Daniel Avitzour

30 papers receiving 583 citations

Peers

Daniel Avitzour
Comparison fields: 5 of 97
  • Algebra and Number Theory 95
  • Mathematical Physics 151
  • Statistics and Probability 63
  • Geometry and Topology 56
  • Pulmonary and Respiratory Medicine 191
Replace Michael Magee with:
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Lothar Heinrich Germany
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Daniel Avitzour relative to Michael Magee United States Michael Magee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Avitzour

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Avitzour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Avitzour, 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 Daniel Avitzour Line = papers co-authored together Daniel Avitzour links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198291
2 199280
3 199576
4 198257
5 200251
6 200041
7 200025
8 200124
9 200224
10 200221
11 200419
12 199017
13 200215
14 200114
15 200113
16 200112
17
The concomitant appearance of aggregated erythrocytes, leukocytes and platelets in the peripheral blood of patients with risk factors for atherothrombosis.
200110
18 20028
19 20018
20 19847

About Daniel Avitzour

Daniel Avitzour is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism, Mathematical Physics and Artificial Intelligence, having authored 32 papers that have together received 650 indexed citations. Recurring topics across this work include Blood properties and coagulation (16 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Advanced Operator Algebra Research (4 papers), Platelet Disorders and Treatments (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Algebra and Number Theory (95 citations), Mathematical Physics (151 citations), Statistics and Probability (63 citations), Geometry and Topology (56 citations) and Pulmonary and Respiratory Medicine (191 citations). Daniel Avitzour has collaborated with scholars based in Israel and United States. Frequent co-authors include Shlomo Berliner, David Zeltser, Nadir Arber, Renato Fusman, Rivka Rotstein, Itzhak Shapira, Ori Rogowski, Tamar Mardi, Natan M. Bornstein and Keren Elishkevitz. Their work appears in journals such as Transactions of the American Mathematical Society, IEEE Transactions on Aerospace and Electronic Systems, Archives of Pathology & Laboratory Medicine, Acta Diabetologica and IEEE Signal Processing Letters.

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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