Ran Libeskind-Hadas
Impact in
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- Teaching and Learning Programming
- Hardware and Architecture top 5%
Papers in
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- Teaching and Learning Programming 12
- Co-authors
- Yaniv OvadiaDaniel C. FielderZachary DoddsChristine AlvaradoRami MelhemEliot BushMichael CharlestonGeoff Kuenning
- Journals
- BMC Bioinformatics (6 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (5 papers)IEEE/ACM Transactions on Networking (4 papers)Algorithms for Molecular Biology (2 papers)Journal of Computational Biology (2 papers)
- Partner nations
- United StatesSwitzerlandMexico
In The Last Decade
Ran Libeskind-Hadas
59 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Computer Science Applications 159
- Hardware and Architecture 87
- Computer Networks and Communications 193
- Parasitology 53
- Insect Science 93
Countries citing papers authored by Ran Libeskind-Hadas
This map shows the geographic impact of Ran Libeskind-Hadas'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 Ran Libeskind-Hadas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Libeskind-Hadas more than expected).
Fields of papers citing papers by Ran Libeskind-Hadas
This network shows the impact of papers produced by Ran Libeskind-Hadas. 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 Ran Libeskind-Hadas. The network helps show where Ran Libeskind-Hadas may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Libeskind-Hadas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2021 | 2 | |
| 3 | 2019 | 12 | |
| 4 | 2019 | 7 | |
| 5 | 2018 | 7 | |
| 6 | 2017 | 7 | |
| 7 | 2017 | 4 | |
| 8 | Computing for Biologists: Python Programming and Principles | 2014 | 4 |
| 9 | 2013 | 17 | |
| 10 | 2012 | 18 | |
| 11 | 2012 | 73 | |
| 12 | Pixels as polymers: unifying introductory biology and computer science through visual computation | 2011 | 0 |
| 13 | 2010 | 306 | |
| 14 | 2010 | 24 | |
| 15 | 2010 | 45 | |
| 16 | 2009 | 40 | |
| 17 | 2008 | 9 | |
| 18 | 2008 | 3 | |
| 19 | 2006 | 9 | |
| 20 | 1998 | 1 |
About Ran Libeskind-Hadas
Ran Libeskind-Hadas is a scholar working on Computer Science Applications, Hardware and Architecture, Computer Networks and Communications, Media Technology and Architecture, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Interconnection Networks and Systems (13 papers), Teaching and Learning Programming (12 papers), Advanced Optical Network Technologies (11 papers), Optical Network Technologies (8 papers), Distributed systems and fault tolerance (7 papers), Genetic diversity and population structure (7 papers) and Experimental Learning in Engineering (5 papers). The work is most often cited by research in Computer Science Applications (159 citations), Hardware and Architecture (87 citations), Computer Networks and Communications (193 citations), Parasitology (53 citations) and Insect Science (93 citations). Ran Libeskind-Hadas has collaborated with scholars based in United States, Switzerland and Mexico. Frequent co-authors include Yaniv Ovadia, Daniel C. Fielder, Zachary Dodds, Christine Alvarado, Rami Melhem, Eliot Bush, Michael Charleston, Geoff Kuenning, C. L. Liu and Yi-Chieh Wu. Their work appears in journals such as BMC Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE/ACM Transactions on Networking, Algorithms for Molecular Biology and Journal of Computational Biology.
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.