Lior Gazit

451 total citations
14 papers, 308 citations indexed

About

Lior Gazit is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lior Gazit has authored 14 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lior Gazit's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Pancreatic and Hepatic Oncology Research (3 papers) and AI in cancer detection (2 papers). Lior Gazit is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Pancreatic and Hepatic Oncology Research (3 papers) and AI in cancer detection (2 papers). Lior Gazit collaborates with scholars based in United States, Israel and Canada. Lior Gazit's co-authors include Amber L. Simpson, Richard Kinh Gian, Peter J. Allen, Liana Langdon‐Embry, Jayasree Chakraborty, Hagit Messer, Marc A. Attiyeh, Abhishek Midya, Farhana Zulkernine and Brett A. Simon and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Lior Gazit

14 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lior Gazit United States	9	157	143	64	63	41	14	308
Juan Antonio Retámero Spain	8	82 0.5×	116 0.8×	71 1.1×	176 2.8×	26 0.6×	13	299
Tobias Paul Seraphin Germany	8	102 0.6×	145 1.0×	83 1.3×	76 1.2×	40 1.0×	12	429
Ray C. Mayo United States	10	63 0.4×	210 1.5×	167 2.6×	146 2.3×	21 0.5×	16	422
Paul Knechtges United States	12	223 1.4×	301 2.1×	112 1.8×	47 0.7×	76 1.9×	27	482
Sukhinder Atkar-Khattra Canada	11	71 0.5×	212 1.5×	307 4.8×	29 0.5×	35 0.9×	24	446
Mustafa Deebajah United States	9	44 0.3×	55 0.4×	78 1.2×	45 0.7×	61 1.5×	26	312
Poonam Patil India	7	55 0.4×	136 1.0×	52 0.8×	114 1.8×	39 1.0×	31	356
Jillian Sue United States	4	272 1.7×	111 0.8×	74 1.2×	136 2.2×	33 0.8×	5	443
Amanda Dibden United Kingdom	7	202 1.3×	73 0.5×	61 1.0×	86 1.4×	16 0.4×	9	342
Rawen Kader United Kingdom	9	108 0.7×	91 0.6×	82 1.3×	36 0.6×	67 1.6×	35	247

Countries citing papers authored by Lior Gazit

Since Specialization

Citations

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

Fields of papers citing papers by Lior Gazit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lior Gazit

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

All Works

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14 of 14 papers shown

Gazit, Lior, Ofer Arazy, & Uri Hertz. (2023). Choosing between human and algorithmic advisors: The role of responsibility sharing. 1(2). 100009–100009. 6 indexed citations

Andrieu, Pamela Causa, Jennifer S. Golia Pernicka, Rona Yaeger, et al.. (2022). Natural Language Processing of Computed Tomography Reports to Label Metastatic Phenotypes With Prognostic Significance in Patients With Colorectal Cancer. JCO Clinical Cancer Informatics. 6(6). e2200014–e2200014. 9 indexed citations

Gazit, Lior, et al.. (2022). Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports. Frontiers in Artificial Intelligence. 5. 826402–826402. 41 indexed citations

Daly, Bobby, Jessica Flynn, Katherine S. Panageas, et al.. (2022). Analysis of a Remote Monitoring Program for Symptoms Among Adults With Cancer Receiving Antineoplastic Therapy. JAMA Network Open. 5(3). e221078–e221078. 42 indexed citations

Gian, Richard Kinh, Pamela Causa Andrieu, Anisha Luthra, et al.. (2021). Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a 10-year Period. Radiology. 301(1). 115–122. 39 indexed citations

Erinjeri, Joseph P., et al.. (2020). 4:03 PM Abstract No. 334 Reduction of unplanned late hours in inpatient procedure scheduling by forecasting with the Facebook Prophet algorithm. Journal of Vascular and Interventional Radiology. 31(3). S151–S152. 1 indexed citations

Daly, Bobby, Alice Zervoudakis, Lior Gazit, et al.. (2020). Building a Clinically Relevant Risk Model: Predicting Risk of a Potentially Preventable Acute Care Visit for Patients Starting Antineoplastic Treatment. JCO Clinical Cancer Informatics. 4(4). 275–289. 13 indexed citations

Attiyeh, Marc A., Jayasree Chakraborty, Lior Gazit, et al.. (2018). Preoperative risk prediction for intraductal papillary mucinous neoplasms by quantitative CT image analysis. HPB. 21(2). 212–218. 39 indexed citations

Gazit, Lior, et al.. (2018). Employing electronic health record data to predict risk of emergency department visits for new patients.. Journal of Clinical Oncology. 36(30_suppl). 314–314. 1 indexed citations

10.

Gazit, Lior & Hagit Messer. (2018). Advancements in the Statistical Study, Modeling, and Simulation of Microwave-Links in Cellular Backhaul Networks. Environments. 5(7). 75–75. 13 indexed citations

11.

Gazit, Lior & Hagit Messer. (2018). Sufficient Conditions for Reconstructing 2-D Rainfall Maps. IEEE Transactions on Geoscience and Remote Sensing. 56(11). 6334–6343. 10 indexed citations

12.

Chakraborty, Jayasree, Abhishek Midya, Lior Gazit, et al.. (2018). CT radiomics to predict high‐risk intraductal papillary mucinous neoplasms of the pancreas. Medical Physics. 45(11). 5019–5029. 84 indexed citations

13.

Gazit, Lior, Jayasree Chakraborty, Marc A. Attiyeh, et al.. (2017). Quantification of CT images for the classification of high- and low-risk pancreatic cysts. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101340X–101340X. 5 indexed citations

14.

Messer, Hagit & Lior Gazit. (2016). From cellular networks to the garden hose: Advances in rainfall monitoring via cellular power measurements. 64. 1012–1016. 5 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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