Maha Shaikh
- Computer Science Applications top 1%
- Strategy and Management top 10%
- Communication top 5%
- Sociology and Political Science
- Information Systems top 10%
- Co-authors
- Ola HenfridssonTony CornfordNatalia LevinaEmmanuelle VaastAntonio CordellaGeoff J.M. ParkerBrian FitzgeraldGeoffrey Parker
- Topics
- Open Source Software Innovations (28 papers)E-Government and Public Services (8 papers)Knowledge Management and Sharing (6 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Maha Shaikh
35 papers receiving 429 citations
Peers
Comparison fields: 5 of 65
- Computer Science Applications 233
- Strategy and Management 137
- Communication 124
- Sociology and Political Science 101
- Information Systems 91
Countries citing papers authored by Maha Shaikh
This map shows the geographic impact of Maha Shaikh'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 Maha Shaikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maha Shaikh more than expected).
Fields of papers citing papers by Maha Shaikh
This network shows the impact of papers produced by Maha Shaikh. 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 Maha Shaikh. The network helps show where Maha Shaikh may publish in the future.
Co-authorship network of co-authors of Maha Shaikh
This figure shows the co-authorship network connecting the top 25 collaborators of Maha Shaikh. A scholar is included among the top collaborators of Maha Shaikh 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 Maha Shaikh. Maha Shaikh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 43 | |
| 4 | 31 | |
| 5 | Code Forking and Software Development Project Sustainability: Evidence from GitHub | 1 |
| 6 | 76 | |
| 7 | 11 | |
| 8 | 47 | |
| 9 | 2 | |
| 10 | STRATEGIC DRIVERS OF OPEN SOURCE SOFTWARE ADOPTION IN THE PUBLIC SECTOR: CHALLENGES AND OPPORTUNITIES | 7 |
| 11 | Navigating Open Source Adoption in the Public Sector | 3 |
| 12 | Adopting open source software : challenges and opportunities | 3 |
| 13 | Total cost of ownership of open source software | 1 |
| 14 | 17 | |
| 15 | Management and innovation of e-business | 2 |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | Actor-network theory and after: what's new for IS research | 24 |
About Maha Shaikh
Maha Shaikh is a scholar working on Computer Science Applications, Communication and Management of Technology and Innovation, having authored 37 papers that have together received 462 indexed citations. Recurring topics across this work include Open Source Software Innovations (28 papers), E-Government and Public Services (8 papers) and Knowledge Management and Sharing (6 papers). The work is most often cited by research in Computer Science Applications (233 citations), Communication (124 citations) and Strategy and Management (137 citations). Maha Shaikh has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Ola Henfridsson, Tony Cornford, Natalia Levina, Emmanuelle Vaast, Antonio Cordella, Geoff J.M. Parker, Brian Fitzgerald, Geoffrey Parker, Claudio Ciborra and Barbara Russo. Their work appears in journals such as Research Policy, MIS Quarterly and Information Systems Research.
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.