Lila Rao
- Information Systems top 10%
- Management Information Systems top 5%
- Artificial Intelligence
- Management Science and Operations Research
- Strategy and Management
- Co-authors
- Kweku-Muata Osei-BrysonGunjan MansinghHan ReichgeltAnnette MillsSameer VermaS. SureshV. Suma
- Topics
- Big Data and Business Intelligence (6 papers)Software Engineering Research (6 papers)Semantic Web and Ontologies (6 papers)
- Journals
- Expert Systems with ApplicationsDecision Support SystemsJournal of the Association for Information Systems
- Partner nations
- JamaicaIndiaUnited States
In The Last Decade
Lila Rao
31 papers receiving 263 citations
Peers
Comparison fields: 5 of 69
- Information Systems 101
- Management Information Systems 96
- Artificial Intelligence 82
- Management Science and Operations Research 37
- Strategy and Management 35
Countries citing papers authored by Lila Rao
This map shows the geographic impact of Lila Rao'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 Lila Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lila Rao more than expected).
Fields of papers citing papers by Lila Rao
This network shows the impact of papers produced by Lila Rao. 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 Lila Rao. The network helps show where Lila Rao may publish in the future.
Co-authorship network of co-authors of Lila Rao
This figure shows the co-authorship network connecting the top 25 collaborators of Lila Rao. A scholar is included among the top collaborators of Lila Rao 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 Lila Rao. Lila Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | Study of Existing Risk Management Models and Prior Research Contribution | 1 |
| 11 | Enhancing the Decision Making Process: An Ontology-based Approach | 1 |
| 12 | 2 | |
| 13 | 1 | |
| 14 | Towards Developing a Cost-Benefit Model for Learning Management Systems | 1 |
| 15 | 15 | |
| 16 | 79 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 67 |
About Lila Rao
Lila Rao is a scholar working on Software, Management Information Systems and Information Systems, having authored 32 papers that have together received 283 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (6 papers), Software Engineering Research (6 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Management Information Systems (96 citations), Information Systems (101 citations) and Communication (31 citations). Lila Rao has collaborated with scholars based in Jamaica, India and United States. Frequent co-authors include Kweku-Muata Osei-Bryson, Gunjan Mansingh, Han Reichgelt, Annette Mills, Sameer Verma, S. Suresh and V. Suma. Their work appears in journals such as Expert Systems with Applications, Decision Support Systems and Journal of the Association for Information Systems.
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.