Omer T. Inan

9.7k total citations · 2 hit papers
296 papers, 7.0k citations indexed

About

Omer T. Inan is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Omer T. Inan has authored 296 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 197 papers in Biomedical Engineering, 158 papers in Cardiology and Cardiovascular Medicine and 100 papers in Surgery. Recurrent topics in Omer T. Inan's work include Non-Invasive Vital Sign Monitoring (155 papers), Heart Rate Variability and Autonomic Control (104 papers) and Hemodynamic Monitoring and Therapy (78 papers). Omer T. Inan is often cited by papers focused on Non-Invasive Vital Sign Monitoring (155 papers), Heart Rate Variability and Autonomic Control (104 papers) and Hemodynamic Monitoring and Therapy (78 papers). Omer T. Inan collaborates with scholars based in United States, China and Japan. Omer T. Inan's co-authors include Mozziyar Etemadi, G.T.A. Kovacs, Laurent Giovangrandi, Jin‐Oh Hahn, Ramakrishna Mukkamala, Chang‐Sei Kim, Hakan Töreyin, Andrew M. Carek, Sinan Hersek and Lalit K. Mestha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Omer T. Inan

275 papers receiving 6.9k citations

Hit Papers

Toward Ubiquitous Blood P... 2014 2026 2018 2022 2015 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omer T. Inan United States 40 4.9k 4.0k 2.2k 801 740 296 7.0k
T. Tamura Japan 45 3.0k 0.6× 1.9k 0.5× 1.1k 0.5× 686 0.9× 288 0.4× 362 7.5k
Ki H. Chon United States 47 3.8k 0.8× 4.9k 1.2× 1.0k 0.5× 1.9k 2.3× 524 0.7× 306 8.5k
A. Pedotti Italy 54 3.3k 0.7× 2.9k 0.7× 1.4k 0.6× 1.5k 1.9× 2.8k 3.7× 229 10.5k
Luca Mainardi Italy 38 1.6k 0.3× 2.6k 0.7× 674 0.3× 1.0k 1.3× 395 0.5× 321 5.2k
Pasi A. Karjalainen Finland 34 2.0k 0.4× 2.9k 0.7× 639 0.3× 1.5k 1.9× 184 0.2× 166 7.2k
Marco Di Rienzo Italy 49 3.5k 0.7× 8.4k 2.1× 2.5k 1.1× 810 1.0× 674 0.9× 226 10.7k
Steffen Leonhardt Germany 46 5.7k 1.2× 2.4k 0.6× 2.4k 1.1× 822 1.0× 1.7k 2.3× 579 9.9k
L. A. Geddes United States 45 3.1k 0.6× 3.0k 0.7× 3.2k 1.4× 929 1.2× 545 0.7× 338 9.4k
Mohamed Elgendi Canada 35 3.5k 0.7× 3.5k 0.9× 1.5k 0.7× 954 1.2× 299 0.4× 133 5.0k
Pablo Laguna Spain 47 4.7k 1.0× 8.6k 2.1× 872 0.4× 2.9k 3.6× 795 1.1× 405 10.4k

Countries citing papers authored by Omer T. Inan

Since Specialization
Citations

This map shows the geographic impact of Omer T. Inan'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 Omer T. Inan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omer T. Inan more than expected).

Fields of papers citing papers by Omer T. Inan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omer T. Inan. 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 Omer T. Inan. The network helps show where Omer T. Inan may publish in the future.

Co-authorship network of co-authors of Omer T. Inan

This figure shows the co-authorship network connecting the top 25 collaborators of Omer T. Inan. A scholar is included among the top collaborators of Omer T. Inan 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 Omer T. Inan. Omer T. Inan 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
2.
Gazi, Asim H., Michael Chan, J. Douglas Bremner, et al.. (2025). Quantifying the Cardiovascular Response to Mental Stress Using a Compact Multimodal Wearable Sensing Patch. 7(1). 1–17.
3.
Maher, Kevin, et al.. (2024). Application of Acoustic Sensing in Systemic to Pulmonary Shunts in Ductal Dependent Infants Using Deep Learning. IEEE Sensors Journal. 24(8). 12819–12829. 1 indexed citations
4.
Gazi, Asim H., Erick Andres Perez Alday, Nicholas L. Smith, et al.. (2024). Quantifying Posttraumatic Stress Disorder Symptoms During Traumatic Memories Using Interpretable Markers of Respiratory Variability. IEEE Journal of Biomedical and Health Informatics. 28(8). 4912–4924. 1 indexed citations
5.
Gazi, Asim H., et al.. (2024). A Synthetic Multi-Modal Variable to Capture Cardiovascular Responses to Acute Mental Stress and Transcutaneous Median Nerve Stimulation. IEEE Transactions on Biomedical Engineering. 72(1). 346–357. 2 indexed citations
6.
Chan, Michael, et al.. (2024). A Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity. IEEE Journal of Biomedical and Health Informatics. 28(7). 3942–3952. 5 indexed citations
7.
Yao, Yang, Md Mobashir Hasan Shandhi, Jin‐Oh Hahn, et al.. (2023). What filter passband should be applied to the ballistocardiogram?. Biomedical Signal Processing and Control. 85. 104909–104909. 4 indexed citations
8.
Chan, Michael, et al.. (2023). Respiratory Rate Estimation During Walking Using a Wearable Patch With Modality Attentive Fusion. IEEE Sensors Journal. 23(23). 29831–29843. 5 indexed citations
9.
Nichols, Christopher J., et al.. (2023). Validating Adhesive-Free Bioimpedance of the Leg in Mid-Activity and Uncontrolled Settings. IEEE Transactions on Biomedical Engineering. 70(9). 2679–2689. 3 indexed citations
10.
Mousavi, Azin, et al.. (2023). A proof-of-concept investigation of multi-modal physiological signal responses to acute mental stress. Biomedical Signal Processing and Control. 85. 105001–105001. 16 indexed citations
12.
An, Sungtae, et al.. (2021). Unifying the Estimation of Blood Volume Decompensation Status in a Porcine Model of Relative and Absolute Hypovolemia Via Wearable Sensing. IEEE Journal of Biomedical and Health Informatics. 25(9). 3351–3360. 15 indexed citations
13.
Inan, Omer T., Pamela Tenaerts, Sheila A. Prindiville, et al.. (2020). Digitizing clinical trials. npj Digital Medicine. 3(1). 101–101. 199 indexed citations
14.
Shandhi, Md Mobashir Hasan, J. Alex Heller, Mozziyar Etemadi, et al.. (2020). Estimation of Instantaneous Oxygen Uptake During Exercise and Daily Activities Using a Wearable Cardio-Electromechanical and Environmental Sensor. IEEE Journal of Biomedical and Health Informatics. 25(3). 634–646. 30 indexed citations
15.
Hersek, Sinan, et al.. (2020). Modeling Consistent Dynamics of Cardiogenic Vibrations in Low-Dimensional Subspace. IEEE Journal of Biomedical and Health Informatics. 24(7). 1887–1898. 7 indexed citations
16.
Hersek, Sinan, et al.. (2019). A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning. IEEE Journal of Biomedical and Health Informatics. 24(5). 1296–1309. 24 indexed citations
17.
Shandhi, Md Mobashir Hasan, et al.. (2019). Performance Analysis of Gyroscope and Accelerometer Sensors for Seismocardiography-Based Wearable Pre-Ejection Period Estimation. IEEE Journal of Biomedical and Health Informatics. 23(6). 2365–2374. 58 indexed citations
18.
Hersek, Sinan, et al.. (2019). Robust Longitudinal Ankle Edema Assessment Using Wearable Bioimpedance Spectroscopy. IEEE Transactions on Biomedical Engineering. 67(4). 1019–1029. 42 indexed citations
19.
Etemadi, Mozziyar & Omer T. Inan. (2017). Wearable ballistocardiogram and seismocardiogram systems for health and performance. Journal of Applied Physiology. 124(2). 452–461. 61 indexed citations
20.
Inan, Omer T., et al.. (2011). Multi-signal electromechanical cardiovascular monitoring on a modified home bathroom scale. PubMed. 121. 2472–2475. 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.

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