Dave Zachariah

848 total citations
57 papers, 585 citations indexed

About

Dave Zachariah is a scholar working on Signal Processing, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Dave Zachariah has authored 57 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 13 papers in Artificial Intelligence and 13 papers in Aerospace Engineering. Recurrent topics in Dave Zachariah's work include Sparse and Compressive Sensing Techniques (11 papers), Direction-of-Arrival Estimation Techniques (11 papers) and Indoor and Outdoor Localization Technologies (8 papers). Dave Zachariah is often cited by papers focused on Sparse and Compressive Sensing Techniques (11 papers), Direction-of-Arrival Estimation Techniques (11 papers) and Indoor and Outdoor Localization Technologies (8 papers). Dave Zachariah collaborates with scholars based in Sweden, United States and Hong Kong. Dave Zachariah's co-authors include Petre Stoica, Magnus Jansson, Peter Händel, Jian Li, Isaac Skog, Alessio De Angelis, John-Olof Nilsson, Saikat Chatterjee, Per Mattsson and Mats Bengtsson and has published in prestigious journals such as IEEE Transactions on Signal Processing, Magnetic Resonance in Medicine and IEEE Access.

In The Last Decade

Dave Zachariah

52 papers receiving 560 citations

Peers

Dave Zachariah

EEE

CVPR

Mohammad Reza Taban Iran

Lisandro Lovisolo Brazil

Tarig Ballal Saudi Arabia

Philipp Heidenreich Germany

Mahmood Karimi Iran

Jianfeng Chen China

Emanuel Rădoi France

Daegun Oh South Korea

Josef Kulmer Austria

Mohammad Reza Taban Iran

Dave Zachariah

245 ×1.2

195 ×1.0

EEE

96 ×0.6

59 ×0.5

44 ×0.5

CVPR

Citations per year, relative to Dave Zachariah Dave Zachariah (= 1×) peers Mohammad Reza Taban

Countries citing papers authored by Dave Zachariah

Since Specialization

Citations

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

Fields of papers citing papers by Dave Zachariah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dave Zachariah

This figure shows the co-authorship network connecting the top 25 collaborators of Dave Zachariah. A scholar is included among the top collaborators of Dave Zachariah 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 Dave Zachariah. Dave Zachariah 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

Zachariah, Dave, et al.. (2025). Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction. JCO Clinical Cancer Informatics. 9(9). e2400324–e2400324.

Zachariah, Dave, Anders Lewén, Anders Hånell, et al.. (2024). Machine Learning Based Prediction of Imminent ICP Insults During Neurocritical Care of Traumatic Brain Injury. Neurocritical Care. 42(2). 387–397. 1 indexed citations

Wang, Zengkun, Petre Stoica, Dave Zachariah, Prabhu Babu, & Zhibo Yang. (2023). Min-Max Probe Placement and Extended Relaxation Estimation Method for Processing Blade Tip Timing Signals. IEEE Transactions on Instrumentation and Measurement. 72. 1–9.

Mattsson, Per, Dave Zachariah, & Petre Stoica. (2023). Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes]. IEEE Signal Processing Magazine. 40(3). 39–75. 1 indexed citations

Mattsson, Per, Dave Zachariah, & Petre Stoica. (2023). Regularized Linear Regression via Covariance Fitting. IEEE Transactions on Signal Processing. 71. 1175–1183. 1 indexed citations

Zachariah, Dave, et al.. (2021). Robust localization in wireless networks from corrupted signals. EURASIP Journal on Advances in Signal Processing. 2021(1). 1 indexed citations

Zachariah, Dave, et al.. (2020). Robust Risk Minimization for Statistical Learning From Corrupted Data. IEEE Open Journal of Signal Processing. 1. 287–294. 1 indexed citations

Zachariah, Dave, et al.. (2019). Learning Sparse Graphs for Prediction of Multivariate Data Processes. IEEE Signal Processing Letters. 26(3). 495–499. 4 indexed citations

Mattsson, Per, Dave Zachariah, & Niclas Björsell. (2019). Flexible Models for Smart Maintenance. DiVA (University of Gävle). 1772–1777. 1 indexed citations

10.

Zachariah, Dave, et al.. (2019). Data Consistency Approach to Model Validation. IEEE Access. 7. 59788–59796. 5 indexed citations

11.

Mattsson, Per, Dave Zachariah, & Petre Stoica. (2018). Identification of cascade water tanks using a PWARX model. Mechanical Systems and Signal Processing. 106. 40–48. 12 indexed citations

12.

Das, Anup, Dave Zachariah, & Petre Stoica. (2017). Comparison of Two Hyperparameter-Free Sparse Signal Processing Methods for Direction-of-Arrival Tracking in the HF97 Ocean Acoustic Experiment. IEEE Journal of Oceanic Engineering. 43(3). 725–734. 15 indexed citations

13.

Zachariah, Dave, et al.. (2015). A multicomponent T₂ relaxometry algorithm for myelin water imaging of the brain. Magnetic Resonance in Medicine. 75(1). 390–402. 20 indexed citations

14.

Zachariah, Dave & Petre Stoica. (2015). Online Hyperparameter-Free Sparse Estimation Method. IEEE Transactions on Signal Processing. 63(13). 3348–3359. 29 indexed citations

15.

Stoica, Petre, et al.. (2014). Gridless compressive-sensing methods for frequency estimation: Points of tangency and links to basics. European Signal Processing Conference. 1831–1835. 13 indexed citations

16.

Zachariah, Dave, et al.. (2014). Estimation for the Linear Model With Uncertain Covariance Matrices. IEEE Transactions on Signal Processing. 62(6). 1525–1535. 4 indexed citations

17.

Zachariah, Dave, et al.. (2013). The Linear Model Under Mixed Gaussian Inputs: Designing the Transfer Matrix. IEEE Transactions on Signal Processing. 61(21). 5247–5259. 3 indexed citations

18.

Vehkaperä, Mikko, et al.. (2012). Mean square error reduction by precoding of mixed Gaussian input. International Symposium on Information Theory and its Applications. 81–85. 1 indexed citations

19.

Skog, Isaac, John-Olof Nilsson, Dave Zachariah, & Peter Händel. (2012). Fusing the information from two navigation systems using an upper bound on their maximum spatial separation. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–5. 60 indexed citations

20.

Zachariah, Dave & Magnus Jansson. (2011). Self-motion and wind velocity estimation for small-scale UAVs. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1166–1171. 16 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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