Annushree Bablani

1.0k total citations
27 papers, 634 citations indexed

About

Annushree Bablani is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Annushree Bablani has authored 27 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Cognitive Neuroscience and 10 papers in Social Psychology. Recurrent topics in Annushree Bablani's work include EEG and Brain-Computer Interfaces (14 papers), Deception detection and forensic psychology (10 papers) and Adversarial Robustness in Machine Learning (7 papers). Annushree Bablani is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Deception detection and forensic psychology (10 papers) and Adversarial Robustness in Machine Learning (7 papers). Annushree Bablani collaborates with scholars based in India and United Kingdom. Annushree Bablani's co-authors include Damodar Reddy Edla, Chandra Sekhara Rao Annavarapu, Shubham Dodia, Diwakar Tripathi, Venkatanareshbabu Kuppili, Dharavath Ramesh, Ramalingaswamy Cheruku, Neha Tiwari, Alok Kumar Shukla and Saugat Bhattacharyya and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Annushree Bablani

26 papers receiving 605 citations

Peers

Annushree Bablani

ACCOU

Mourad Ykhlef Saudi Arabia

David B. Grimes United States

K. R. Seeja India

Yousef Al-Ohali Saudi Arabia

Xiaoqing Gu China

Kambiz Badie Iran

Chin‐Feng Lin Taiwan

Yulong Pei Netherlands

Liping Wang China

Saman Sargolzaei United States

Mourad Ykhlef Saudi Arabia

Annushree Bablani

152 ×0.6

323 ×1.4

22 ×0.3

ACCOU

221 ×3.0

99 ×1.5

Citations per year, relative to Annushree Bablani Annushree Bablani (= 1×) peers Mourad Ykhlef

Countries citing papers authored by Annushree Bablani

Since Specialization

Citations

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

Fields of papers citing papers by Annushree Bablani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annushree Bablani

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

All Works

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20 of 20 papers shown

Bablani, Annushree, et al.. (2024). Spatial spiking neural network for classification of EEG signals for concealed information test. Multimedia Tools and Applications. 83(33). 79259–79280. 1 indexed citations

Bablani, Annushree, et al.. (2024). TOPS : A Framework for Trusted Opinion Analysis of Product Reviews Using Hybrid Deep Learning Based D2CL Filter. Expert Systems. 42(2).

Bablani, Annushree, et al.. (2024). Classification of Motor Imagery based EEG signals using Ensemble model. 1–6. 1 indexed citations

Bablani, Annushree, et al.. (2021). Lie Detection Using Fuzzy Ensemble Approach With Novel Defuzzification Method for Classification of EEG Signals. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 16 indexed citations

Tripathi, Diwakar, et al.. (2021). Experimental analysis of machine learning methods for credit score classification. Progress in Artificial Intelligence. 10(3). 217–243. 25 indexed citations

Annavarapu, Chandra Sekhara Rao, et al.. (2021). Machine learning algorithms for social media analysis: A survey. Computer Science Review. 40. 100395–100395. 158 indexed citations

Bablani, Annushree, Damodar Reddy Edla, Venkatanareshbabu Kuppili, & Dharavath Ramesh. (2020). A multi stage EEG data classification using k-means and feed forward neural network. Clinical Epidemiology and Global Health. 8(3). 718–724. 11 indexed citations

Edla, Damodar Reddy, et al.. (2020). Brain computer interface for measuring the impact of yoga on concentration levels in engineering students. Journal of Intelligent & Fuzzy Systems. 38(5). 6365–6376. 2 indexed citations

Tripathi, Diwakar, Damodar Reddy Edla, Venkatanareshbabu Kuppili, & Annushree Bablani. (2020). Evolutionary Extreme Learning Machine with novel activation function for credit scoring. Engineering Applications of Artificial Intelligence. 96. 103980–103980. 45 indexed citations

10.

Edla, Damodar Reddy, et al.. (2020). Intelligent-ANFIS Model for Predicting Measurement of Surface Roughness and Geometric Tolerances in Three-Axis CNC Milling. IEEE Transactions on Instrumentation and Measurement. 69(10). 7683–7694. 23 indexed citations

11.

Dodia, Shubham, Damodar Reddy Edla, Annushree Bablani, Dharavath Ramesh, & Venkatanareshbabu Kuppili. (2019). An efficient EEG based deceit identification test using wavelet packet transform and linear discriminant analysis. Journal of Neuroscience Methods. 314. 31–40. 35 indexed citations

12.

Bablani, Annushree, et al.. (2019). A Synergistic Concealed Information Test With Novel Approach for EEG Channel Selection and SVM Parameter Optimization. IEEE Transactions on Information Forensics and Security. 14(11). 3057–3068. 17 indexed citations

13.

Dodia, Shubham, Damodar Reddy Edla, Annushree Bablani, & Ramalingaswamy Cheruku. (2019). Lie detection using extreme learning machine: A concealed information test based on short‐time Fourier transform and binary bat optimization using a novel fitness function. Computational Intelligence. 36(2). 637–658. 18 indexed citations

14.

Tripathi, Diwakar, Damodar Reddy Edla, Venkatanareshbabu Kuppili, Annushree Bablani, & Dharavath Ramesh. (2018). Credit Scoring Model based on Weighted Voting and Cluster based Feature Selection. Procedia Computer Science. 132. 22–31. 40 indexed citations

15.

Bablani, Annushree, Damodar Reddy Edla, & Shubham Dodia. (2018). Classification of EEG Data using k-Nearest Neighbor approach for Concealed Information Test. Procedia Computer Science. 143. 242–249. 71 indexed citations

16.

Bablani, Annushree & Diwakar Tripathi. (2018). A Review on Methods Applied on P300-Based Lie Detectors. Advances in intelligent systems and computing. 251–257. 1 indexed citations

17.

Kuppili, Venkatanareshbabu, Damodar Reddy Edla, & Annushree Bablani. (2018). Novel fitness function for 3D image reconstruction using bat algorithm based autoencoder. 1–2. 1 indexed citations

18.

Bablani, Annushree, et al.. (2018). Subject based Deceit Identification using Empirical Mode Decomposition. Procedia Computer Science. 132. 32–39. 5 indexed citations

19.

Bablani, Annushree, Damodar Reddy Edla, Diwakar Tripathi, & Venkatanareshbabu Kuppili. (2018). An efficient Concealed Information Test: EEG feature extraction and ensemble classification for lie identification. Machine Vision and Applications. 30(5). 813–832. 21 indexed citations

20.

Bablani, Annushree, Damodar Reddy Edla, & Venkatanareshbabu Kuppili. (2018). Deceit Identification Test on EEG Data Using Deep Belief Network. 1–6. 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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