Gabriel Maliakal

1.4k total citations
6 papers, 185 citations indexed

About

Gabriel Maliakal is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gabriel Maliakal has authored 6 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Biomedical Engineering and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Gabriel Maliakal's work include Advanced X-ray and CT Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Gabriel Maliakal is often cited by papers focused on Advanced X-ray and CT Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Gabriel Maliakal collaborates with scholars based in United States, Netherlands and Singapore. Gabriel Maliakal's co-authors include James K. Min, Subhi J. Al’Aref, Mohit Pandey, Kranthi K. Kolli, Gurpreet Singh, Alexander van Rosendael, Zhuoran Xu, Jing Wang, Marly van Assen and Aeshita Dwivedi and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Journal of the American Heart Association.

In The Last Decade

Gabriel Maliakal

6 papers receiving 184 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gabriel Maliakal United States	4	88	77	49	31	28	6	185
Víctor Vicente-Palacios Spain	9	66 0.8×	77 1.0×	25 0.5×	28 0.9×	32 1.1×	21	227
P. Ignacio Dorado-Díaz Spain	7	66 0.8×	77 1.0×	20 0.4×	28 0.9×	30 1.1×	12	179
Jesús Sampedro-Gómez Spain	7	66 0.8×	77 1.0×	20 0.4×	28 0.9×	30 1.1×	12	179
Madeline Jankowski United States	5	118 1.3×	123 1.6×	34 0.7×	35 1.1×	15 0.5×	9	213
Maryam Alsharqi United Kingdom	7	110 1.3×	141 1.8×	24 0.5×	28 0.9×	14 0.5×	15	240
Azira Khalil Malaysia	12	150 1.7×	72 0.9×	56 1.1×	78 2.5×	54 1.9×	24	340
Peter Farjo United States	7	118 1.3×	200 2.6×	34 0.7×	47 1.5×	32 1.1×	22	331
Michail Mamalakis United Kingdom	9	157 1.8×	33 0.4×	37 0.8×	14 0.5×	70 2.5×	19	245
Anna Degiovanni Italy	10	145 1.6×	302 3.9×	26 0.5×	48 1.5×	23 0.8×	36	370
Tianming Du China	8	123 1.4×	39 0.5×	50 1.0×	77 2.5×	13 0.5×	29	214

Countries citing papers authored by Gabriel Maliakal

Since Specialization

Citations

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

Fields of papers citing papers by Gabriel Maliakal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Maliakal

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Maliakal. A scholar is included among the top collaborators of Gabriel Maliakal 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 Gabriel Maliakal. Gabriel Maliakal 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:

6 of 6 papers shown

1.

Wang, Chong, et al.. (2023). Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction. 1–5. 2 indexed citations

2.

Maliakal, Gabriel, et al.. (2023). Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data. IEEE Transactions on Computational Imaging. 9. 13–28. 12 indexed citations

3.

Pandey, Mohit, Zhuoran Xu, Evan Sholle, et al.. (2020). Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing. PLoS ONE. 15(7). e0236827–e0236827. 18 indexed citations

4.

Singh, Gurpreet, Subhi J. Al’Aref, Gabriel Maliakal, et al.. (2019). DEEP LEARNING BASED AUTOMATIC SEGMENTATION OF CARDIAC COMPUTED TOMOGRAPHY. Journal of the American College of Cardiology. 73(9). 1643–1643. 2 indexed citations

5.

Al’Aref, Subhi J., Gurpreet Singh, Alexander R. van Rosendael, et al.. (2019). Determinants of In‐Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach. Journal of the American Heart Association. 8(5). e011160–e011160. 72 indexed citations

6.

Singh, Gurpreet, Subhi J. Al’Aref, Marly van Assen, et al.. (2018). Machine learning in cardiac CT: Basic concepts and contemporary data. Journal of cardiovascular computed tomography. 12(3). 192–201. 79 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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