Ankit Kumar

886 total citations
14 papers, 143 citations indexed

About

Ankit Kumar is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Ankit Kumar has authored 14 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Management Science and Operations Research. Recurrent topics in Ankit Kumar's work include Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Ankit Kumar is often cited by papers focused on Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Ankit Kumar collaborates with scholars based in India and United States. Ankit Kumar's co-authors include Asif Ekbal, Pushpak Bhattacharyya, Sriparna Saha, Shweta Yadav, Mauajama Firdaus, Punam Bedi, Richa Sharma, Dinesh Vij, Reshma Rastogi and Manoj Kumar and has published in prestigious journals such as Molecular Physics, Knowledge-Based Systems and Journal of Physics Conference Series.

In The Last Decade

Ankit Kumar

11 papers receiving 130 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankit Kumar India 6 101 39 14 13 8 14 143
Daniel Hesslow France 2 139 1.4× 12 0.3× 13 0.9× 24 1.8× 5 0.6× 4 194
Natalia Ponomareva United States 5 139 1.4× 14 0.4× 28 2.0× 5 0.4× 3 0.4× 21 165
Abhishek Singh India 5 93 0.9× 18 0.5× 13 0.9× 10 0.8× 1 0.1× 16 140
Diganta Saha India 8 307 3.0× 18 0.5× 28 2.0× 21 1.6× 6 0.8× 29 335
Xiangru Tang United States 7 234 2.3× 32 0.8× 18 1.3× 31 2.4× 17 2.1× 22 317
Stephen Dignum United Kingdom 5 110 1.1× 34 0.9× 21 1.5× 5 0.4× 11 1.4× 6 132
Kunli Zhang China 6 107 1.1× 23 0.6× 24 1.7× 8 0.6× 1 0.1× 34 166
Jean-Philippe Bossuat Switzerland 5 114 1.1× 13 0.3× 14 1.0× 13 1.0× 20 2.5× 7 131
Mehwish Alam Germany 8 106 1.0× 22 0.6× 31 2.2× 10 0.8× 5 0.6× 29 142
Shan Zhao China 7 180 1.8× 36 0.9× 22 1.6× 28 2.2× 2 0.3× 16 238

Countries citing papers authored by Ankit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Kumar. A scholar is included among the top collaborators of Ankit 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 Ankit Kumar. Ankit Kumar 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
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Kumar, Ankit, Richa Sharma, & Punam Bedi. (2024). Towards Optimal NLP Solutions: Analyzing GPT and LLaMA-2 Models Across Model Scale, Dataset Size, and Task Diversity. Engineering Technology & Applied Science Research. 14(3). 14219–14224. 9 indexed citations
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Kumar, Manoj, et al.. (2021). Analysis of Automated text generation using Deep learning. 14–18. 8 indexed citations
6.
Kumar, Ankit, et al.. (2021). Credit Card Fraud Detection using Machine Learning. 167–171. 19 indexed citations
7.
Kumar, Ankit, et al.. (2021). Implementation of Deep Learning Neural Network In Forecasting of Solar Power. 1–6. 3 indexed citations
8.
Saravanan, T., et al.. (2021). Multi stratagem analysis of sentiments on twitter data using partial phrase harmonizing. IOP Conference Series Materials Science and Engineering. 1055(1). 12075–12075. 2 indexed citations
9.
Kumar, Ankit, et al.. (2020). A Comparative Study of Various Artificial Intelligence Based Agents for the Game of Angry Birds With and Without Splitting. Journal of Physics Conference Series. 1694(1). 12001–12001. 1 indexed citations
10.
Firdaus, Mauajama, Ankit Kumar, Asif Ekbal, & Pushpak Bhattacharyya. (2019). A Multi-Task Hierarchical Approach for Intent Detection and Slot Filling. Knowledge-Based Systems. 183. 104846–104846. 31 indexed citations
11.
Yadav, Shweta, Asif Ekbal, Sriparna Saha, Ankit Kumar, & Pushpak Bhattacharyya. (2018). Feature assisted stacked attentive shortest dependency path based Bi-LSTM model for protein–protein interaction. Knowledge-Based Systems. 166. 18–29. 52 indexed citations
12.
Kumar, Ankit & Reshma Rastogi. (2018). Self-Attention Enhanced Recurrent Neural Networks for Sentence Classification. 905–911. 4 indexed citations
13.
Kumar, Ankit, et al.. (2018). Text Summarization using Natural Language Processing. Digital WPI. 3 indexed citations
14.
Kumar, Ankit, et al.. (2016). A Recurrent Neural Network Architecture for De-identifying Clinical Records.. 188–197. 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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Breakdown of academic impact, for papers by Daniel Hesslow Breakdown of academic impact, for papers by Natalia Ponomareva Breakdown of academic impact, for papers by Abhishek Singh Breakdown of academic impact, for papers by Diganta Saha Breakdown of academic impact, for papers by Xiangru Tang Breakdown of academic impact, for papers by Stephen Dignum Breakdown of academic impact, for papers by Kunli Zhang Breakdown of academic impact, for papers by Jean-Philippe Bossuat Breakdown of academic impact, for papers by Mehwish Alam Breakdown of academic impact, for papers by Shan Zhao
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