Elon Portugaly

2.4k citations
10 papers · 1.3k indexed · 1 hit paper · h-index 9

Elon Portugaly

10 papers receiving 1.3k citations

Hit Papers

Hidden Markov model speed heuristic and iterative HMM sea...20102026201520202010250500750

Peers

Elon Portugaly
Comparison fields: 5 of 137
  • Molecular Biology 735
  • Plant Science 221
  • Artificial Intelligence 199
  • Ecology 167
  • Management Science and Operations Research 117
Replace Danny Kriz̧anc with:
Danny Kriz̧anc United States
Prachi Shah United States
Karen Eilbeck United States
Robert J. Prill United States
Shane T. Jensen United States
Sarah Cohen‐Boulakia France
Susan M. Bridges United States
Miguel Reboiro‐Jato Spain
Jonathan M. Keith Australia
Amelia Ireland United Kingdom
Elon Portugaly relative to Danny Kriz̧anc United States Danny Kriz̧anc's profile →
Citations per field
00.5×5.3×
Danny Kriz̧anc · 1×
Citations per year

Countries citing papers authored by Elon Portugaly

Since Specialization
Citations

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

Fields of papers citing papers by Elon Portugaly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elon Portugaly

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1
Counterfactual reasoning and learning systems: the example of computational advertising
208
2 57
3
Hidden Markov model speed heuristic and iterative HMM search procedurebreakdown →
860
4 96
5 13
6 22
7 16
8 15
9 1
10 18

About Elon Portugaly

Elon Portugaly is a scholar working on Management Science and Operations Research, Molecular Biology and Artificial Intelligence, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), Protein Structure and Dynamics (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Molecular Biology (735 citations), Management Science and Operations Research (117 citations) and Endocrinology (35 citations). Elon Portugaly has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include L. Steven Johnson, Sean R. Eddy, Michal Linial, Joaquin Quiñonero-Candela, Léon Bottou, David M. Chickering, Denis Charles, Jonas Peters, Patrice Simard and Dipankar Ray. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

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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