Jay Karhade

701 total citations · 1 hit paper
6 papers, 331 citations indexed

About

Jay Karhade is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Aerospace Engineering. According to data from OpenAlex, Jay Karhade has authored 6 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Aerospace Engineering. Recurrent topics in Jay Karhade's work include Phonocardiography and Auscultation Techniques (3 papers), ECG Monitoring and Analysis (2 papers) and Robotics and Sensor-Based Localization (2 papers). Jay Karhade is often cited by papers focused on Phonocardiography and Auscultation Techniques (3 papers), ECG Monitoring and Analysis (2 papers) and Robotics and Sensor-Based Localization (2 papers). Jay Karhade collaborates with scholars based in India, Australia and Singapore. Jay Karhade's co-authors include Nikhil Keetha, Krishna Murthy Jatavallabhula, Sebastian Scherer, Rajesh Kumar Tripathy, Samit Kumar Ghosh, Jonathon Luiten, Deva Ramanan, U. Rajendra Acharya, K. Madhava Krishna and Sourav Garg and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, Applied Sciences and Journal of Materials Chemistry B.

In The Last Decade

Jay Karhade

6 papers receiving 324 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.

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

2024 126 citations Nikhil Keetha, Jay Karhade et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay Karhade India	6	125	120	81	57	34	6	331
Beatrice Rossi Italy	9	47 0.4×	95 0.8×	25 0.3×	21 0.4×	15 0.4×	30	248
Srenivas Varadarajan United States	7	18 0.1×	200 1.7×	53 0.7×	18 0.3×	27 0.8×	21	334
Taragay Oskiper United States	10	212 1.7×	208 1.7×	30 0.4×	65 1.1×	7 0.2×	24	384
Patricia Angela R. Abu Philippines	15	20 0.2×	58 0.5×	104 1.3×	24 0.4×	48 1.4×	77	574
Zikai Song China	7	52 0.4×	218 1.8×	9 0.1×	13 0.2×	8 0.2×	21	304
C. Gurudas Nayak India	10	55 0.4×	29 0.2×	154 1.9×	42 0.7×	112 3.3×	35	331
R. Ginhoux France	8	69 0.6×	125 1.0×	73 0.9×	9 0.2×	4 0.1×	10	351
Yongwan Park South Korea	11	32 0.3×	35 0.3×	32 0.4×	60 1.1×	3 0.1×	43	384
K. Arbter Germany	9	138 1.1×	437 3.6×	12 0.1×	8 0.1×	9 0.3×	14	621
Olli Lahdenoja Finland	14	12 0.1×	113 0.9×	308 3.8×	78 1.4×	27 0.8×	47	554

Countries citing papers authored by Jay Karhade

Since Specialization

Citations

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

Fields of papers citing papers by Jay Karhade

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Karhade

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

All Works

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6 of 6 papers shown

1.

Keetha, Nikhil, Jay Karhade, Krishna Murthy Jatavallabhula, et al.. (2024). SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. 21357–21366. 126 indexed citations breakdown →

2.

Keetha, Nikhil, Jay Karhade, Krishna Murthy Jatavallabhula, et al.. (2023). AnyLoc: Towards Universal Visual Place Recognition. IEEE Robotics and Automation Letters. 9(2). 1286–1293. 64 indexed citations

3.

Karhade, Jay, et al.. (2022). Time–Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 60 indexed citations

4.

Karhade, Jay, et al.. (2021). Deep learning enabled classification of real-time respiration signals acquired by MoSSe quantum dot-based flexible sensors. Journal of Materials Chemistry B. 9(34). 6870–6880. 14 indexed citations

5.

Karhade, Jay, et al.. (2021). AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals. Computers in Biology and Medicine. 137. 104783–104783. 54 indexed citations

6.

Karhade, Jay, et al.. (2021). Multichannel Multiscale Two-Stage Convolutional Neural Network for the Detection and Localization of Myocardial Infarction Using Vectorcardiogram Signal. Applied Sciences. 11(17). 7920–7920. 13 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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