Aakanksha Sharaff

907 total citations
50 papers, 375 citations indexed

About

Aakanksha Sharaff is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Aakanksha Sharaff has authored 50 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 23 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Aakanksha Sharaff's work include Spam and Phishing Detection (18 papers), Sentiment Analysis and Opinion Mining (14 papers) and Text and Document Classification Technologies (13 papers). Aakanksha Sharaff is often cited by papers focused on Spam and Phishing Detection (18 papers), Sentiment Analysis and Opinion Mining (14 papers) and Text and Document Classification Technologies (13 papers). Aakanksha Sharaff collaborates with scholars based in India, Canada and Saudi Arabia. Aakanksha Sharaff's co-authors include Naresh Kumar Nagwani, Mohit Jain, Preeti Chandrakar, Rifaqat Ali, Kuljeet Kaur, Surbhi Bhatia, G. R. Sinha, Anshul Verma, Dilip Singh Sisodia and Santanu Kumar Rath and has published in prestigious journals such as Expert Systems with Applications, Computer Networks and Multimedia Tools and Applications.

In The Last Decade

Aakanksha Sharaff

45 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aakanksha Sharaff India 13 233 148 73 38 34 50 375
Komal Kumar Bhatia India 11 133 0.6× 206 1.4× 107 1.5× 34 0.9× 20 0.6× 58 397
G. Geetha India 10 104 0.4× 106 0.7× 56 0.8× 51 1.3× 18 0.5× 53 349
Jayakrushna Sahoo India 9 151 0.6× 126 0.9× 41 0.6× 22 0.6× 16 0.5× 30 297
Devesh Kumar Srivastava India 8 127 0.5× 66 0.4× 94 1.3× 23 0.6× 9 0.3× 35 276
Thanh Toan Nguyen Australia 8 119 0.5× 76 0.5× 20 0.3× 18 0.5× 25 0.7× 25 250
Badraddine Aghoutane Morocco 9 76 0.3× 78 0.5× 22 0.3× 23 0.6× 56 1.6× 33 225
Luiz F.S. Coletta Brazil 9 262 1.1× 73 0.5× 10 0.1× 22 0.6× 26 0.8× 14 355
Renas Rajab Asaad Iraq 13 123 0.5× 94 0.6× 61 0.8× 10 0.3× 22 0.6× 58 423
Hamidreza Koohi Iran 8 123 0.5× 284 1.9× 62 0.8× 10 0.3× 67 2.0× 15 370

Countries citing papers authored by Aakanksha Sharaff

Since Specialization
Citations

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

Fields of papers citing papers by Aakanksha Sharaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aakanksha Sharaff. 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 Aakanksha Sharaff. The network helps show where Aakanksha Sharaff may publish in the future.

Co-authorship network of co-authors of Aakanksha Sharaff

This figure shows the co-authorship network connecting the top 25 collaborators of Aakanksha Sharaff. A scholar is included among the top collaborators of Aakanksha Sharaff 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 Aakanksha Sharaff. Aakanksha Sharaff 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.
Sharaff, Aakanksha, et al.. (2025). Traversing the landscape of aspect-based sentiment analysis: Delving deeper into techniques, trends, and future directions. Computer Science Review. 60. 100885–100885.
2.
Sharaff, Aakanksha, et al.. (2024). Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape. Knowledge and Information Systems. 66(11). 6761–6783.
3.
Sharaff, Aakanksha, et al.. (2023). Spam email classification and sentiment analysis based on semantic similarity methods. International Journal of Computational Science and Engineering. 26(1). 65–65. 1 indexed citations
4.
Sharaff, Aakanksha, et al.. (2023). Sentiment Data Analysis for Detecting Social Sense after COVID-19 using Hybrid Optimization Method. SN Computer Science. 4(5). 5 indexed citations
5.
6.
Sharaff, Aakanksha, et al.. (2023). Control Stochastic Selection-Based Biomedical Text Summarization Using Sim-TLBO. Arabian Journal for Science and Engineering. 49(3). 3593–3607. 2 indexed citations
7.
Sharaff, Aakanksha, et al.. (2023). Query based biomedical document retrieval for clinical information access with the semantic similarity. Multimedia Tools and Applications. 83(18). 55305–55317. 1 indexed citations
8.
Sharaff, Aakanksha, et al.. (2023). SMS sentiment classification using an evolutionary optimization based fuzzy recurrent neural network. Multimedia Tools and Applications. 82(27). 42207–42238. 12 indexed citations
9.
Sharaff, Aakanksha, et al.. (2023). SnorkelPlus: A Novel Approach for Identifying Relationships Among Biomedical Entities Within Abstracts. The Computer Journal. 67(3). 1187–1200. 2 indexed citations
10.
Sharaff, Aakanksha, et al.. (2023). An empirical analysis of deep ensemble approach on COVID-19 and tuberculosis X-ray images. International Journal of Biometrics. 15(3/4). 459–459. 4 indexed citations
11.
Sharaff, Aakanksha, et al.. (2023). ABEE: automated bio entity extraction from biomedical text documents. Data Technologies and Applications. 57(2). 222–244.
12.
Sharaff, Aakanksha, et al.. (2023). Rice variety classification & yield prediction using semantic segmentation of agro-morphological characteristics. Multimedia Tools and Applications. 82(29). 45567–45584. 7 indexed citations
13.
Sharaff, Aakanksha, et al.. (2022). Frequent item-set mining and clustering based ranked biomedical text summarization. The Journal of Supercomputing. 79(1). 139–159. 8 indexed citations
14.
Sharaff, Aakanksha, et al.. (2022). Graph Ranked Clustering Based Biomedical Text Summarization Using Top k Similarity. Computer Systems Science and Engineering. 45(3). 2333–2349. 2 indexed citations
15.
Sharaff, Aakanksha, et al.. (2022). Feature based cluster ranking approach for single document summarization. International Journal of Information Technology. 14(4). 2057–2065. 14 indexed citations
16.
Sharaff, Aakanksha, et al.. (2021). Prospecting the Effect of Topic Modeling in Information Retrieval. International Journal on Semantic Web and Information Systems. 17(3). 18–34. 3 indexed citations
17.
Sharaff, Aakanksha, et al.. (2021). Rice Crop Disease Prediction Using Machine Learning Technique. International Journal of Agricultural and Environmental Information Systems. 12(4). 1–15. 8 indexed citations
18.
Sharaff, Aakanksha, et al.. (2021). Sentiment analysis from email pattern using feature selection algorithm. Expert Systems. 41(2). 14 indexed citations
19.
Sharaff, Aakanksha, et al.. (2015). Impact of Feature Selection Technique on Email Classification. 1(1). 59–63. 6 indexed citations
20.
Sharaff, Aakanksha & Naresh Kumar Nagwani. (2015). Email thread identification using latent Dirichlet allocation and non-negative matrix factorization based clustering techniques. Journal of Information Science. 42(2). 200–212. 18 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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2026