Geetika Arora
- Biotechnology top 5%
- Oncology
- Biomedical Engineering
- Hepatology top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- K.J. BarberyGovindarajan NarayananKamlesh TiwariDido FranceschiTatiana FroudPeter J. HoseinCaio M. Rocha LimaAlan S. Livingstone
- Topics
- Biometric Identification and Security (7 papers)Dental Radiography and Imaging (7 papers)Oral Health Pathology and Treatment (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessNeurocomputing
- Partner nations
- IndiaUnited StatesChile
In The Last Decade
Geetika Arora
58 papers receiving 493 citations
Peers
Comparison fields: 5 of 106
- Biotechnology 141
- Oncology 87
- Biomedical Engineering 84
- Hepatology 73
- Computer Vision and Pattern Recognition 72
Countries citing papers authored by Geetika Arora
This map shows the geographic impact of Geetika Arora'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 Geetika Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geetika Arora more than expected).
Fields of papers citing papers by Geetika Arora
This network shows the impact of papers produced by Geetika Arora. 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 Geetika Arora. The network helps show where Geetika Arora may publish in the future.
Co-authorship network of co-authors of Geetika Arora
This figure shows the co-authorship network connecting the top 25 collaborators of Geetika Arora. A scholar is included among the top collaborators of Geetika Arora 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 Geetika Arora. Geetika Arora 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 | 1 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | Salivary biomarkers as a diagnostic tool | 0 |
| 14 | 3D Printing and its applications in oral and maxillofacial surgery | 5 |
| 15 | Green Dentistry: A Review | 3 |
| 16 | Analytical evaluation for the enhancement of satellite images using swarm intelligence techniques | 6 |
| 17 | Quantifying trust evaluation based on approximate reasoning | 1 |
| 18 | 12 | |
| 19 | 11 | |
| 20 | 3 |
About Geetika Arora
Geetika Arora is a scholar working on Periodontics, General Dentistry and Oral Surgery, having authored 73 papers that have together received 524 indexed citations. Recurring topics across this work include Biometric Identification and Security (7 papers), Dental Radiography and Imaging (7 papers) and Oral Health Pathology and Treatment (6 papers). The work is most often cited by research in Biotechnology (141 citations), General Dentistry (25 citations) and Periodontics (61 citations). Geetika Arora has collaborated with scholars based in India, United States and Chile. Frequent co-authors include K.J. Barbery, Govindarajan Narayanan, Kamlesh Tiwari, Dido Franceschi, Tatiana Froud, Peter J. Hosein, Caio M. Rocha Lima, Alan S. Livingstone, José Yrizarry and Phalguni Gupta. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.
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.