Srijan Sengupta

645 total citations
33 papers, 361 citations indexed

About

Srijan Sengupta is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Srijan Sengupta has authored 33 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 10 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Srijan Sengupta's work include Complex Network Analysis Techniques (16 papers), Network Security and Intrusion Detection (5 papers) and Opinion Dynamics and Social Influence (4 papers). Srijan Sengupta is often cited by papers focused on Complex Network Analysis Techniques (16 papers), Network Security and Intrusion Detection (5 papers) and Opinion Dynamics and Social Influence (4 papers). Srijan Sengupta collaborates with scholars based in United States, Canada and Australia. Srijan Sengupta's co-authors include David L. Popham, Peter Setlow, Yuguo Chen, Xiaofeng Shao, William H. Woodall, Stanislav Volgushev, Mengmeng Li, M.D. Hanigan, Meng Zhao and Nathaniel T. Stevens and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Srijan Sengupta

32 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Srijan Sengupta United States	9	104	86	74	42	38	33	361
Ankit Garg India	10	11 0.1×	70 0.8×	172 2.3×	14 0.3×	31 0.8×	56	495
Julien Chiquet France	14	27 0.3×	106 1.2×	144 1.9×	49 1.2×	88 2.3×	36	502
Bill Andreopoulos United States	12	29 0.3×	98 1.1×	348 4.7×	26 0.6×	3 0.1×	20	596
Jia Lv China	13	14 0.1×	100 1.2×	176 2.4×	29 0.7×	2 0.1×	55	502
Isobel Claire Gormley Ireland	17	30 0.3×	222 2.6×	153 2.1×	92 2.2×	116 3.1×	44	744
Swati Tyagi India	14	89 0.9×	92 1.1×	13 0.2×	111 2.6×	5 0.1×	34	650
Tobias Petri Germany	7	132 1.3×	288 3.3×	245 3.3×	47 1.1×	1 0.0×	11	646

Countries citing papers authored by Srijan Sengupta

Since Specialization

Citations

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

Fields of papers citing papers by Srijan Sengupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srijan Sengupta

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

Sengupta, Srijan, et al.. (2025). Testing for the network small-world property. Electronic Journal of Statistics. 19(1).

Sengupta, Srijan, et al.. (2024). A generalized hypothesis test for community structure in networks. Network Science. 12(2). 122–138. 4 indexed citations

Chakraborty, Kaustav, Srijan Sengupta, & Yuguo Chen. (2024). Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling. Journal of Computational and Graphical Statistics. 34(3). 1127–1139. 2 indexed citations

Tabaie, Azade, et al.. (2023). A natural language processing approach to categorise contributing factors from patient safety event reports. BMJ Health & Care Informatics. 30(1). e100731–e100731. 5 indexed citations

Mun, Seong K., et al.. (2023). Automated Error Labeling in Radiation Oncology via Statistical Natural Language Processing. Diagnostics. 13(7). 1215–1215. 2 indexed citations

Larsen, Nicholas, et al.. (2023). Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology. The American Statistician. 78(2). 135–149. 13 indexed citations

Chakrabarty, Sayan, Srijan Sengupta, & Yuguo Chen. (2023). Subsampling Based Community Detection for Large Networks. Statistica Sinica. 1 indexed citations

Guo, Zhen, et al.. (2022). SAFER: Social Capital-Based Friend Recommendation to Defend against Phishing Attacks. Proceedings of the International AAAI Conference on Web and Social Media. 16. 241–252. 2 indexed citations

Larsen, Nicholas, et al.. (2022). Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology. arXiv (Cornell University). 3 indexed citations

10.

Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). Broader impacts of network monitoring: Its role in government, industry, technology, and beyond. Quality Engineering. 33(4). 749–757. 2 indexed citations

11.

Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). Research in network monitoring: Connections with SPM and new directions. Quality Engineering. 33(4). 736–748. 6 indexed citations

12.

Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). Foundations of network monitoring: Definitions and applications. Quality Engineering. 33(4). 719–730. 3 indexed citations

13.

Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). The interdisciplinary nature of network monitoring: Advantages and disadvantages. Quality Engineering. 33(4). 731–735. 1 indexed citations

14.

Guo, Zhen, et al.. (2020). Online Social Deception and Its Countermeasures: A Survey. IEEE Access. 9. 1770–1806. 21 indexed citations

15.

Li, Mengmeng, Srijan Sengupta, & M.D. Hanigan. (2019). Using artificial neural networks to predict pH, ammonia, and volatile fatty acid concentrations in the rumen. Journal of Dairy Science. 102(10). 8850–8861. 21 indexed citations

16.

Alexander, Kathleen A., et al.. (2019). Toward epidemic thresholds on temporal networks: a review and open questions. Applied Network Science. 4(1). 4 indexed citations

17.

Zhao, Meng, et al.. (2018). The effect of temporal aggregation level in social network monitoring. PLoS ONE. 13(12). e0209075–e0209075. 15 indexed citations

18.

Sengupta, Srijan & Yuguo Chen. (2017). A Block Model for Node Popularity in Networks with Community Structure. Journal of the Royal Statistical Society Series B (Statistical Methodology). 80(2). 365–386. 32 indexed citations

19.

Sengupta, Srijan, Stanislav Volgushev, & Xiaofeng Shao. (2015). A Subsampled Double Bootstrap for Massive Data. Journal of the American Statistical Association. 111(515). 1222–1232. 26 indexed citations

20.

Sengupta, Srijan, et al.. (2011). Unique phenotypes of typical and inverted Takotsubo cardiomyopathy in young females.. PubMed. 62(4). 348–50. 6 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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