Oren Melamud

839 total citations · 1 hit paper
14 papers, 458 citations indexed

About

Oren Melamud is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Oren Melamud has authored 14 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Molecular Biology. Recurrent topics in Oren Melamud's work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Speech and dialogue systems (3 papers). Oren Melamud is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Speech and dialogue systems (3 papers). Oren Melamud collaborates with scholars based in Israel, United States and Germany. Oren Melamud's co-authors include Ido Dagan, Jacob Goldberger, Omer Levy, Torsten Zesch, Idan Szpektor, Mihaela Bornea, Jonathan Berant, Ken Barker, Deniz Yüret and Moshe Lewenstein and has published in prestigious journals such as Language Resources and Evaluation, ACM Transactions on Algorithms and Symposium on Discrete Algorithms.

In The Last Decade

Oren Melamud

14 papers receiving 416 citations

Hit Papers

context2vec: Learning Generic Context Embedding with Bidi... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Oren Melamud Israel 8 410 44 42 26 17 14 458
Markus Dreyer United States 15 523 1.3× 62 1.4× 45 1.1× 22 0.8× 21 1.2× 28 537
Silvio Amir Portugal 8 486 1.2× 62 1.4× 50 1.2× 35 1.3× 18 1.1× 17 539
Mark Ferguson United Kingdom 3 624 1.5× 43 1.0× 55 1.3× 37 1.4× 11 0.6× 6 672
Joseph Reisinger United States 10 499 1.2× 43 1.0× 53 1.3× 48 1.8× 24 1.4× 14 532
Hongkui Yu China 4 356 0.9× 44 1.0× 104 2.5× 36 1.4× 13 0.8× 9 430
Yitong Li China 9 267 0.7× 56 1.3× 51 1.2× 15 0.6× 16 0.9× 42 330
Daniel Beck Australia 8 304 0.7× 62 1.4× 45 1.1× 37 1.4× 10 0.6× 29 365
Ryohei Sasano Japan 11 282 0.7× 48 1.1× 42 1.0× 11 0.4× 11 0.6× 50 320
Mark Sammons United States 13 583 1.4× 53 1.2× 57 1.4× 34 1.3× 24 1.4× 33 631
Daniele Pighin Italy 11 380 0.9× 26 0.6× 57 1.4× 26 1.0× 13 0.8× 32 397

Countries citing papers authored by Oren Melamud

Since Specialization
Citations

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

Fields of papers citing papers by Oren Melamud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oren Melamud

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

All Works

14 of 14 papers shown
1.
Melamud, Oren, Mihaela Bornea, & Ken Barker. (2019). Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification. 3882–3891. 9 indexed citations
2.
Goldberger, Jacob & Oren Melamud. (2018). Self-Normalization Properties of Language Modeling. International Conference on Computational Linguistics. 764–773. 2 indexed citations
3.
Melamud, Oren & Jacob Goldberger. (2017). Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function. 167–171. 5 indexed citations
4.
Melamud, Oren, Jacob Goldberger, & Ido Dagan. (2016). context2vec: Learning Generic Context Embedding with Bidirectional LSTM. 51–61. 296 indexed citations breakdown →
5.
Artstein, Ron, et al.. (2016). The Negochat Corpus of Human-agent Negotiation Dialogues. Language Resources and Evaluation. 3141–3145. 4 indexed citations
6.
Wojatzki, Michael, Oren Melamud, & Torsten Zesch. (2016). Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises. DuEPublico (University of Duisburg-Essen). 172–181. 2 indexed citations
7.
Melamud, Oren, Ido Dagan, & Jacob Goldberger. (2015). Modeling Word Meaning in Context with Substitute Vectors. 28 indexed citations
8.
Melamud, Oren, Omer Levy, & Ido Dagan. (2015). A Simple Word Embedding Model for Lexical Substitution. 50 indexed citations
9.
Zesch, Torsten & Oren Melamud. (2014). Automatic Generation of Challenging Distractors Using Context-Sensitive Inference Rules. DuEPublico (University of Duisburg-Essen). 143–148. 25 indexed citations
10.
Melamud, Oren, Ido Dagan, Jacob Goldberger, Idan Szpektor, & Deniz Yüret. (2014). Probabilistic Modeling of Joint-context in Distributional Similarity. 181–190. 11 indexed citations
11.
Melamud, Oren, Jonathan Berant, Ido Dagan, Jacob Goldberger, & Idan Szpektor. (2013). A Two Level Model for Context Sensitive Inference Rules. Meeting of the Association for Computational Linguistics. 1331–1340. 15 indexed citations
12.
Melamud, Oren, Ido Dagan, Jacob Goldberger, & Idan Szpektor. (2013). Using Lexical Expansion to Learn Inference Rules from Sparse Data. Meeting of the Association for Computational Linguistics. 283–288. 3 indexed citations
13.
Aumann, Yonatan, Moshe Lewenstein, Oren Melamud, Ron Y. Pinter, & Zohar Yakhini. (2012). Dotted interval graphs. ACM Transactions on Algorithms. 8(2). 1–21. 1 indexed citations
14.
Aumann, Yonatan, Moshe Lewenstein, Oren Melamud, Ron Y. Pinter, & Zohar Yakhini. (2005). Dotted interval graphs and high throughput genotyping. Symposium on Discrete Algorithms. 339–348. 7 indexed citations

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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