Anjali Gautam

859 total citations
56 papers, 507 citations indexed

About

Anjali Gautam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Anjali Gautam has authored 56 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Anjali Gautam's work include Digital Imaging for Blood Diseases (9 papers), Brain Tumor Detection and Classification (7 papers) and Recommender Systems and Techniques (6 papers). Anjali Gautam is often cited by papers focused on Digital Imaging for Blood Diseases (9 papers), Brain Tumor Detection and Classification (7 papers) and Recommender Systems and Techniques (6 papers). Anjali Gautam collaborates with scholars based in India. Anjali Gautam's 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 and has published in prestigious journals such as Expert Systems with Applications, Computers in Biology and Medicine and Biomedical Signal Processing and Control.

In The Last Decade

Anjali Gautam

49 papers receiving 465 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anjali Gautam India 14 175 157 98 74 62 56 507
Meenakshi Sharma India 11 249 1.4× 194 1.2× 216 2.2× 78 1.1× 41 0.7× 26 546
Chetna Kaushal India 11 92 0.5× 205 1.3× 42 0.4× 105 1.4× 36 0.6× 44 439
Serhat Kılıçarslan Türkiye 14 137 0.8× 355 2.3× 46 0.5× 122 1.6× 65 1.0× 40 768
Indrajeet Kumar India 11 112 0.6× 195 1.2× 48 0.5× 154 2.1× 19 0.3× 59 569
S. Punitha India 11 103 0.6× 321 2.0× 72 0.7× 146 2.0× 25 0.4× 42 494
Tamanna Siddiqui India 9 103 0.6× 152 1.0× 63 0.6× 101 1.4× 17 0.3× 33 506
Areej Alasiry Saudi Arabia 14 126 0.7× 173 1.1× 17 0.2× 54 0.7× 51 0.8× 51 570
Mehrez Marzougui Saudi Arabia 13 180 1.0× 136 0.9× 20 0.2× 58 0.8× 49 0.8× 50 505
Reinel Tabares-Soto Colombia 14 162 0.9× 176 1.1× 39 0.4× 115 1.6× 18 0.3× 46 632
Sara A. Althubiti Saudi Arabia 14 79 0.5× 256 1.6× 24 0.2× 62 0.8× 19 0.3× 44 654

Countries citing papers authored by Anjali Gautam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Gautam, Anjali, et al.. (2024). Convolutional Vision Transformer Based Automatic Grading of Diabetic Retinopathy Images. 1–5. 1 indexed citations
2.
Gautam, Anjali, et al.. (2024). Investigation on the analysis of integration of IoT and AI technologies with information security for advanced education 4.0. Journal of Discrete Mathematical Sciences and Cryptography. 27(4). 1445–1454. 1 indexed citations
3.
Gautam, Anjali, et al.. (2024). Diffusion-based normality pre-training for weakly supervised video anomaly detection. Expert Systems with Applications. 251. 124013–124013. 11 indexed citations
4.
Srivastava, Ananya, et al.. (2024). Investigating the Role of IOT in Creating Sustainable and Efficient Urban Environments.. International Journal of Research Publication and Reviews. 5(5). 1853–1857. 2 indexed citations
5.
6.
Gautam, Anjali, et al.. (2023). YOLOv8 Based Deep Learning Method for Potholes Detection. 1–6. 11 indexed citations
7.
Kaur, Maninder, Anjali Gautam, & Harpreet Kaur. (2022). Nutritional, techno‐functional, structural, and rheological properties of potato peel powder: A valuable biowaste being potential source of dietary fiber and antioxidants in cookie formulation. Journal of Food Processing and Preservation. 46(11). 4 indexed citations
8.
Gautam, Anjali, et al.. (2022). Defective Fruit Classification using Variations of GAN for Augmentation. 1–6. 3 indexed citations
9.
Kaushal, Manisha, et al.. (2022). Nutritional enhancement of fruit bars with omega rich food source fortification. Journal of Food Processing and Preservation. 46(12). 3 indexed citations
10.
11.
Gautam, Anjali, et al.. (2020). Formulation and storage studies of herbal based RTS beverages from persimmon (Diospyros kaki L.) fruit. Annals of Phytomedicine An International Journal. 9(2). 155–163. 9 indexed citations
12.
Gautam, Anjali, et al.. (2020). Optimization of pulping method for extraction of pulp from ripe persimmon (Diospyros kaki L.) and its stability during storage. Journal of Applied and Natural Science. 12(4). 618–627. 1 indexed citations
13.
Gautam, Anjali, et al.. (2018). Scientific dog feeding for good health and its preparation: A review. Journal of Entomology and Zoology Studies. 6(3). 1683–1689. 2 indexed citations
14.
Gautam, Anjali, et al.. (2017). Genetic divergence and character association studies in indegenous ridge gourd (Luffa Acutangula (L.) Roxb.) Genotypes. Journal of Pharmacognosy and Phytochemistry. 6(4). 1769–1774. 2 indexed citations
15.
Gautam, Anjali & Punam Bedi. (2017). Developing content-based recommender system using Hadoop Map Reduce. Journal of Intelligent & Fuzzy Systems. 32(4). 2997–3008. 2 indexed citations
16.
Gautam, Anjali & Vrijendra Singh. (2017). A novel approach for decomposition of financial time series. 2. 537–542. 1 indexed citations
17.
Gautam, Anjali, et al.. (2017). Effect of oral health education by audio aids, Braille & tactile models on the oral health status of visually impaired children of Bhopal city. Journal of Oral Biology and Craniofacial Research. 8(3). 168–170. 21 indexed citations
18.
Gautam, Anjali, et al.. (2016). CBCARS: Content boosted context-aware recommendations using tensor factorization. 75–81. 4 indexed citations
19.
Gautam, Anjali & Punam Bedi. (2015). MR-VSM: Map Reduce based vector Space Model for user profiling-an empirical study on News data. 355–360. 13 indexed citations
20.
Gautam, Anjali, et al.. (2015). Time Series Analysis of Forecasting Indian Rainfall. 9 indexed citations

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.

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