Eli Konen

7.5k citations
182 papers · 4.8k indexed · h-index 40

Impact in

Papers in

Eli Konen

175 papers receiving 4.7k citations

Peers

Eli Konen
Comparison fields: 5 of 163
  • Health Informatics 469
  • Radiology, Nuclear Medicine and Imaging 1.6k
  • Cardiology and Cardiovascular Medicine 1.2k
  • Internal Medicine 136
  • Pulmonary and Respiratory Medicine 1.0k
Replace Peter M. A. van Ooijen with:
Peter M. A. van Ooijen Netherlands
Dominik Fleischmann United States
Marc Dewey Germany
Seong Ho Park South Korea
Kyunghwa Han South Korea
Jonathan Weir‐McCall United Kingdom
Eyal Klang Israel
Thomas Frauenfelder Switzerland
Takeshi Nakaura Japan
Robert M. Kwee Netherlands
Eli Konen relative to Peter M. A. van Ooijen Netherlands Peter M. A. van Ooijen's profile →
Citations per field
00.5×1.5×1.8×
Peter M. A. van Ooijen · 1×
Citations per year

Countries citing papers authored by Eli Konen

Since Specialization
Citations

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

Fields of papers citing papers by Eli Konen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eli Konen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eli Konen Line = papers co-authored together Eli Konen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009250
2 2015244
3 2015167
4 2023147
5 2012145
6 2010136
7 2020131
8 2007129
9 2020128
10 2003102
11 200598
12 200994
13 202194
14 199885
15 201284
16 201380
17 200470
18 200868
19 200467
20 200867

About Eli Konen

Eli Konen is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Internal Medicine, Critical Care and Intensive Care Medicine and Cardiology and Cardiovascular Medicine, having authored 182 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (26 papers), Radiomics and Machine Learning in Medical Imaging (24 papers), AI in cancer detection (16 papers), Artificial Intelligence in Healthcare and Education (16 papers), COVID-19 diagnosis using AI (14 papers), Radiation Dose and Imaging (14 papers), Venous Thromboembolism Diagnosis and Management (11 papers) and Ultrasound in Clinical Applications (11 papers). The work is most often cited by research in Health Informatics (469 citations), Radiology, Nuclear Medicine and Imaging (1.6k citations), Cardiology and Cardiovascular Medicine (1.2k citations), Internal Medicine (136 citations) and Pulmonary and Respiratory Medicine (1.0k citations). Eli Konen has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Eyal Klang, Yiftach Barash, Orly Goitein, Vera Sorin, Hayit Greenspan, Elio Di Segni, Victor Guetta, Idit Diamant, Sivan Lieberman and Yael Eshet. Their work appears in journals such as American Journal of Roentgenology, Clinical Radiology, Academic Radiology, European Journal of Radiology and European Radiology.

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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