Michal Guindy

44 total papers · 892 total citations
25 papers, 441 citations indexed

About

Michal Guindy is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Michal Guindy has authored 25 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Michal Guindy's work include Global Cancer Incidence and Screening (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and AI in cancer detection (4 papers). Michal Guindy is often cited by papers focused on Global Cancer Incidence and Screening (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and AI in cancer detection (4 papers). Michal Guindy collaborates with scholars based in Israel, United Kingdom and United States. Michal Guindy's co-authors include Aviva Fattal‐Valevski, Michal Rosen‐Zvi, Varda Shalev, Ella Barkan, Adam Spiro, Yoram Greenstein, Michal Chorev, Nathanel Zelnik, Ayelet Akselrod-Ballin and Ehud Karavani and has published in prestigious journals such as Radiology, Annals of Oncology and Vaccine.

In The Last Decade

Michal Guindy

24 papers receiving 431 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michal Guindy	164	132	99	66	64	25	441
Jeevesh Kapur	168 1.0×	83 0.6×	29 0.3×	73 1.1×	72 1.1×	32	461
Ming Gao	115 0.7×	46 0.3×	44 0.4×	44 0.7×	34 0.5×	28	468
Wenhui Huang	108 0.7×	43 0.3×	34 0.3×	91 1.4×	29 0.5×	36	444
Chun Gao	24 0.1×	23 0.2×	89 0.9×	76 1.2×	38 0.6×	25	433
Maryam Jessri	52 0.3×	51 0.4×	51 0.5×	27 0.4×	25 0.4×	24	481
Hannah Weiss	79 0.5×	59 0.4×	38 0.4×	56 0.8×	41 0.6×	29	392
Kirti Magudia	142 0.9×	30 0.2×	42 0.4×	38 0.6×	62 1.0×	31	422
Hester Burger	215 1.3×	28 0.2×	27 0.3×	97 1.5×	19 0.3×	35	445
Yuan Kao	27 0.2×	32 0.2×	44 0.4×	117 1.8×	21 0.3×	32	371
Lingyao Yang	113 0.7×	76 0.6×	45 0.5×	25 0.4×	41 0.6×	17	471

Countries citing papers authored by Michal Guindy

Since Specialization

Citations

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

Fields of papers citing papers by Michal Guindy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Guindy

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

All Works

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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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