Niraj Kumar

525 total citations
25 papers, 205 citations indexed

About

Niraj Kumar is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Niraj Kumar has authored 25 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Information Systems. Recurrent topics in Niraj Kumar's work include Quantum Information and Cryptography (9 papers), Quantum Computing Algorithms and Architecture (9 papers) and Topic Modeling (8 papers). Niraj Kumar is often cited by papers focused on Quantum Information and Cryptography (9 papers), Quantum Computing Algorithms and Architecture (9 papers) and Topic Modeling (8 papers). Niraj Kumar collaborates with scholars based in India, United States and United Kingdom. Niraj Kumar's co-authors include Kannan Srinathan, Elham Kashefi, Brian Coyle, Iordanis Kerenidis, Eleni Diamanti, Marco Pistoia, Vasudeva Varma, Romina Yalovetzky, Shouvanik Chakrabarti and Dylan Herman and has published in prestigious journals such as Nature Communications, Physical review. A and Nature Reviews Physics.

In The Last Decade

Niraj Kumar

22 papers receiving 183 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Niraj Kumar India	7	192	36	32	25	10	25	205
Shouvanik Chakrabarti United States	9	167 0.9×	52 1.4×	11 0.3×	39 1.6×	12 1.2×	19	191
Matthias Fitzi United States	7	152 0.8×	79 2.2×	41 1.3×	22 0.9×	13 1.3×	10	203
Zhengbing Bian Canada	5	193 1.0×	43 1.2×	15 0.5×	82 3.3×	38 3.8×	12	223
Romina Yalovetzky United States	5	117 0.6×	41 1.1×	8 0.3×	28 1.1×	12 1.2×	11	133
Utkarsh Azad India	5	94 0.5×	23 0.6×	15 0.5×	30 1.2×	15 1.5×	13	123
Sheir Yarkoni Austria	4	91 0.5×	27 0.8×	7 0.2×	31 1.2×	10 1.0×	9	100
Akinori Kawachi Japan	6	93 0.5×	55 1.5×	11 0.3×	34 1.4×	6 0.6×	24	126
Elijah Pelofske United States	7	88 0.5×	21 0.6×	6 0.2×	29 1.2×	15 1.5×	18	100
Ben W. Reichardt United States	5	148 0.8×	67 1.9×	4 0.1×	70 2.8×	7 0.7×	9	173
Franc̨ois Arnault France	8	109 0.6×	40 1.1×	12 0.4×	25 1.0×	27 2.7×	16	140

Countries citing papers authored by Niraj Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Niraj Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niraj Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Niraj Kumar. A scholar is included among the top collaborators of Niraj 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 Niraj Kumar. Niraj 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, Niraj, et al.. (2025). Des-q: a quantum algorithm to provably speedup retraining of decision trees. Quantum. 9. 1588–1588. 1 indexed citations

Chakrabarti, Shouvanik, Kaushik Chakraborty, Shaltiel Eloul, et al.. (2025). Applications of certified randomness. Nature Reviews Physics. 7(9). 514–524.

He, Zichang, Shouvanik Chakrabarti, Dylan Herman, et al.. (2024). Invited: Challenges and Opportunities of Quantum Optimization in Finance. 1–4. 2 indexed citations

Herman, Dylan, Shouvanik Chakrabarti, Niraj Kumar, et al.. (2024). Characterizing barren plateaus in quantum ansätze with the adjoint representation. Nature Communications. 15(1). 7171–7171. 33 indexed citations

Kumar, Niraj, et al.. (2023). A Hybrid Schema: LSTM-BiLSTM with Attention Mechanism to Predict Emotion in Twitter Data. International Journal of Computing and Digital Systems. 14(1). 921–931. 1 indexed citations

Andrist, Ruben S., Martin J. A. Schuetz, Romina Yalovetzky, et al.. (2023). Hardness of the maximum-independent-set problem on unit-disk graphs and prospects for quantum speedups. Physical Review Research. 5(4). 15 indexed citations

Kumar, Niraj, et al.. (2023). Comprehensive analysis of deep learning based text classification models and applications. 20(3). 1–11. 2 indexed citations

Kumar, Niraj, et al.. (2022). On the connection between quantum pseudorandomness and quantum hardware assumptions. Quantum Science and Technology. 7(3). 35004–35004. 3 indexed citations

Coyle, Brian, et al.. (2022). Progress toward practical quantum cryptanalysis by variational quantum cloning. Physical review. A. 105(4). 6 indexed citations

10.

Coyle, Brian, et al.. (2022). Graph neural network initialisation of quantum approximate optimisation. Quantum. 6. 861–861. 30 indexed citations

11.

Kumar, Niraj, et al.. (2021). Experimental demonstration of quantum advantage for NP verification with limited information. Nature Communications. 12(1). 850–850. 12 indexed citations

12.

Kumar, Niraj, Kannan Srinathan, & Vasudeva Varma. (2016). Unsupervised deep semantic and logical analysis for identification of solution posts from community answers. International Journal of Information and Decision Sciences. 8(2). 153–153. 1 indexed citations

13.

Kumar, Niraj & Lipika Dey. (2013). Automatic Quality Assessment of Documents with Application to Essay Grading. 216–222. 4 indexed citations

14.

Kumar, Niraj, et al.. (2013). Comprehensive multimedia encryption system generalization and comparison. 2. 1–5. 1 indexed citations

15.

Kumar, Niraj, Kannan Srinathan, & Vasudeva Varma. (2011). Using Unsupervised System with least linguistic features for TAC-AESOP Task.. Theory and applications of categories. 3 indexed citations

16.

Kumar, Niraj, Kannan Srinathan, & Vasudeva Varma. (2010). Evaluating Information Coverage in Machine Generated Summary and Variable Length Documents.. 163. 1 indexed citations

17.

Kumar, Niraj, et al.. (2010). EXPLOITING N-GRAM IMPORTANCE AND ADDITIONAL KNOWEDGE BASED ON WIKIPEDIA FOR IMPROVEMENTS IN GAAC BASED DOCUMENT CLUSTERING. CogPrints (University of Southampton). 29(1). 3–8. 1 indexed citations

18.

Varma, Vasudeva, et al.. (2010). IIIT Hyderabad in Guided Summarization and Knowledge Base Population.. Theory and applications of categories. 16 indexed citations

19.

Kumar, Niraj, Kannan Srinathan, & Vasudeva Varma. (2010). An Effective Approach for AESOP and Guided Summarization Task.. Theory and applications of categories. 2 indexed citations

20.

Kumar, Niraj & Kannan Srinathan. (2008). Automatic keyphrase extraction from scientific documents using N-gram filtration technique. 199–208. 48 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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