Rohit Kumar Kaliyar

2.0k total citations · 2 hit papers
30 papers, 1.2k citations indexed

About

Rohit Kumar Kaliyar is a scholar working on Information Systems, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Rohit Kumar Kaliyar has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 16 papers in Sociology and Political Science and 14 papers in Artificial Intelligence. Recurrent topics in Rohit Kumar Kaliyar's work include Spam and Phishing Detection (16 papers), Misinformation and Its Impacts (16 papers) and Advanced Malware Detection Techniques (10 papers). Rohit Kumar Kaliyar is often cited by papers focused on Spam and Phishing Detection (16 papers), Misinformation and Its Impacts (16 papers) and Advanced Malware Detection Techniques (10 papers). Rohit Kumar Kaliyar collaborates with scholars based in India, Egypt and Saudi Arabia. Rohit Kumar Kaliyar's co-authors include Anurag Goswami, Pratik Narang, Soumendu Sinha, Suneet Gupta, Vidit Jain, Mohit Agarwal, Gaurav Singal, Yashvardhan Sharma, Vinay Chamola and Jay Yadav and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and Multimedia Tools and Applications.

In The Last Decade

Rohit Kumar Kaliyar

25 papers receiving 1.2k citations

Hit 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.

FakeBERT: Fake news detection in social media with a BERT-based deep learning approach

2021 427 citations Rohit Kumar Kaliyar, Anurag Goswami et al. profile →
FNDNet – A deep convolutional neural network for fake news detection

2020 300 citations Rohit Kumar Kaliyar, Anurag Goswami et al. Cognitive Systems Research profile →

Peers

Countries citing papers authored by Rohit Kumar Kaliyar

Since Specialization

Citations

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

Fields of papers citing papers by Rohit Kumar Kaliyar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rohit Kumar Kaliyar. 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 Rohit Kumar Kaliyar. The network helps show where Rohit Kumar Kaliyar may publish in the future.

Co-authorship network of co-authors of Rohit Kumar Kaliyar

This figure shows the co-authorship network connecting the top 25 collaborators of Rohit Kumar Kaliyar. A scholar is included among the top collaborators of Rohit Kumar Kaliyar 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 Rohit Kumar Kaliyar. Rohit Kumar Kaliyar 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

#	Work	Indexed citations
1	Emotionally Intelligent Chatbots: Enhancing Human-Machine Interaction using BERT Transformer 2025 ·(unknown), (unknown), Yuvraj Singh, Rohit Kumar Kaliyar	0
2	Federated Learning With Dataset Splitting and Weighted Mean Using Particle Swarm Optimization 2024 ·IEEE Access ·Mohit Agarwal, (unknown), Rohit Kumar Kaliyar, Akansha Singh, Krishna Kant Singh, Sameh Askar, Mohamed Abouhawwash	0
3	Lung Cancer Diagnosis using a light weight deep learning model 2024 ·(unknown), (unknown), Rohit Kumar Kaliyar, Suneet Kumar Gupta	1
4	Advancements in Early Detection of Cervical Cancer using Machine Learning and Deep Learning Models for Cervicography Analysis 2024 ·Jagendra Singh, Rohit Kumar Kaliyar, (unknown), Namita Sharma, (unknown), (unknown)	5
5	Abusive Content Detection using Deep Learning: A BERT-Based Approach 2024 ·(unknown), (unknown), (unknown), Rohit Kumar Kaliyar	2
6	Understanding the Use and Abuse of Social Media: Generalized Fake News Detection With a Multichannel Deep Neural Network 2022 ·IEEE Transactions on Computational Social Systems ·Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Vinay Chamola	15
7	PDRSD-A systematic review on plan-driven SDLC models for software development 2022 ·2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) ·(unknown), Rohit Kumar Kaliyar, Anurag Goswami	6
8	B-LIAR: A novel model for handling Multiclass Fake News data utilizing a Transformer Encoder Stack-based architecture 2022 ·(unknown), Rohit Kumar Kaliyar, (unknown), (unknown), Vipul Kumar Mishra, Anurag Goswami	2
9	EchoFakeD: improving fake news detection in social media with an efficient deep neural network 2021 ·Neural Computing and Applications ·Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang	72
10	AENeT: an attention-enabled neural architecture for fake news detection using contextual features 2021 ·Neural Computing and Applications ·Vidit Jain, Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Yashvardhan Sharma	39
11	DeepNet: An Efficient Neural Network for Fake News Detection using News-User Engagements 2020 ·Rohit Kumar Kaliyar, (unknown), (unknown), (unknown), (unknown), (unknown)	7
12	A Multi-layer Bidirectional Transformer Encoder for Pre-trained Word Embedding: A Survey of BERT 2020 ·Rohit Kumar Kaliyar	27
13	PSent20: An Effective Political Sentiment Analysis with Deep Learning Using Real-Time Social Media Tweets 2020 ·(unknown), Rohit Kumar Kaliyar	6
14	FNDNet – A deep convolutional neural network for fake news detection breakdown → 2020 ·Cognitive Systems Research ·Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Soumendu Sinha	300
15	MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset 2020 ·Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang	7
16	Misinformation Detection on Online Social Media-A Survey 2019 ·Rohit Kumar Kaliyar, (unknown)	4
17	FCNN-LDA: A Faster Convolution Neural Network model for Leaf Disease identification on Apple's leaf dataset 2019 ·Mohit Agarwal, Rohit Kumar Kaliyar, Gaurav Singal, Suneet Gupta	30
18	Multiclass Fake News Detection using Ensemble Machine Learning 2019 ·Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang	31
19	Fake News Detection Using A Deep Neural Network 2018 ·Rohit Kumar Kaliyar	55
20	An Outline on Big Data and Big Data Analytics 2018 ·Devottam Gaurav, Jay Yadav, Rohit Kumar Kaliyar, Ayush Goyal	8

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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