Hemant Palivela
- Information Systems top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Signal Processing
- Computer Networks and Communications
- Co-authors
- Kaustubh R. PatilSantosh VijaykumarPrashant S. KharkarMano YadavMeera NarvekarHarishchander AnandaramAlazar YeshitlaVinay Rishiwal
- Topics
- Data Mining Algorithms and Applications (5 papers)Computational Drug Discovery Methods (4 papers)Topic Modeling (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessApplied Acoustics
- Partner nations
- IndiaEthiopiaSaudi Arabia
In The Last Decade
Hemant Palivela
24 papers receiving 310 citations
Peers
Comparison fields: 5 of 91
- Information Systems 147
- Artificial Intelligence 105
- Sociology and Political Science 80
- Signal Processing 34
- Computer Networks and Communications 29
Countries citing papers authored by Hemant Palivela
This map shows the geographic impact of Hemant Palivela'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 Hemant Palivela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hemant Palivela more than expected).
Fields of papers citing papers by Hemant Palivela
This network shows the impact of papers produced by Hemant Palivela. 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 Hemant Palivela. The network helps show where Hemant Palivela may publish in the future.
Co-authorship network of co-authors of Hemant Palivela
This figure shows the co-authorship network connecting the top 25 collaborators of Hemant Palivela. A scholar is included among the top collaborators of Hemant Palivela 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 Hemant Palivela. Hemant Palivela 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 31 | |
| 10 | 7 | |
| 11 | 58 | |
| 12 | 67 | |
| 13 | 21 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | Survey On Classification Based Techniques OnNon-Spatial Data | 0 |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 17 |
About Hemant Palivela
Hemant Palivela is a scholar working on Information Systems, Artificial Intelligence and Health Information Management, having authored 32 papers that have together received 340 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Computational Drug Discovery Methods (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Information Systems (147 citations), Artificial Intelligence (105 citations) and Signal Processing (34 citations). Hemant Palivela has collaborated with scholars based in India, Ethiopia and Saudi Arabia. Frequent co-authors include Kaustubh R. Patil, Santosh Vijaykumar, Prashant S. Kharkar, Mano Yadav, Meera Narvekar, Harishchander Anandaram, Alazar Yeshitla, Vinay Rishiwal, Kakoli Banerjee and Aziz Alotaibi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Acoustics.
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.