Anisha P Rodrigues

927 total citations · 1 hit paper
39 papers, 415 citations indexed

About

Anisha P Rodrigues is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Anisha P Rodrigues has authored 39 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Anisha P Rodrigues's work include Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (6 papers) and Concrete and Cement Materials Research (5 papers). Anisha P Rodrigues is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (6 papers) and Concrete and Cement Materials Research (5 papers). Anisha P Rodrigues collaborates with scholars based in India, Oman and Poland. Anisha P Rodrigues's co-authors include Niranjan N. Chiplunkar, Roshan Fernandes, Sweta Bhattacharya, Rajeswari Chengoden, Kuruva Lakshmanna, Shriram Marathe, P. Vijaya, Łukasz Sadowski, Guru Prasad M S and Thippa Reddy Gadekallu and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Anisha P Rodrigues

35 papers receiving 373 citations

Hit Papers

Skin lesion classification of dermoscopic images using ma... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Skin lesion classification of dermoscopic images using machine learning and convolutional neural network
    2022 126 citations Roshan Fernandes, Anisha P Rodrigues et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anisha P Rodrigues India 9 218 103 88 74 40 39 415
Ghadah Naif Alwakid Saudi Arabia 10 164 0.8× 71 0.7× 37 0.4× 52 0.7× 33 0.8× 38 351
Hwan-Seung Yong South Korea 11 217 1.0× 66 0.6× 129 1.5× 136 1.8× 43 1.1× 33 596
Tassawar Iqbal Pakistan 12 232 1.1× 96 0.9× 177 2.0× 128 1.7× 38 0.9× 31 519
Fatma Helmy Ismail Egypt 10 196 0.9× 22 0.2× 49 0.6× 57 0.8× 19 0.5× 19 348
Hamed Tabrizchi Iran 9 206 0.9× 52 0.5× 230 2.6× 46 0.6× 31 0.8× 24 518
Roshan Fernandes India 7 117 0.5× 103 1.0× 27 0.3× 70 0.9× 41 1.0× 33 267
Wael Said Egypt 13 151 0.7× 23 0.2× 101 1.1× 91 1.2× 11 0.3× 37 426
Nur Mohammad Fahad Bangladesh 8 203 0.9× 12 0.1× 37 0.4× 52 0.7× 14 0.3× 18 473
Honghao Zhu China 11 265 1.2× 19 0.2× 124 1.4× 63 0.9× 75 1.9× 32 557
Sourav Dutta India 11 132 0.6× 45 0.4× 116 1.3× 63 0.9× 13 0.3× 46 541

Countries citing papers authored by Anisha P Rodrigues

Since Specialization
Citations

This map shows the geographic impact of Anisha P Rodrigues'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 Anisha P Rodrigues with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anisha P Rodrigues more than expected).

Fields of papers citing papers by Anisha P Rodrigues

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anisha P Rodrigues. 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 Anisha P Rodrigues. The network helps show where Anisha P Rodrigues may publish in the future.

Co-authorship network of co-authors of Anisha P Rodrigues

This figure shows the co-authorship network connecting the top 25 collaborators of Anisha P Rodrigues. A scholar is included among the top collaborators of Anisha P Rodrigues 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 Anisha P Rodrigues. Anisha P Rodrigues 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.
Fernandes, Roshan, et al.. (2025). Brain Tumour Detection Using VGG‐Based Feature Extraction With Modified DarkNet‐53 Model. International Journal of Biomedical Imaging. 2025(1). 5535505–5535505.
2.
Rodrigues, Anisha P, et al.. (2025). Enhancing Privacy Through Federated Learning AI. 23–27.
3.
4.
Rodrigues, Anisha P, et al.. (2025). Multi-Modal Comparative Analysis on Audio Dub Detection Using Artificial Intelligence. IEEE Access. 13. 128856–128878.
5.
Marathe, Shriram & Anisha P Rodrigues. (2024). Intelligent Models for Prediction of Compressive Strength of Geopolymer Pervious Concrete Hybridized with Agro-Industrial and Construction-Demolition Wastes. Studia Geotechnica et Mechanica. 46(s1). 349–376. 12 indexed citations
6.
7.
Rodrigues, Anisha P, et al.. (2024). Multi-Modal Comparative Analysis on Execution of Phishing Detection Using Artificial Intelligence. IEEE Access. 12. 163016–163041. 2 indexed citations
8.
Rodrigues, Anisha P, et al.. (2024). Video Anomaly Detection. 48–53. 1 indexed citations
9.
Marathe, Shriram, et al.. (2024). Predictive Modelling of Pavement Quality Fibre-Reinforced Alkali-Activated Nano-Concrete Mixes through Artificial Intelligence. Studia Geotechnica et Mechanica. 46(s1). 389–416. 2 indexed citations
10.
Fernandes, Roshan, et al.. (2023). TAKEN: A Traffic Knowledge-Based Navigation System for Connected and Autonomous Vehicles. Sensors. 23(2). 653–653. 5 indexed citations
11.
Rodrigues, Anisha P, et al.. (2023). Comparative analysis of machine learning techniques in the prediction of the strength of structural concrete. Materials Today Proceedings. 88. 6–13. 4 indexed citations
12.
Marathe, Shriram, et al.. (2023). Smart modelling system for alkali-activated concrete pavements using machine learning techniques. Asian Journal of Civil Engineering. 24(7). 2193–2213. 6 indexed citations
13.
Fernandes, Roshan, et al.. (2022). Emotion Detection in Multimedia Data Using Convolution Neural Network. 157–161. 3 indexed citations
14.
Fernandes, Roshan, et al.. (2022). Skin lesion classification of dermoscopic images using machine learning and convolutional neural network. Scientific Reports. 12(1). 18134–18134. 126 indexed citations breakdown →
15.
Rodrigues, Anisha P, Roshan Fernandes, & P. Vijaya. (2022). A study on the evaluation of different regressors in Weather Prediction. 13–18. 2 indexed citations
16.
Fernandes, Roshan, et al.. (2022). Dolphin-political optimized tversky index based feature selection in spark architecture for clustering big data. Advances in Engineering Software. 176. 103331–103331. 6 indexed citations
17.
Fernandes, Roshan, et al.. (2022). Influencers Analysis from Social Media Data. 217–222. 3 indexed citations
18.
19.
Fernandes, Roshan, et al.. (2021). Comparative analysis of machine learning algorithms for Lip print based person identification. Evolutionary Intelligence. 15(1). 743–757. 10 indexed citations
20.
Rodrigues, Anisha P, et al.. (2015). Performance enhancement of Hadoop MapReduce framework for analyzing BigData. 1–8. 7 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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