Kumar Tiwari, Dharm Kapletia, Sachin Lodha, Sanjay Jharkharia, Indranil Chakrabarty, Felix T.S. Chan, Sonali Agarwal, Sonal Choudhary, Nagesh Shukla and K.L. Choy. Their work appears in journals such as International Journal of Production Research, IEEE Transactions on Computers and Computers & Industrial Engineering.
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.