Petro Kostandy

695 total citations
8 papers, 446 citations indexed

About

Petro Kostandy is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Petro Kostandy has authored 8 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Neurology. Recurrent topics in Petro Kostandy's work include Medical Imaging Techniques and Applications (2 papers), Medical Image Segmentation Techniques (2 papers) and Brain Tumor Detection and Classification (2 papers). Petro Kostandy is often cited by papers focused on Medical Imaging Techniques and Applications (2 papers), Medical Image Segmentation Techniques (2 papers) and Brain Tumor Detection and Classification (2 papers). Petro Kostandy collaborates with scholars based in United States, Norway and Thailand. Petro Kostandy's co-authors include Kenneth A. Philbrick, Bradley J. Erickson, Panagiotis Korfiatis, Alexander D. Weston, Naoki Takahashi, Timothy L. Kline, Tomas Sakinis, Motokazu Sugimoto, Zeynettin Akkus and Arunnit Boonrod and has published in prestigious journals such as Radiology, Medical Physics and Neurocomputing.

In The Last Decade

Petro Kostandy

8 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Petro Kostandy United States	7	218	111	106	79	66	8	446
Tomas Sakinis Norway	7	265 1.2×	125 1.1×	92 0.9×	60 0.8×	103 1.6×	10	499
Christopher P. Bridge United States	14	205 0.9×	140 1.3×	80 0.8×	81 1.0×	114 1.7×	43	593
Oleg Museyko Germany	15	107 0.5×	146 1.3×	131 1.2×	271 3.4×	16 0.2×	30	677
Karl James Ireland	7	195 0.9×	137 1.2×	127 1.2×	74 0.9×	14 0.2×	17	450
Fiachra Moloney Ireland	13	248 1.1×	71 0.6×	186 1.8×	97 1.2×	14 0.2×	33	550
Martin Segeroth Switzerland	5	337 1.5×	27 0.2×	180 1.7×	54 0.7×	68 1.0×	11	516
Hans Frimmel Sweden	13	183 0.8×	145 1.3×	38 0.4×	50 0.6×	68 1.0×	31	544
Matthew H. Lee United States	12	161 0.7×	35 0.3×	112 1.1×	110 1.4×	8 0.1×	31	445
Colleen Buckless United States	10	71 0.3×	78 0.7×	75 0.7×	96 1.2×	13 0.2×	18	366
Joshy Cyriac Switzerland	11	496 2.3×	27 0.2×	271 2.6×	123 1.6×	95 1.4×	22	789

Countries citing papers authored by Petro Kostandy

Since Specialization

Citations

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

Fields of papers citing papers by Petro Kostandy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petro Kostandy

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

All Works

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8 of 8 papers shown

Weston, Alexander D., Panagiotis Korfiatis, Kenneth A. Philbrick, et al.. (2020). Complete abdomen and pelvis segmentation using U‐net variant architecture. Medical Physics. 47(11). 5609–5618. 22 indexed citations

Dey, Jacob K., Michael D. Olson, Andrew J. Bowen, et al.. (2019). Assessing Nasal Soft-Tissue Envelope Thickness for Rhinoplasty. JAMA Facial Plastic Surgery. 21(6). 511–517. 19 indexed citations

Philbrick, Kenneth A., Alexander D. Weston, Zeynettin Akkus, et al.. (2019). RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning. Journal of Digital Imaging. 32(4). 571–581. 78 indexed citations

Akkus, Zeynettin, Petro Kostandy, Kenneth A. Philbrick, & Bradley J. Erickson. (2019). Robust brain extraction tool for CT head images. Neurocomputing. 392. 189–195. 32 indexed citations

Weston, Alexander D., Panagiotis Korfiatis, Timothy L. Kline, et al.. (2018). Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning. Radiology. 290(3). 669–679. 248 indexed citations

Romero‐Brufau, Santiago, Petro Kostandy, Kayse Lee Maass, et al.. (2018). Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics.. PubMed. 2018. 942–951. 5 indexed citations

Akkus, Zeynettin, Petro Kostandy, Kenneth A. Philbrick, & Bradley J. Erickson. (2018). Extraction of brain tissue from CT head images using fully convolutional neural networks. 71–71. 11 indexed citations

Kostandy, Petro, Elizabeth Kagan Arleo, Andrew S. Griffin, et al.. (2015). Development and Utilization of a Web-Based Application as a Robust Radiology Teaching Tool (RadStax) for Medical Student Anatomy Teaching. Academic Radiology. 22(2). 247–255. 31 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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