Arvind Rajan

542 total citations
29 papers, 418 citations indexed

About

Arvind Rajan is a scholar working on Statistics, Probability and Uncertainty, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Arvind Rajan has authored 29 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics, Probability and Uncertainty, 8 papers in Computer Networks and Communications and 8 papers in Biomedical Engineering. Recurrent topics in Arvind Rajan's work include Probabilistic and Robust Engineering Design (11 papers), Scientific Measurement and Uncertainty Evaluation (11 papers) and Advanced Sensor Technologies Research (8 papers). Arvind Rajan is often cited by papers focused on Probabilistic and Robust Engineering Design (11 papers), Scientific Measurement and Uncertainty Evaluation (11 papers) and Advanced Sensor Technologies Research (8 papers). Arvind Rajan collaborates with scholars based in Malaysia, New Zealand and Australia. Arvind Rajan's co-authors include Rakesh Rakesh, Richard Steinberg, Ye Chow Kuang, Melanie Po‐Leen Ooi, Serge Demidenko, Akhil Garg, V. Vijayaraghavan, John G. Klincewicz, Sarbajit Paul and Junghwan Chang and has published in prestigious journals such as Management Science, IEEE Access and Energy and Buildings.

In The Last Decade

Arvind Rajan

29 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arvind Rajan Malaysia 11 156 98 89 85 78 29 418
Rómulo I. Zequeira France 13 139 0.9× 173 1.8× 20 0.2× 101 1.2× 23 0.3× 20 614
Hongguang Ma China 12 43 0.3× 31 0.3× 20 0.2× 83 1.0× 50 0.6× 34 382
John A. Horst United States 13 126 0.8× 32 0.3× 13 0.1× 68 0.8× 6 0.1× 43 480
Arash Zaretalab Iran 10 86 0.6× 96 1.0× 3 0.0× 94 1.1× 44 0.6× 31 451
Fa Wang United States 13 20 0.1× 35 0.4× 21 0.2× 22 0.3× 229 2.9× 39 414
Madhab Chandra Mandal India 12 57 0.4× 6 0.1× 61 0.7× 154 1.8× 53 0.7× 21 427
Jezdimir Knežević United Kingdom 13 55 0.4× 149 1.5× 4 0.0× 44 0.5× 20 0.3× 41 537
Pulak Bandyopadhyay United States 10 47 0.3× 21 0.2× 10 0.1× 28 0.3× 41 0.5× 16 344
Husam Kaid Saudi Arabia 14 117 0.8× 21 0.2× 5 0.1× 57 0.7× 31 0.4× 43 502
Khaled Hadj-Hamou France 11 79 0.5× 10 0.1× 14 0.2× 93 1.1× 14 0.2× 25 535

Countries citing papers authored by Arvind Rajan

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Rajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Rajan

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Rajan. A scholar is included among the top collaborators of Arvind Rajan 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 Arvind Rajan. Arvind Rajan 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.
Soroka, Orysya, Joanna Bryan Ringel, Andrea Cherrington, et al.. (2025). Patient Perceptions of Provider Race Concordance and Quality of Chronic Illness Care. Journal of General Internal Medicine. 40(10). 2218–2225. 1 indexed citations
2.
Aerts, Hugo J.W.L., Brian Anthony, Danielle S. Bitterman, et al.. (2024). Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias. PubMed. 37(D-ampB). 23756–23795. 1 indexed citations
3.
Rajan, Arvind, et al.. (2020). Reliability-based design optimisation of structural systems using high-order analytical moments. Structural Safety. 86. 101970–101970. 10 indexed citations
4.
Paul, Sarbajit, Junghwan Chang, Arvind Rajan, & Subhas Chandra Mukhopadhyay. (2019). Design of Linear Magnetic Position Sensor Used in Permanent Magnet Linear Machine With Consideration of Manufacturing Tolerances. IEEE Sensors Journal. 19(13). 5239–5248. 12 indexed citations
5.
6.
Rajan, Arvind, et al.. (2018). Moment-Constrained Maximum Entropy Method for Expanded Uncertainty Evaluation. IEEE Access. 6. 4072–4082. 31 indexed citations
7.
Rajan, Arvind, Ye Chow Kuang, Melanie Po‐Leen Ooi, Serge Demidenko, & Temitope Egbelakin. (2018). Application of moment-based measurement uncertainty evaluation to reliability analysis of structural systems. 58. 1–6. 1 indexed citations
8.
Kuang, Ye Chow, Arvind Rajan, Melanie Po‐Leen Ooi, & Serge Demidenko. (2017). Measured Quantity Value Estimator for Multiplicative Nonlinear Measurement Models. IEEE Transactions on Instrumentation and Measurement. 66(4). 715–722. 1 indexed citations
9.
Xia, Xiaohua, et al.. (2017). Efficient longitudinal population survival survey sampling for the measurement and verification of lighting retrofit projects. Energy and Buildings. 150. 163–176. 4 indexed citations
10.
Paul, Sarbajit, Arvind Rajan, Junghwan Chang, Ye Chow Kuang, & Melanie Po‐Leen Ooi. (2017). Parametric Design Analysis of Magnetic Sensor Based on Model Order Reduction and Reliability-Based Design Optimization. IEEE Transactions on Magnetics. 54(3). 1–4. 9 indexed citations
11.
Rajan, Arvind, V. Vijayaraghavan, Melanie Po‐Leen Ooi, Akhil Garg, & Ye Chow Kuang. (2017). A simulation-based probabilistic framework for lithium-ion battery modelling. Measurement. 115. 87–94. 20 indexed citations
12.
Rajan, Arvind, Melanie Po‐Leen Ooi, Ye Chow Kuang, & Serge Demidenko. (2017). Reliability‐based design optimisation of technical systems: analytical response surface moments method. The Journal of Engineering. 2017(3). 36–46. 13 indexed citations
13.
Rajan, Arvind, Akhil Garg, V. Vijayaraghavan, Ye Chow Kuang, & Melanie Po‐Leen Ooi. (2017). Parameter optimization of polymer electrolyte membrane fuel cell using moment-based uncertainty evaluation technique. Journal of Energy Storage. 15. 8–16. 15 indexed citations
14.
Rajan, Arvind, Ye Chow Kuang, Melanie Po‐Leen Ooi, & Serge Demidenko. (2016). Moment-based measurement uncertainty evaluation for reliability analysis in design optimization. 705. 1–6. 1 indexed citations
15.
Rajan, Arvind, Melanie Po‐Leen Ooi, Ye Chow Kuang, & Serge Demidenko. (2016). Efficient analytical moments for the robustness analysis in design optimisation. The Journal of Engineering. 2016(11). 423–430. 7 indexed citations
16.
Kuang, Ye Chow, et al.. (2014). Standard uncertainty evaluation of multivariate polynomial. Measurement. 58. 483–494. 27 indexed citations
17.
Kuang, Ye Chow, Melanie Po‐Leen Ooi, & Arvind Rajan. (2013). Analytic standard uncertainty evaluation of polynomial in normal/uniform random variables. 1–5. 3 indexed citations
18.
Klincewicz, John G. & Arvind Rajan. (1994). Using grasp to solve the component grouping problem. Naval Research Logistics (NRL). 41(7). 893–912. 11 indexed citations
19.
Rajan, Arvind, Rakesh Rakesh, & Richard Steinberg. (1992). Dynamic Pricing and Ordering Decisions by a Monopolist. Management Science. 38(2). 240–262. 168 indexed citations
20.
Rajan, Arvind. (1987). Algorithmic applications of connectivity and related topics in matroid theory. 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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