Daniel Kotlar
Impact in
-
- Limits and Structures in Graph Theory
-
- RNA and protein synthesis mechanisms
- Fractal and DNA sequence analysis
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- Advanced Graph Theory Research 15
- Graph Labeling and Dimension Problems 4
-
- graph theory and CDMA systems 14
- Co-authors
- Yizhar Lavner (3 shared papers)Ziv Ran (12 shared papers)Ron Aharoni (8 shared papers)Eli Berger (4 shared papers)Rebecca J. Stones (4 shared papers)Raúl Manuel Falcón Ganfornina (3 shared papers)Martin Loebl (1 shared paper)Noga Alon (1 shared paper)
In The Last Decade
Daniel Kotlar
25 papers receiving 403 citations
Peers
Comparison fields: 5 of 60
- Discrete Mathematics and Combinatorics 51
- Molecular Biology 299
- Geometry and Topology 32
- Computational Theory and Mathematics 58
- Algebra and Number Theory 7
Countries citing papers authored by Daniel Kotlar
This map shows the geographic impact of Daniel Kotlar'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 Kotlar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kotlar more than expected).
Fields of papers citing papers by Daniel Kotlar
This network shows the impact of papers produced by Daniel Kotlar. 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 Kotlar. The network helps show where Daniel Kotlar may publish in the future.
Co-authors
The 11 scholars most cited alongside Daniel Kotlar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 171 | |
| 2 | 2003 | 121 | |
| 3 | 2006 | 40 | |
| 4 | 2013 | 9 | |
| 5 | 2017 | 7 | |
| 6 | 2012 | 6 | |
| 7 | 2017 | 6 | |
| 8 | 2017 | 6 | |
| 9 | 2005 | 5 | |
| 10 | 1995 | 5 | |
| 11 | 2013 | 5 | |
| 12 | 2014 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2012 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 1989 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2018 | 3 |
About Daniel Kotlar
Daniel Kotlar is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering, Discrete Mathematics and Combinatorics, Geometry and Topology and Molecular Biology, having authored 28 papers that have together received 420 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (15 papers), graph theory and CDMA systems (14 papers), Limits and Structures in Graph Theory (8 papers), Graph Labeling and Dimension Problems (4 papers), Mathematics and Applications (4 papers), Finite Group Theory Research (3 papers), Coding theory and cryptography (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (51 citations), Molecular Biology (299 citations), Geometry and Topology (32 citations), Computational Theory and Mathematics (58 citations) and Algebra and Number Theory (7 citations). Daniel Kotlar has collaborated with scholars based in Israel, Spain and China. Frequent co-authors include Yizhar Lavner, Ziv Ran, Ron Aharoni, Eli Berger, Rebecca J. Stones, Raúl Manuel Falcón Ganfornina, Martin Loebl, Noga Alon, Murray Schacher and Jack Sonn. Their work appears in journals such as SIAM Journal on Discrete Mathematics, Journal of Algebra, Discrete Mathematics, The Electronic Journal of Combinatorics and Journal of Graph Theory.
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.