Ajay Bandi
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Health Informatics top 5%
- Co-authors
- Julio Ariel Hurtado AlegríaEdward B. AllenByron J. WilliamsMaher RizkallaPaul SalamaShaina RazaBharathi Raja ChakravarthiJunaid Rashid
- Topics
- Software Engineering Research (4 papers)Advanced Software Engineering Methodologies (4 papers)Software System Performance and Reliability (3 papers)
- Journals
- Education and Information TechnologiesFuture InternetAquila Digital Community (University of Southern Mississippi)
- Partner nations
- United StatesColombiaIndia
In The Last Decade
Ajay Bandi
22 papers receiving 361 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 130
- Information Systems 54
- Computer Networks and Communications 40
- Electrical and Electronic Engineering 39
- Health Informatics 38
Countries citing papers authored by Ajay Bandi
This map shows the geographic impact of Ajay Bandi'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 Ajay Bandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay Bandi more than expected).
Fields of papers citing papers by Ajay Bandi
This network shows the impact of papers produced by Ajay Bandi. 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 Ajay Bandi. The network helps show where Ajay Bandi may publish in the future.
Co-authorship network of co-authors of Ajay Bandi
This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Bandi. A scholar is included among the top collaborators of Ajay Bandi 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 Ajay Bandi. Ajay Bandi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | The Power of Generative AI: A Review of Requirements, Models, Input–Output Formats, Evaluation Metrics, and Challengesbreakdown → | 258 |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | The essence of recursion: reduction, delegation, and visualization | 5 |
| 14 | 7 | |
| 15 | Crafting a data visualization course for the tech industry | 0 |
| 16 | 0 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | 0 | |
| 20 | 15 |
About Ajay Bandi
Ajay Bandi is a scholar working on Health Informatics, Software and Information Systems, having authored 26 papers that have together received 379 indexed citations. Recurring topics across this work include Software Engineering Research (4 papers), Advanced Software Engineering Methodologies (4 papers) and Software System Performance and Reliability (3 papers). The work is most often cited by research in Health Informatics (38 citations), Computer Science Applications (22 citations) and Artificial Intelligence (130 citations). Ajay Bandi has collaborated with scholars based in United States, Colombia and India. Frequent co-authors include Julio Ariel Hurtado Alegría, Edward B. Allen, Byron J. Williams, Maher Rizkalla, Paul Salama, Shaina Raza, Bharathi Raja Chakravarthi, Junaid Rashid, Usman Naseem and Mahmoud Yousef. Their work appears in journals such as Education and Information Technologies, Future Internet and Aquila Digital Community (University of Southern Mississippi).
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.