Edward Walczak

979 total citations
7 papers, 239 citations indexed

About

Edward Walczak is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Edward Walczak has authored 7 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Edward Walczak's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Gastrointestinal Tumor Research and Treatment (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). Edward Walczak is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Gastrointestinal Tumor Research and Treatment (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). Edward Walczak collaborates with scholars based in United States, Sweden and Australia. Edward Walczak's co-authors include Jessica Sher, Yu Chen, Ping Chi, Youxin Guan, Manija A. Kazmi, Jenny Q. Zhang, Thomas P. Sakmar, Amanda R. Moore, Alexander N. Shoushtari and Barry S. Taylor and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Edward Walczak

5 papers receiving 238 citations

Peers

Edward Walczak
Jessica Sher United States
Oliver Surriga United States
Simone Lubrano United States
Elaine M. Binkley United States
Berber M. Mol Netherlands
Christine N. Spencer United States
Xiuzhen Yue United States
Naoyasu Umeda United States
María Gomez‐Caraballo United States
Carolina Bernal-Morales Spain
Jessica Sher United States
Edward Walczak
Citations per year, relative to Edward Walczak Edward Walczak (= 1×) peers Jessica Sher

Countries citing papers authored by Edward Walczak

Since Specialization
Citations

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

Fields of papers citing papers by Edward Walczak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Walczak

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

All Works

7 of 7 papers shown
1.
Walczak, Edward, et al.. (2023). Laparoscopic training instruments designed to provide real-time feedback for surgical trainees. 10. 32–42. 1 indexed citations
2.
Walczak, Edward, et al.. (2020). Evaluating the Perceived Importance of Male Ejaculatory Function. Urology. 147. 162–166. 2 indexed citations
3.
Heller, Nicholas, Sean McSweeney, Matthew Peterson, et al.. (2020). MP42-11 AN INTERNATIONAL CHALLENGE TO USE ARTIFICIAL INTELLIGENCE TO DEFINE THE STATE OF THE ART IN KIDNEY AND KIDNEY TUMOR SEGMENTATION IN CT IMAGING. The Journal of Urology. 203(Supplement 4).
4.
Heller, Nicholas, Sean McSweeney, Matthew Peterson, et al.. (2020). An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in CT imaging.. Journal of Clinical Oncology. 38(6_suppl). 626–626. 10 indexed citations
5.
Blake, Paul, Niranjan Sathianathen, Nicholas Heller, et al.. (2019). Automatic R.E.N.A.L. nephrometry scoring using machine learning. European Urology Supplements. 18(1). e904–e905.
6.
Ran, Leili, Devan Murphy, Jessica Sher, et al.. (2017). ETV1-Positive Cells Give Rise to BRAFV600E -Mutant Gastrointestinal Stromal Tumors. Cancer Research. 77(14). 3758–3765. 12 indexed citations
7.
Moore, Amanda R., Emilie Ceraudo, Jessica Sher, et al.. (2016). Recurrent activating mutations of G-protein-coupled receptor CYSLTR2 in uveal melanoma. Nature Genetics. 48(6). 675–680. 214 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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2026