Ritika Lohiya

1.8k total citations · 4 hit papers
14 papers, 1.2k citations indexed

About

Ritika Lohiya is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ritika Lohiya has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Ritika Lohiya's work include Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (10 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). Ritika Lohiya is often cited by papers focused on Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (10 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). Ritika Lohiya collaborates with scholars based in India, United Kingdom and Singapore. Ritika Lohiya's co-authors include Ankit Thakkar, Ankita Gandhi, Soujanya Poria, Amir Hussain, Erik Cambria and Kinjal Adhvaryu and has published in prestigious journals such as IEEE Internet of Things Journal, Information Fusion and Artificial Intelligence Review.

In The Last Decade

Ritika Lohiya

13 papers receiving 1.1k citations

Hit Papers

A Review on Machine Learning and Deep Learning Perspectiv... 2020 2026 2022 2024 2020 2021 2022 2023 50 100 150 200
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 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 →
  2. 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 →
  3. 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 →
  4. 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 — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ritika Lohiya India 11 901 749 549 163 109 14 1.2k
Haixia Hou China 7 739 0.8× 643 0.9× 473 0.9× 176 1.1× 106 1.0× 8 1.1k
Rodrigo Sanches Miani Brazil 9 864 1.0× 508 0.7× 478 0.9× 196 1.2× 128 1.2× 49 1.0k
Sang C. Suh United States 10 596 0.7× 653 0.9× 280 0.5× 97 0.6× 97 0.9× 36 914
Nathan Shone United Kingdom 8 1.0k 1.1× 895 1.2× 577 1.1× 120 0.7× 86 0.8× 24 1.2k
Abebe Diro Australia 10 954 1.1× 677 0.9× 481 0.9× 303 1.9× 138 1.3× 18 1.3k
Mrutyunjaya Panda India 16 555 0.6× 582 0.8× 310 0.6× 132 0.8× 45 0.4× 58 975
Jinlong Fei China 5 1.2k 1.3× 1.1k 1.4× 698 1.3× 148 0.9× 100 0.9× 27 1.4k
Ameer Al-Nemrat United Kingdom 9 1.1k 1.3× 941 1.3× 683 1.2× 245 1.5× 96 0.9× 24 1.4k
Luiz F. Carvalho Brazil 16 1.1k 1.2× 835 1.1× 483 0.9× 100 0.6× 129 1.2× 40 1.3k
Xinzheng He China 3 1.1k 1.2× 954 1.3× 627 1.1× 122 0.7× 88 0.8× 5 1.3k

Countries citing papers authored by Ritika Lohiya

Since Specialization
Citations

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

Fields of papers citing papers by Ritika Lohiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritika Lohiya

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

All Works

14 of 14 papers shown
1.
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
2.
Gandhi, Ankita, Kinjal Adhvaryu, Ritika Lohiya, et al.. (2024). Hate speech detection: A comprehensive review of recent works. Expert Systems. 41(8). 12 indexed citations
3.
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 →
4.
Thakkar, Ankit & Ritika Lohiya. (2023). A Review on Challenges and Future Research Directions for Machine Learning-Based Intrusion Detection System. Archives of Computational Methods in Engineering. 30(7). 4245–4269. 31 indexed citations
5.
Thakkar, Ankit & Ritika Lohiya. (2022). Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System. Information Fusion. 90. 353–363. 161 indexed citations breakdown →
6.
Thakkar, Ankit & Ritika Lohiya. (2021). A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions. Artificial Intelligence Review. 55(1). 453–563. 169 indexed citations breakdown →
7.
Thakkar, Ankit & Ritika Lohiya. (2021). Analyzing fusion of regularization techniques in the deep learning‐based intrusion detection system. International Journal of Intelligent Systems. 36(12). 7340–7388. 31 indexed citations
8.
Thakkar, Ankit & Ritika Lohiya. (2020). A Review of the Advancement in Intrusion Detection Datasets. Procedia Computer Science. 167. 636–645. 172 indexed citations
9.
Thakkar, Ankit & Ritika Lohiya. (2020). Attack classification using feature selection techniques: a comparative study. Journal of Ambient Intelligence and Humanized Computing. 12(1). 1249–1266. 104 indexed citations
10.
Lohiya, Ritika & Ankit Thakkar. (2020). Application Domains, Evaluation Data Sets, and Research Challenges of IoT: A Systematic Review. IEEE Internet of Things Journal. 8(11). 8774–8798. 65 indexed citations
11.
Thakkar, Ankit & Ritika Lohiya. (2020). A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges. Archives of Computational Methods in Engineering. 28(4). 3211–3243. 243 indexed citations breakdown →
12.
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
13.
Lohiya, Ritika, et al.. (2017). Privacy Preserving Data Mining: A Comprehensive Survey. International Journal of Computer Applications. 161(6). 30–38. 2 indexed citations
14.
Lohiya, Ritika, et al.. (2015). Survey on Mobile Forensics. International Journal of Computer Applications. 118(16). 6–11. 10 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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