Teddy Lazebnik

1.2k total citations
88 papers, 658 citations indexed

About

Teddy Lazebnik is a scholar working on Modeling and Simulation, Artificial Intelligence and Genetics. According to data from OpenAlex, Teddy Lazebnik has authored 88 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Modeling and Simulation, 17 papers in Artificial Intelligence and 13 papers in Genetics. Recurrent topics in Teddy Lazebnik's work include COVID-19 epidemiological studies (18 papers), Machine Learning and Data Classification (8 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). Teddy Lazebnik is often cited by papers focused on COVID-19 epidemiological studies (18 papers), Machine Learning and Data Classification (8 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). Teddy Lazebnik collaborates with scholars based in Israel, United Kingdom and United States. Teddy Lazebnik's co-authors include Svetlana Bunimovich‐Mendrazitsky, Alex Liberzon, Gaddi Blumrosen, Ariel Rosenfeld, Oren Glickman, Avi Rosenfeld, Anna Zamansky, Sarel Halachmi, Zaher Bahouth and Leonid Shaikhet and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Teddy Lazebnik

78 papers receiving 636 citations

Peers

Teddy Lazebnik
Comparison fields: 5 of 132
  • Modeling and Simulation 172
  • Artificial Intelligence 98
  • Genetics 76
  • Public Health, Environmental and Occupational Health 68
  • Economics and Econometrics 60
Replace Laëtitia Gauvin with:
Laëtitia Gauvin Italy
Luis E. C. Rocha Belgium
Andreas Bender Germany
Padmanabhan Seshaiyer United States
David Lucy United Kingdom
Benyun Shi China
Wenjie Hu China
Ben Lambert United Kingdom
Keith Bisset United States
Gloria Li United States
Laëtitia Gauvin Italy View profile →
Citations per field, relative to Teddy Lazebnik
Teddy Lazebnik · 1×
Citations per year, relative to Teddy Lazebnik
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Countries citing papers authored by Teddy Lazebnik

Since Specialization
Citations

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

Fields of papers citing papers by Teddy Lazebnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teddy Lazebnik

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 1
5 0
6 1
7 1
8 2
9 1
10 6
11 3
12 0
13 23
14 17
15 0
16 8
17 3
18 6
19 8
20 6

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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