Siddharth Arora

1.9k total citations
53 papers, 1.3k citations indexed

About

Siddharth Arora is a scholar working on Physiology, Neurology and Signal Processing. According to data from OpenAlex, Siddharth Arora has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 8 papers in Neurology and 6 papers in Signal Processing. Recurrent topics in Siddharth Arora's work include Voice and Speech Disorders (13 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Energy Load and Power Forecasting (5 papers). Siddharth Arora is often cited by papers focused on Voice and Speech Disorders (13 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Energy Load and Power Forecasting (5 papers). Siddharth Arora collaborates with scholars based in United Kingdom, India and United States. Siddharth Arora's co-authors include James W. Taylor, Max A. Little, Kevin Biglan, Sean Donohue, E. Ray Dorsey, Vinayak Venkataraman, Andong Zhan, Georgios Giasemidis, Stephen Haben and Athanasios Tsanas and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Siddharth Arora

48 papers receiving 1.2k citations

Peers

Siddharth Arora

NEURO

EEE

PHYSI

Matteo Bertini Italy

Akira Takeuchi Japan

Imtiaz Ahmed United States

Michael Münz Germany

Sidong Liu Australia

K. Papageorgiou Greece

Chao Guo China

Chih‐Chung Chen Taiwan

Hak‐Jin Kim South Korea

Gregory Harris United States

Matteo Bertini Italy

Siddharth Arora

267 ×0.8

NEURO

80 ×0.2

EEE

128 ×0.6

PHYSI

185 ×1.3

61 ×0.4

Citations per year, relative to Siddharth Arora Siddharth Arora (= 1×) peers Matteo Bertini

Countries citing papers authored by Siddharth Arora

Since Specialization

Citations

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

Fields of papers citing papers by Siddharth Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddharth Arora

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Arora, Siddharth & James W. Taylor. (2025). Using teletriage to model the risk of hospital admission at the time of registration in an emergency department. Omega. 138. 103381–103381.

Arora, Siddharth, James W. Taylor, & Ho‐Yin Mak. (2023). Probabilistic Forecasting of Patient Waiting Times in an Emergency Department. Manufacturing & Service Operations Management. 25(4). 1489–1508. 12 indexed citations

Rostami-Tabar, Bahman, et al.. (2023). Probabilistic forecasting of daily COVID-19 admissions using machine learning. IMA Journal of Management Mathematics. 35(1). 21–43. 1 indexed citations

Kapoor, Rajiv, et al.. (2022). Automated Major Depressive Disorder (AMDD) Detection using Audio-Visual Feature Discriptor and CNN. 1456–1459.

Probert, Fay, Tianrong Yeo, Yifan Zhou, et al.. (2021). Integrative biochemical, proteomics and metabolomics cerebrospinal fluid biomarkers predict clinical conversion to multiple sclerosis. Brain Communications. 3(2). fcab084–fcab084. 15 indexed citations

Haben, Stephen, et al.. (2021). Review of Low Voltage Load Forecasting: Methods, Applications, and Recommendations. arXiv (Cornell University). 99 indexed citations

Tsanas, Athanasios & Siddharth Arora. (2020). Large-scale Clustering of People Diagnosed with Parkinson’s Disease using Acoustic Analysis of Sustained Vowels: Findings in the Parkinson’s Voice Initiative Study. 369–376. 1 indexed citations

Aggarwal, S. P., Praveen K. Thakur, Bhaskar R. Nikam, et al.. (2020). ROLE OF EARTH OBSERVATION DATA AND HYDROLOGICAL MODELING IN SUPPORTING UN SDGs IN NORTH WEST HIMALAYA. SHILAP Revista de lepidopterología. XLIII-B3-2020. 853–860. 2 indexed citations

Arora, Siddharth, et al.. (2018). Anonymity and Anonymous Connections Using TOR. SSRN Electronic Journal. 3 indexed citations

10.

Prince, John, Siddharth Arora, & Maarten De Vos. (2018). Big data in Parkinson’s disease: using smartphones to remotely detect longitudinal disease phenotypes. Physiological Measurement. 39(4). 44005–44005. 44 indexed citations

11.

Barbour, Sally, Teresa Smit, Daniel Powers, et al.. (2017). Integrated safety analysis of rolapitant with coadministered drugs from phase II/III trials: an assessment of CYP2D6 or BCRP inhibition by rolapitant. Annals of Oncology. 28(6). 1268–1273. 7 indexed citations

12.

Juryńczyk, Maciej, Fay Probert, Tianrong Yeo, et al.. (2017). Metabolomics reveals distinct, antibody-independent, molecular signatures of MS, AQP4-antibody and MOG-antibody disease. Acta Neuropathologica Communications. 5(1). 95–95. 43 indexed citations

13.

Navari, Rudolph M., Karin Jordan, Bernardo L. Rapoport, et al.. (2016). Efficacy of rolapitant for prevention of chemotherapy-induced nausea and vomiting (CINV) in patients with gastrointestinal and colorectal cancers. Annals of Oncology. 27. vi499–vi499. 3 indexed citations

14.

Aapro, Matti, Siddharth Arora, & Daniel Powers. (2016). Efficacy and safety of rolapitant in the prevention of chemotherapy-induced nausea and vomiting (CINV) in elderly patients. Annals of Oncology. 27. vi499–vi499. 2 indexed citations

15.

Sivaraman, Bhalamurugan, V. Venkataraman, Anusha Kalyaan, Siddharth Arora, & S. Ganesh. (2015). Exposed amorphous water ice on comet 49P/Arend-Rigaux. Advances in Space Research. 56(11). 2428–2431. 5 indexed citations

16.

Arora, Siddharth, Vinayak Venkataraman, Sean Donohue, et al.. (2014). High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones. 3641–3644. 50 indexed citations

17.

Vasistha, Navneet A., Fernando García‐Moreno, Siddharth Arora, et al.. (2014). Cortical and Clonal Contribution of Tbr2 Expressing Progenitors in the Developing Mouse Brain. Cerebral Cortex. 25(10). 3290–3302. 127 indexed citations

18.

Arora, Siddharth, Satya Prathyusha Bhamidimarri, Moitrayee Bhattacharyya, et al.. (2013). Distinctive contributions of the ribosomal P-site elements m2G966, m5C967 and the C-terminal tail of the S9 protein in the fidelity of initiation of translation in Escherichia coli. Nucleic Acids Research. 41(9). 4963–4975. 26 indexed citations

19.

Arora, Siddharth, et al.. (2008). Characterizing breast cancer tissues through the spectral correlation properties of polarized fluorescence. Journal of Biomedical Optics. 13(5). 54063–54063. 13 indexed citations

20.

Santhanam, M. S. & Siddharth Arora. (2007). Zero delay synchronization of chaos in coupled map lattices. Physical Review E. 76(2). 26202–26202. 4 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.

Explore authors with similar magnitude of impact