Daniel Avitzour

30 papers receiving 627 citations

Peers

Daniel Avitzour
Comparison fields: 5 of 57
  • Mathematical Physics 172
  • Pulmonary and Respiratory Medicine 174
  • Artificial Intelligence 143
  • Statistics and Probability 33
  • Epidemiology 68
Replace G. Ritter with:
G. Ritter Germany
MICHAEL C. GIUDICI Australia
Qing Pan China
Michael Graß Germany
Christopher J. Arthurs United Kingdom
Xueying Zeng China
Radomí­r Chabiniok United Kingdom
Jerold W. Wallis United States
Michael Sühling Germany
Atul M. Padole United States
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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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982101
2 199285
3 199574
4 198261
5 200254
6 200041
7 200025
8 200024
9 200124
10 200224
11 200221
12 200420
13 199017
14 200116
15 200214
16 200112
17 200112
18
The concomitant appearance of aggregated erythrocytes, leukocytes and platelets in the peripheral blood of patients with risk factors for atherothrombosis.
200111
19 19849
20 20018

About Daniel Avitzour

Daniel Avitzour is a scholar working on Pulmonary and Respiratory Medicine, Mathematical Physics, Epidemiology, Physiology and Immunology, having authored 30 papers that have together received 691 indexed citations. Recurring topics across this work include Blood properties and coagulation (12 papers), Clinical Laboratory Practices and Quality Control (4 papers), Sepsis Diagnosis and Treatment (4 papers), Advanced Operator Algebra Research (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Inflammation biomarkers and pathways (3 papers), Control Systems and Identification (2 papers) and Radar Systems and Signal Processing (2 papers). The work is most often cited by research in Mathematical Physics (172 citations), Pulmonary and Respiratory Medicine (174 citations), Artificial Intelligence (143 citations), Statistics and Probability (33 citations) and Epidemiology (68 citations). Daniel Avitzour has collaborated with scholars based in Israel and United States. Frequent co-authors include Shlomo A. Berliner, David Zeltser, Itzhak Shapira, Rivka Rotstein, Nadir Arber, Renato Fusman, Ori Rogowski, Tamar Mardi, Natan M. Bornstein and Keren Politi Elishkevitz. Their work appears in journals such as Transactions of the American Mathematical Society, IEEE Transactions on Aerospace and Electronic Systems, Acta Diabetologica, Journal of the American Geriatrics Society and Acta Neurologica Scandinavica.

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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