Nitasha Hasteer
- Information Systems top 5%
- Computer Networks and Communications
- Computer Science Applications top 10%
- Strategy and Management
- Artificial Intelligence
- Co-authors
- Abhay BansalAnupriya TuliShruti SharmaRahul SindhwaniAbhishek BehlB. K. MurthyJean-Paul Van BelleKrishan Soni
- Topics
- Software Engineering Research (10 papers)Open Source Software Innovations (10 papers)Mobile Crowdsensing and Crowdsourcing (7 papers)
- Partner nations
- IndiaUnited Arab EmiratesSouth Africa
In The Last Decade
Nitasha Hasteer
45 papers receiving 251 citations
Peers
Comparison fields: 5 of 69
- Information Systems 115
- Computer Networks and Communications 54
- Computer Science Applications 41
- Strategy and Management 35
- Artificial Intelligence 31
Countries citing papers authored by Nitasha Hasteer
This map shows the geographic impact of Nitasha Hasteer'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 Nitasha Hasteer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitasha Hasteer more than expected).
Fields of papers citing papers by Nitasha Hasteer
This network shows the impact of papers produced by Nitasha Hasteer. 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 Nitasha Hasteer. The network helps show where Nitasha Hasteer may publish in the future.
Co-authorship network of co-authors of Nitasha Hasteer
This figure shows the co-authorship network connecting the top 25 collaborators of Nitasha Hasteer. A scholar is included among the top collaborators of Nitasha Hasteer 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 Nitasha Hasteer. Nitasha Hasteer 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 | 3 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 30 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 8. ACCELERATED LEARNING SOLUTIONS (ALS) - A MODEL FOR LEARNING ON THE JOB & PRODUCTIVITY ENHANCEMENT OF FRESH ENGINEERING GRADUATES THROUGH TITP (TELECOM INDUSTRY TRAINING AND PLACEMENT) | 0 |
About Nitasha Hasteer
Nitasha Hasteer is a scholar working on Computer Science Applications, Information Systems and Health Informatics, having authored 51 papers that have together received 279 indexed citations. Recurring topics across this work include Software Engineering Research (10 papers), Open Source Software Innovations (10 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). The work is most often cited by research in Computer Science Applications (41 citations), Information Systems (115 citations) and Business and International Management (10 citations). Nitasha Hasteer has collaborated with scholars based in India, United Arab Emirates and South Africa. Frequent co-authors include Abhay Bansal, Anupriya Tuli, Shruti Sharma, Rahul Sindhwani, Abhishek Behl, B. K. Murthy, Jean-Paul Van Belle, Krishan Soni, Pooja Sharma and C. Ghanshyam. Their work appears in journals such as Resources Policy, Annals of Operations Research and Current Science.
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.