Anjali Gautam
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Neurology top 10%
- Radiology, Nuclear Medicine and Imaging
- Epidemiology
- Co-authors
- Balasubramanian RamanVrijendra SinghH.S. BhadauriaPunam BediPriyanka SinghAjay BhambalVinita JindalChhavi Sharma
- Topics
- Digital Imaging for Blood Diseases (9 papers)Brain Tumor Detection and Classification (7 papers)Recommender Systems and Techniques (6 papers)
- Journals
- Expert Systems with ApplicationsComputers in Biology and MedicineBiomedical Signal Processing and Control
- Partner nations
- India
In The Last Decade
Anjali Gautam
49 papers receiving 465 citations
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 175
- Artificial Intelligence 157
- Neurology 98
- Radiology, Nuclear Medicine and Imaging 74
- Epidemiology 62
Countries citing papers authored by Anjali Gautam
This map shows the geographic impact of Anjali Gautam'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 Anjali Gautam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anjali Gautam more than expected).
Fields of papers citing papers by Anjali Gautam
This network shows the impact of papers produced by Anjali Gautam. 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 Anjali Gautam. The network helps show where Anjali Gautam may publish in the future.
Co-authorship network of co-authors of Anjali Gautam
This figure shows the co-authorship network connecting the top 25 collaborators of Anjali Gautam. A scholar is included among the top collaborators of Anjali Gautam 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 Anjali Gautam. Anjali Gautam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 18 | |
| 14 | 0 | |
| 15 | Scientific dog feeding for good health and its preparation: A review | 2 |
| 16 | 16 | |
| 17 | 13 | |
| 18 | Genetic divergence and character association studies in indegenous ridge gourd (Luffa Acutangula (L.) Roxb.) Genotypes | 2 |
| 19 | 21 | |
| 20 | 4 |
About Anjali Gautam
Anjali Gautam is a scholar working on Computational Mathematics, General Dentistry and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 507 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (9 papers), Brain Tumor Detection and Classification (7 papers) and Recommender Systems and Techniques (6 papers). The work is most often cited by research in General Dentistry (24 citations), Neurology (98 citations) and Computer Vision and Pattern Recognition (175 citations). Anjali Gautam has collaborated with scholars based in India. Frequent co-authors include Balasubramanian Raman, Vrijendra Singh, H.S. Bhadauria, Punam Bedi, Priyanka Singh, Ajay Bhambal, Vinita Jindal, Chhavi Sharma, Surekha Attri and Deepika Kathuria. Their work appears in journals such as Expert Systems with Applications, Computers in Biology and Medicine and Biomedical Signal Processing and Control.
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.