Priya Chandran

555 total citations
44 papers, 398 citations indexed

About

Priya Chandran is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Priya Chandran has authored 44 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Priya Chandran's work include Advanced Data Storage Technologies (13 papers), Caching and Content Delivery (9 papers) and Parallel Computing and Optimization Techniques (7 papers). Priya Chandran is often cited by papers focused on Advanced Data Storage Technologies (13 papers), Caching and Content Delivery (9 papers) and Parallel Computing and Optimization Techniques (7 papers). Priya Chandran collaborates with scholars based in India, United States and Canada. Priya Chandran's co-authors include E S Kamberov, Alexander J. Ninfa, M R Atkinson, S. D. Madhu Kumar, Witoon Tirasophon, Peng Jiang, Peter Zucker, Jian-Hu Feng, Jennie G. Briard and Robert N. Ben and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Reviews Drug Discovery.

In The Last Decade

Priya Chandran

38 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Priya Chandran India 10 149 103 97 65 62 44 398
Joseph Little Canada 12 487 3.3× 119 1.2× 73 0.8× 17 0.3× 5 0.1× 27 691
Sven Jäger Germany 10 291 2.0× 11 0.1× 23 0.2× 16 0.2× 8 0.1× 28 432
Junya Nakamura Japan 9 261 1.8× 87 0.8× 18 0.2× 86 1.3× 6 0.1× 43 544
Heejin Park South Korea 12 181 1.2× 13 0.1× 11 0.1× 25 0.4× 31 0.5× 64 425
Christos Kozanitis Greece 11 185 1.2× 141 1.4× 21 0.2× 45 0.7× 71 1.1× 22 359
Andrew E. Bruno United States 11 260 1.7× 32 0.3× 33 0.3× 27 0.4× 7 0.1× 21 407
Joe Stubbs United States 7 121 0.8× 115 1.1× 16 0.2× 101 1.6× 5 0.1× 31 329
Łukasz Łaciński United States 10 72 0.5× 151 1.5× 16 0.2× 132 2.0× 11 0.2× 18 308
Martin Golebiewski Germany 14 572 3.8× 21 0.2× 36 0.4× 55 0.8× 2 0.0× 35 734

Countries citing papers authored by Priya Chandran

Since Specialization
Citations

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

Fields of papers citing papers by Priya Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Chandran

This figure shows the co-authorship network connecting the top 25 collaborators of Priya Chandran. A scholar is included among the top collaborators of Priya Chandran 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 Priya Chandran. Priya Chandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chandran, Priya, et al.. (2025). Automatic Generation of Simulators for Processors Enhanced for Security in Virtualization. IEEE Access. 13. 11930–11943.
2.
Chandran, Priya. (2024). Machine Learning Based Developmental Capability Prediction: A Diagnosis to the Learning Capacity Disorder for Specially-Abled Children. International Journal of Information and Education Technology. 14(2). 240–247. 1 indexed citations
3.
Chandran, Priya, et al.. (2023). On the Measurement of Performance Metrics for Virtualization-Enhanced Architectures. 49–56. 2 indexed citations
4.
Chandran, Priya, et al.. (2022). Prevalence of anaemia and associated factors among antenatal women in rural Kozhikode, Kerala. SHILAP Revista de lepidopterología. 11(5). 1851–1857. 5 indexed citations
5.
Chandran, Priya, et al.. (2022). Analysis of Subword based Word Representations Case Study: Fasttext Malayalam. 2022 IEEE 19th India Council International Conference (INDICON). 2. 1–6. 1 indexed citations
6.
Chandran, Priya, et al.. (2021). GLDraw: A Platform for Graph Visualization. 36. 1–6.
7.
8.
Chandran, Priya, et al.. (2020). On Finding the Best Learning Model for Assessing Confidence in Speech. 58–64. 2 indexed citations
9.
Chandran, Priya, et al.. (2019). Heart Disease Prediction using Classification Techniques: A Comparative Study. International Journal of Management, IT, and Engineering. 9(7). 77–89.
10.
Sharma, Vijay Prakash, et al.. (2019). Modelling multi level consistency in erasure code based storage systems. 122–129.
11.
Chandran, Priya, et al.. (2018). Inferring disease causing genes and their pathways: GpRr method. Journal of Computational Science. 26. 108–117. 1 indexed citations
12.
13.
Chandran, Priya, et al.. (2018). A Statistical Approach to Adaptive Playout Scheduling in Voice Over Internet Protocol Communication. International Journal of Electrical and Computer Engineering (IJECE). 8(5). 2926–2926. 2 indexed citations
14.
15.
Briard, Jennie G., et al.. (2016). Small-Molecule Ice Recrystallization Inhibitors Improve the Post-Thaw Function of Hematopoietic Stem and Progenitor Cells. ACS Omega. 1(5). 1010–1018. 34 indexed citations
16.
Chandran, Priya, et al.. (2016). Curtailing job completion time in MapReduce clouds through improved Virtual Machine allocation. Computers & Electrical Engineering. 58. 190–202. 6 indexed citations
17.
Kumar, S. D. Madhu, et al.. (2016). Erasure coded storage systems for cloud storage — challenges and opportunities. 41. 1–7. 11 indexed citations
18.
Kumar, S. D. Madhu, et al.. (2015). Load-aware replica placement in multiuser Hadoop environment using MST. 376–381. 2 indexed citations
19.
Chandran, Priya, et al.. (2015). Performance evaluation of voice transmission in Wi-Fi networks using R-factor. 5. 481–484. 2 indexed citations
20.
Chandran, Priya, et al.. (2012). Authenticated and persistent skip graph. 155–160. 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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