Abhinav Kumar

2.2k total citations · 1 hit paper
76 papers, 1.3k citations indexed

About

Abhinav Kumar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abhinav Kumar has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 16 papers in Information Systems and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abhinav Kumar's work include Sentiment Analysis and Opinion Mining (11 papers), Hate Speech and Cyberbullying Detection (11 papers) and Misinformation and Its Impacts (10 papers). Abhinav Kumar is often cited by papers focused on Sentiment Analysis and Opinion Mining (11 papers), Hate Speech and Cyberbullying Detection (11 papers) and Misinformation and Its Impacts (10 papers). Abhinav Kumar collaborates with scholars based in India, United States and United Kingdom. Abhinav Kumar's co-authors include Jyoti Prakash Singh, Nripendra P. Rana, Yogesh K. Dwivedi, Junhui Wang, Riddhiman Ghosh, Malú Castellanos, Meichun Hsu, Arjun Mukherjee, Bing Liu and Xiaoming Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biophysical Journal and IEEE Access.

In The Last Decade

Abhinav Kumar

69 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.

Spotting opinion spammers using behavioral footprints

2013 267 citations Abhinav Kumar et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abhinav Kumar India	16	568	388	286	255	123	76	1.3k
Chao Yang China	20	791 1.4×	607 1.6×	211 0.7×	156 0.6×	30 0.2×	105	1.8k
Stuart E. Middleton United Kingdom	15	568 1.0×	711 1.8×	314 1.1×	229 0.9×	178 1.4×	60	1.5k
Yi-Cheng Chen Taiwan	17	320 0.6×	182 0.5×	150 0.5×	82 0.3×	65 0.5×	66	1.1k
Jan Platoš Czechia	17	673 1.2×	157 0.4×	154 0.5×	190 0.7×	23 0.2×	154	1.3k
Wesley De Neve Belgium	23	561 1.0×	167 0.4×	130 0.5×	823 3.2×	21 0.2×	149	2.0k
Hideaki Takeda Japan	22	1.3k 2.2×	522 1.3×	186 0.7×	303 1.2×	93 0.8×	197	2.3k
Bai Wang China	20	593 1.0×	292 0.8×	53 0.2×	278 1.1×	19 0.2×	109	1.5k
Nemanja Djuric United States	18	771 1.4×	232 0.6×	95 0.3×	439 1.7×	90 0.7×	51	1.7k
Ghulam Mujtaba Pakistan	20	873 1.5×	278 0.7×	157 0.5×	423 1.7×	50 0.4×	42	1.6k

Countries citing papers authored by Abhinav Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Abhinav Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Kumar

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

Kumar, Abhinav, et al.. (2026). Computational investigation of iris melanoma effects on aqueous humor dynamics in the anterior chamber of the human eye. Physics of Fluids. 38(1).

Sharma, Ritesh, Sameer Shrivastava, Sanjay Kumar Singh, et al.. (2025). XAI-INVENT: An explainable artificial intelligence based framework for rapid discovery of novel antibiotics. Computers & Electrical Engineering. 123. 110098–110098. 1 indexed citations

Pradhan, Jitesh, Ashish Singh, Abhinav Kumar, & Muhammad Khurram Khan. (2024). Skin lesion classification using modified deep and multi-directional invariant handcrafted features. Journal of Network and Computer Applications. 231. 103949–103949. 2 indexed citations

Saumya, Sunil, Abhinav Kumar, & Jyoti Prakash Singh. (2024). Filtering offensive language from multilingual social media contents: A deep learning approach. Engineering Applications of Artificial Intelligence. 133. 108159–108159. 7 indexed citations

Kumar, Abhinav, et al.. (2024). A hybrid convolutional neural network for sarcasm detection from multilingual social media posts. Multimedia Tools and Applications. 84(16). 15867–15895. 1 indexed citations

Kumar, Abhinav, Swastik Brahma, Baocheng Geng, Charles Kamhoua, & Pramod K. Varshney. (2024). A Hypothesis Testing-based Framework for Cyber Deception with Sludging. 1–8. 1 indexed citations

Singh, Jyoti Prakash, et al.. (2024). Identification of COVID-19 with CT scans using radiomics and DL-based features. Network Modeling Analysis in Health Informatics and Bioinformatics. 13(1). 2 indexed citations

Sharma, Santosh Kumar, Debendra Muduli, Rojalina Priyadarshini, et al.. (2023). An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images. Engineering Applications of Artificial Intelligence. 128. 107449–107449. 20 indexed citations

Brazil, Garrick, Abhinav Kumar, Julian Straub, et al.. (2023). Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. 13154–13164. 40 indexed citations

10.

Pradhan, Jitesh, et al.. (2023). A vision transformer-based automated human identification using ear biometrics. Journal of Information Security and Applications. 78. 103599–103599. 7 indexed citations

11.

Batarseh, Feras A., et al.. (2021). The application of artificial intelligence in software engineering: a\n review challenging conventional wisdom. arXiv (Cornell University). 2 indexed citations

12.

Kumar, Abhinav, Tim K. Marks, Wenxuan Mou, et al.. (2020). LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood. 8233–8243. 87 indexed citations

13.

Kumar, Abhinav, et al.. (2020). Intelligent Assistant for Exploring Data Visualizations.. The Florida AI Research Society. 538–543. 3 indexed citations

14.

Kumar, Abhinav, Sunil Saumya, & Jyoti Prakash Singh. (2020). NITP-AI-NLP@HASOC-FIRE2020: Fine Tuned BERT for the Hate Speech and Offensive Content Identification from Social Media.. 266–273. 3 indexed citations

15.

Kumar, Abhinav, Sunil Saumya, & Jyoti Prakash Singh. (2020). NITP-AI-NLP@UrduFake-FIRE2020: Multi-layer Dense Neural Network for Fake News Detection in Urdu News Articles.. 458–463. 2 indexed citations

16.

Saumya, Sunil, et al.. (2020). IIIT_DWD@HASOC 2020: Identifying offensive content in Indo-European languages.. 139–144. 3 indexed citations

17.

Kumar, Abhinav, Sunil Saumya, & Jyoti Prakash Singh. (2020). NITP-AI-NLP@HASOC-Dravidian-CodeMix-FIRE2020: A Machine Learning Approach to Identify Offensive Languages from Dravidian Code-Mixed Text.. 384–390. 6 indexed citations

18.

Kumar, Abhinav, et al.. (2020). Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization. Language Resources and Evaluation. 590–599. 2 indexed citations

19.

Kumar, Abhinav, Sunil Saumya, & Jyoti Prakash Singh. (2020). NITP-AI-NLP@Dravidian-CodeMix-FIRE2020: A Hybrid CNN and Bi-LSTM Network for Sentiment Analysis of Dravidian Code-Mixed Social Media Posts.. 582–590. 1 indexed citations

20.

Kumar, Abhinav, Jyoti Prakash Singh, & Nripendra P. Rana. (2017). Authenticity of Geo-Location and Place Name in Tweets. Journal of the Association for Information Systems. 9 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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