Preksha Pareek

546 total citations · 1 hit paper
11 papers, 313 citations indexed

About

Preksha Pareek is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Preksha Pareek has authored 11 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Preksha Pareek's work include Human Pose and Action Recognition (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Artificial Intelligence and Decision Support Systems (1 paper). Preksha Pareek is often cited by papers focused on Human Pose and Action Recognition (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Artificial Intelligence and Decision Support Systems (1 paper). Preksha Pareek collaborates with scholars based in India, Qatar and Saudi Arabia. Preksha Pareek's co-authors include Ankit Thakkar, Ketan Kotecha, Shruti Patil, K. V. Prema, Ajith Abraham, Lubna A. Gabralla, Shreya Mahajan, Tanupriya Choudhury, Shivali Amit Wagle and Ashutosh Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Artificial Intelligence Review.

In The Last Decade

Preksha Pareek

9 papers receiving 299 citations

Hit Papers

A survey on video-based Human Action Recognition: recent ... 2020 2026 2022 2024 2020 50 100 150 200 250
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. A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications
    2020 262 citations Preksha Pareek, Ankit Thakkar Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Preksha Pareek India 5 213 159 68 29 21 11 313
Srijan Das United States 9 255 1.2× 150 0.9× 78 1.1× 33 1.1× 20 1.0× 22 308
Sandra Ebert Germany 3 195 0.9× 164 1.0× 30 0.4× 14 0.5× 35 1.7× 3 284
Javed Imran India 8 293 1.4× 175 1.1× 110 1.6× 86 3.0× 16 0.8× 12 366
Kirill Gavrilyuk Netherlands 2 297 1.4× 174 1.1× 93 1.4× 49 1.7× 10 0.5× 2 325
Marwa Elpeltagy Egypt 8 149 0.7× 109 0.7× 34 0.5× 31 1.1× 6 0.3× 9 317
Shilpa Sethi India 6 175 0.8× 46 0.3× 40 0.6× 31 1.1× 15 0.7× 19 259
Svebor Karaman United States 11 282 1.3× 110 0.7× 33 0.5× 20 0.7× 10 0.5× 21 357
Charul Bhatnagar India 10 228 1.1× 73 0.5× 39 0.6× 62 2.1× 16 0.8× 39 315
Soumava Kumar Roy Australia 9 189 0.9× 67 0.4× 57 0.8× 10 0.3× 7 0.3× 16 264
Ionuţ Cosmin Duţă Italy 6 230 1.1× 99 0.6× 50 0.7× 23 0.8× 5 0.2× 9 279

Countries citing papers authored by Preksha Pareek

Since Specialization
Citations

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

Fields of papers citing papers by Preksha Pareek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preksha Pareek

This figure shows the co-authorship network connecting the top 25 collaborators of Preksha Pareek. A scholar is included among the top collaborators of Preksha Pareek 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 Preksha Pareek. Preksha Pareek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Mahajan, Shreya, et al.. (2024). Enhancing fraud detection in banking by integration of graph databases with machine learning. MethodsX. 12. 102683–102683. 3 indexed citations
2.
Pareek, Preksha, et al.. (2024). Conversational AI for Mental Health Support. 1–7.
3.
Wagle, Shivali Amit, et al.. (2024). Crop recommendation and forecasting system for Maharashtra using machine learning with LSTM: a novel expectation-maximization technique. SHILAP Revista de lepidopterología. 5(1). 7 indexed citations
4.
Wagle, Shivali Amit, et al.. (2024). A multi-task model for failure identification and GPS assessment in metro trains. AIMS environmental science. 11(6). 960–986.
5.
Pramanik, Pijush Kanti Dutta, et al.. (2024). Detecting toxic comments on social media: an extensive evaluation of machine learning techniques. Journal of Computational Social Science. 8(1). 1 indexed citations
6.
Patil, Shruti, et al.. (2023). Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder. International Journal of Environmental Research and Public Health. 20(5). 4244–4244. 17 indexed citations
7.
Pareek, Preksha, et al.. (2023). A Bone Fracture Detection using AI-Based Techniques. Scalable Computing Practice and Experience. 24(2). 161–171. 6 indexed citations
8.
Islam, Saiful, et al.. (2022). Enhancing the performance of 3D auto-correlation gradient features in depth action classification. International Journal of Multimedia Information Retrieval. 11(1). 61–76. 2 indexed citations
9.
Pareek, Preksha & Ankit Thakkar. (2021). RGB-D based human action recognition using evolutionary self-adaptive extreme learning machine with knowledge-based control parameters. Journal of Ambient Intelligence and Humanized Computing. 14(2). 939–957. 12 indexed citations
10.
Pareek, Preksha & Ankit Thakkar. (2020). A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications. Artificial Intelligence Review. 54(3). 2259–2322. 262 indexed citations breakdown →
11.
Pareek, Preksha & K. V. Prema. (2012). Classifying the population as BPL or non-BPL using Multilayer Neural Network. 3 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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