Ankit Thakkar

3.8k total citations · 5 hit papers
46 papers, 2.4k citations indexed

About

Ankit Thakkar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Ankit Thakkar has authored 46 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 13 papers in Signal Processing. Recurrent topics in Ankit Thakkar's work include Network Security and Intrusion Detection (11 papers), Stock Market Forecasting Methods (10 papers) and Advanced Malware Detection Techniques (10 papers). Ankit Thakkar is often cited by papers focused on Network Security and Intrusion Detection (11 papers), Stock Market Forecasting Methods (10 papers) and Advanced Malware Detection Techniques (10 papers). Ankit Thakkar collaborates with scholars based in India. Ankit Thakkar's co-authors include Ritika Lohiya, Kinjal Chaudhari, Preksha Pareek, Ketan Kotecha, Dhaval K. Patel, Anjali Agrawal and Chirag Patel and has published in prestigious journals such as Expert Systems with Applications, IEEE Internet of Things Journal and Applied Soft Computing.

In The Last Decade

Ankit Thakkar

45 papers receiving 2.3k citations

Hit Papers

5 papers align trajectories

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.

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 →
A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges

2020 243 citations Ankit Thakkar, Ritika Lohiya Archives of Computational Methods in Engineering profile →
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions

2021 169 citations Ankit Thakkar, Ritika Lohiya Artificial Intelligence Review profile →
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System

2022 161 citations Ankit Thakkar, Ritika Lohiya Information Fusion profile →
Attack Classification of Imbalanced Intrusion Data for IoT Network Using Ensemble-Learning-Based Deep Neural Network

2023 90 citations Ankit Thakkar, Ritika Lohiya IEEE Internet of Things Journal profile →

Peers

Ankit Thakkar

CNC

MSOR

EEE

Qianmu Li China

G. Sahoo India

Shingo Mabu Japan

Shie-Jue Lee Taiwan

Patrick P. K. Chan China

Kotaro Hirasawa Japan

Erdoğan Doğdu Türkiye

Ran Wang China

Tao Shu United States

Lamjed Ben Saïd Tunisia

Qianmu Li China

Ankit Thakkar

919 ×0.8

CNC

1.0k ×0.9

275 ×0.4

161 ×0.3

MSOR

299 ×0.8

EEE

Citations per year, relative to Ankit Thakkar Ankit Thakkar (= 1×) peers Qianmu Li

Countries citing papers authored by Ankit Thakkar

Since Specialization

Citations

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

Fields of papers citing papers by Ankit Thakkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Thakkar

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Thakkar, Ankit, et al.. (2025). DeepFusionSent: A novel feature fusion approach for deep learning-enhanced sentiment classification. Information Fusion. 118. 103000–103000. 2 indexed citations

Lohiya, Ritika & Ankit Thakkar. (2024). A Compendium on Risk Assessment of Phishing Attack Using Attack Modeling Techniques. Procedia Computer Science. 235. 1105–1114. 1 indexed citations

Thakkar, Ankit, et al.. (2024). Fusion of linear and non-linear dimensionality reduction techniques for feature reduction in LSTM-based Intrusion Detection System. Applied Soft Computing. 154. 111378–111378. 27 indexed citations

Thakkar, Ankit, et al.. (2024). Sentiment Analysis of Self Driving Car Dataset: A comparative study of Deep Learning approaches. Procedia Computer Science. 235. 12–21. 2 indexed citations

Chaudhari, Kinjal & Ankit Thakkar. (2023). Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction. Expert Systems with Applications. 219. 119527–119527. 52 indexed citations

Chaudhari, Kinjal & Ankit Thakkar. (2023). Data fusion with factored quantization for stock trend prediction using neural networks. Information Processing & Management. 60(3). 103293–103293. 15 indexed citations

Thakkar, Ankit & Ritika Lohiya. (2023). Attack Classification of Imbalanced Intrusion Data for IoT Network Using Ensemble-Learning-Based Deep Neural Network. IEEE Internet of Things Journal. 10(13). 11888–11895. 90 indexed citations breakdown →

Thakkar, Ankit & Kinjal Chaudhari. (2022). Information fusion-based genetic algorithm with long short-term memory for stock price and trend prediction. Applied Soft Computing. 128. 109428–109428. 31 indexed citations

Thakkar, Ankit & Kinjal Chaudhari. (2020). Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions. Information Fusion. 65. 95–107. 148 indexed citations

10.

Thakkar, Ankit & Kinjal Chaudhari. (2020). A Comprehensive Survey on Portfolio Optimization, Stock Price and Trend Prediction Using Particle Swarm Optimization. Archives of Computational Methods in Engineering. 28(4). 2133–2164. 77 indexed citations

11.

Thakkar, Ankit & Kinjal Chaudhari. (2020). CREST: Cross-Reference to Exchange-based Stock Trend Prediction using Long Short-Term Memory. Procedia Computer Science. 167. 616–625. 42 indexed citations

12.

Agrawal, Anjali, et al.. (2020). Sentiment Analysis: An empirical comparison between various training algorithms for Artificial Neural Network. International Journal of Innovative Computing and Applications. 11(1). 1–1. 5 indexed citations

13.

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 →

14.

Chaudhari, Kinjal & Ankit Thakkar. (2019). Survey on handwriting-based personality trait identification. Expert Systems with Applications. 124. 282–308. 49 indexed citations

15.

Thakkar, Ankit & Ritika Lohiya. (2019). Role of swarm and evolutionary algorithms for intrusion detection system: A survey. Swarm and Evolutionary Computation. 53. 100631–100631. 80 indexed citations

16.

Chaudhari, Kinjal & Ankit Thakkar. (2019). A Comprehensive Survey on Travel Recommender Systems. Archives of Computational Methods in Engineering. 27(5). 1545–1571. 59 indexed citations

17.

Thakkar, Ankit & Ketan Kotecha. (2015). A new Bollinger Band based energy efficient routing for clustered wireless sensor network. Applied Soft Computing. 32. 144–153. 36 indexed citations

18.

Thakkar, Ankit, et al.. (2013). A new hybrid method for face recognition. 2. 1–9. 11 indexed citations

19.

Thakkar, Ankit. (2012). WCVALEACH: Weight and Coverage Based Energy Efficient Advanced Leach Algorithm. 2(6). 51–64. 2 indexed citations

20.

Patel, Chirag, et al.. (2012). Aggregate features approach for texture analysis. 1–5. 13 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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