Jin‐Oh Hahn

5.1k total citations · 1 hit paper
193 papers, 3.6k citations indexed

About

Jin‐Oh Hahn is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Biomedical Engineering. According to data from OpenAlex, Jin‐Oh Hahn has authored 193 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Cardiology and Cardiovascular Medicine, 93 papers in Surgery and 78 papers in Biomedical Engineering. Recurrent topics in Jin‐Oh Hahn's work include Hemodynamic Monitoring and Therapy (83 papers), Non-Invasive Vital Sign Monitoring (70 papers) and Heart Rate Variability and Autonomic Control (62 papers). Jin‐Oh Hahn is often cited by papers focused on Hemodynamic Monitoring and Therapy (83 papers), Non-Invasive Vital Sign Monitoring (70 papers) and Heart Rate Variability and Autonomic Control (62 papers). Jin‐Oh Hahn collaborates with scholars based in United States, South Korea and Canada. Jin‐Oh Hahn's co-authors include Ramakrishna Mukkamala, Chang‐Sei Kim, Omer T. Inan, Lalit K. Mestha, Survi Kyal, Hakan Töreyin, Rajesh Rajamani, Keerthana Natarajan, J. Mark Ansermino and Guy A. Dumont and has published in prestigious journals such as Journal of Neurophysiology, Scientific Reports and Small.

In The Last Decade

Jin‐Oh Hahn

174 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice

2015 642 citations Ramakrishna Mukkamala, Jin‐Oh Hahn et al. IEEE Transactions on Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin‐Oh Hahn United States	30	2.2k	2.1k	1.7k	414	326	193	3.6k
Dhanjoo N. Ghista Singapore	39	2.2k 1.0×	1.1k 0.5×	1.4k 0.8×	40 0.1×	140 0.4×	211	4.4k
George Andrikopoulos Greece	30	2.1k 0.9×	791 0.4×	331 0.2×	20 0.0×	255 0.8×	165	3.6k
J.R. Boston United States	27	435 0.2×	779 0.4×	541 0.3×	46 0.1×	40 0.1×	150	2.3k
Lucia Mirabella Italy	24	776 0.4×	211 0.1×	415 0.2×	33 0.1×	60 0.2×	76	2.5k
Diego Liberati Italy	17	685 0.3×	433 0.2×	146 0.1×	28 0.1×	46 0.1×	57	2.2k
Ronald M. Aarts Netherlands	33	1.0k 0.5×	1.6k 0.7×	388 0.2×	35 0.1×	63 0.2×	185	3.8k
Kenneth J. Hunt Switzerland	30	364 0.2×	1.6k 0.8×	141 0.1×	107 0.3×	151 0.5×	191	3.5k
Hendrik Schmidt Germany	43	163 0.1×	2.1k 1.0×	3.1k 1.8×	38 0.1×	98 0.3×	183	5.9k
Caroline G. L. Cao United States	25	298 0.1×	630 0.3×	1.1k 0.7×	37 0.1×	122 0.4×	114	1.8k
Rezaul Begg Australia	36	110 0.0×	2.7k 1.3×	261 0.2×	29 0.1×	54 0.2×	168	4.7k

Countries citing papers authored by Jin‐Oh Hahn

Since Specialization

Citations

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

Fields of papers citing papers by Jin‐Oh Hahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Oh Hahn. 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 Jin‐Oh Hahn. The network helps show where Jin‐Oh Hahn may publish in the future.

Co-authorship network of co-authors of Jin‐Oh Hahn

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Oh Hahn. A scholar is included among the top collaborators of Jin‐Oh Hahn 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 Jin‐Oh Hahn. Jin‐Oh Hahn 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

Sampson, Catherine, Syed Ahmar Shah, Michael P. Kinsky, et al.. (2025). Comparative Assessment of In Vivo and In Silico Evaluation of Automated Fluid Resuscitation Controllers. Annals of Biomedical Engineering. 54(3). 857–868.

Kramer, George C., et al.. (2024). A mathematical model for simulation of cardiovascular, renal, and hormonal responses to burn injury and resuscitation. Frontiers in Physiology. 15. 1467351–1467351. 1 indexed citations

Sel, Kaan, Laura J. Brattain, Jin‐Oh Hahn, et al.. (2024). Building Digital Twins for Cardiovascular Health: From Principles to Clinical Impact. Journal of the American Heart Association. 13(19). e031981–e031981. 30 indexed citations

Mousavi, Azin, et al.. (2024). Inference-enabled tracking of acute mental stress via multi-modal wearable physiological sensing: A proof-of-concept study. Journal of Applied Biomedicine. 44(4). 771–781. 4 indexed citations

Jin, Xin, et al.. (2024). Detection of Internal Hemorrhage via Sequential Inference: An In Silico Feasibility Study. Diagnostics. 14(17). 1970–1970. 1 indexed citations

Sampson, Catherine, Michael P. Kinsky, George C. Kramer, et al.. (2024). A Lumped-Parameter Model of the Cardiovascular System Response for Evaluating Automated Fluid Resuscitation Systems. IEEE Access. 12. 62511–62525. 3 indexed citations

Li, Tianyi, et al.. (2024). Nanocomposite Multimodal Sensor Array Integrated with Auxetic Structure for an Intelligent Biometrics System. Small. 20(48). e2405224–e2405224. 7 indexed citations

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

Narayanan, Deepa, Shih‐Hsien Sung, Hao‐Min Cheng, et al.. (2024). Transmission line model as a digital twin for abdominal aortic aneurysm patients. npj Digital Medicine. 7(1). 301–301. 3 indexed citations

10.

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

11.

Shin, Sungtae, et al.. (2023). BCG Signal Quality Assessment Based on Time-Series Imaging Methods. Sensors. 23(23). 9382–9382. 3 indexed citations

12.

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

13.

Hahn, Jin‐Oh, et al.. (2023). A Population-Informed Particle Filter for Robust Physiological Monitoring Using Low-Information Time-Series Measurements. IEEE Transactions on Biomedical Engineering. 70(8). 2298–2309. 5 indexed citations

14.

Sampson, Catherine, John R. Salsbury, Ramin Bighamian, et al.. (2022). A Mathematical Model for Simulation of Vasoplegic Shock and Vasopressor Therapy. IEEE Transactions on Biomedical Engineering. 70(5). 1565–1574. 7 indexed citations

15.

Mousavi, Azin, et al.. (2022). Classification of Blood Volume Decompensation State via Machine Learning Analysis of Multi-Modal Wearable-Compatible Physiological Signals. Sensors. 22(4). 1336–1336. 5 indexed citations

16.

Kramer, George C., et al.. (2021). Mathematical Modeling, In-Human Evaluation and Analysis of Volume Kinetics and Kidney Function After Burn Injury and Resuscitation. IEEE Transactions on Biomedical Engineering. 69(1). 366–376. 6 indexed citations

17.

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

18.

Hahn, Jin‐Oh, et al.. (2020). Enabling the assessment of trauma-induced hemorrhage via smart wearable systems. Science Advances. 6(30). eabb1708–eabb1708. 37 indexed citations

19.

Mirinejad, Hossein, et al.. (2019). Evaluation of Fluid Resuscitation Control Algorithms via a Hardware-in-the-Loop Test Bed. IEEE Transactions on Biomedical Engineering. 67(2). 471–481. 22 indexed citations

20.

Yao, Yang, Md Mobashir Hasan Shandhi, Hazar Ashouri, et al.. (2019). Mitigation of Instrument-Dependent Variability in Ballistocardiogram Morphology: Case Study on Force Plate and Customized Weighing Scale. IEEE Journal of Biomedical and Health Informatics. 24(1). 69–78. 15 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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