Benjamin Sznajder

627 total citations
16 papers, 200 citations indexed

About

Benjamin Sznajder is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Benjamin Sznajder has authored 16 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Benjamin Sznajder's work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (6 papers). Benjamin Sznajder is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (6 papers). Benjamin Sznajder collaborates with scholars based in Israel, United States and Canada. Benjamin Sznajder's co-authors include Sivan Yogev, Noam Slonim, Dafna Sheinwald, Andreas Neumann, Ronny Lempel, Ranit Aharonov, Nadav Golbandi, Shila Ofek-Koifman, Nadav Har’El and Shay Hummel and has published in prestigious journals such as IBM Journal of Research and Development and DuEPublico (University of Duisburg-Essen).

In The Last Decade

Benjamin Sznajder

13 papers receiving 175 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Sznajder Israel 8 134 77 34 28 25 16 200
Ella Rabinovich Israel 9 184 1.4× 56 0.7× 30 0.9× 53 1.9× 25 1.0× 25 240
Rila Mandala Indonesia 7 239 1.8× 146 1.9× 48 1.4× 24 0.9× 41 1.6× 42 316
Mingda Li China 8 128 1.0× 48 0.6× 28 0.8× 32 1.1× 39 1.6× 36 209
Hiroaki Ohshima Japan 8 104 0.8× 104 1.4× 28 0.8× 17 0.6× 33 1.3× 50 219
Taha Osman United Kingdom 9 152 1.1× 79 1.0× 10 0.3× 41 1.5× 28 1.1× 36 223
Dimitris Bilidas Greece 6 117 0.9× 46 0.6× 32 0.9× 46 1.6× 16 0.6× 15 161
Dima Suleiman Jordan 12 346 2.6× 102 1.3× 14 0.4× 33 1.2× 27 1.1× 35 429
Giovanni Cozzolino Italy 8 52 0.4× 85 1.1× 38 1.1× 46 1.6× 42 1.7× 19 163
Karun Bakshi United States 6 150 1.1× 110 1.4× 10 0.3× 48 1.7× 44 1.8× 8 257

Countries citing papers authored by Benjamin Sznajder

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Sznajder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Sznajder

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

All Works

16 of 16 papers shown
1.
Gera, Ariel, et al.. (2024). Label-Efficient Model Selection for Text Generation. 8384–8402.
2.
3.
Feigenblat, Guy, Chulaka Gunasekara, Benjamin Sznajder, et al.. (2021). TWEETSUMM - A Dialog Summarization Dataset for Customer Service. 245–260. 12 indexed citations
4.
Gunasekara, Chulaka, Guy Feigenblat, Benjamin Sznajder, Ranit Aharonov, & Sachindra Joshi. (2021). Using Question Answering Rewards to Improve Abstractive Summarization. 518–526. 13 indexed citations
5.
Ein‐Dor, Liat, Ariel Gera, Orith Toledo‐Ronen, et al.. (2019). Financial Event Extraction Using Wikipedia-Based Weak Supervision. 10–15. 12 indexed citations
6.
Bilu, Yonatan, Ariel Gera, Daniel Hershcovich, et al.. (2019). Argument Invention from First Principles. 1013–1026. 13 indexed citations
7.
Rabinovich, Ella, Benjamin Sznajder, Ilya Shnayderman, et al.. (2018). Learning Concept Abstractness Using Weak Supervision. 4854–4859. 8 indexed citations
8.
Levy, Ran, Shai Gretz, Benjamin Sznajder, et al.. (2017). Unsupervised corpus–wide claim detection. 79–84. 22 indexed citations
9.
Roitman, Haggai, Shay Hummel, Ella Rabinovich, et al.. (2016). On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics. 991–996. 13 indexed citations
10.
Cohen, Sara, et al.. (2014). Searching in an XML corpus using content and structure. DuEPublico (University of Duisburg-Essen).
11.
Konopnicki, David, Michal Shmueli-Scheuer, Doron Cohen, et al.. (2013). A statistical approach to mining customers' conversational data from social media. IBM Journal of Research and Development. 57(3/4). 14:1–14:13. 5 indexed citations
12.
Shmueli-Scheuer, Michal, et al.. (2012). "Greaaaat bargains starting from just 99p!!!! :-)". 19–20. 1 indexed citations
13.
Mamou, Jonathan, Yosi Mass, Michal Shmueli-Scheuer, & Benjamin Sznajder. (2009). A unified inverted index for an efficient image and text retrieval. 814–815. 3 indexed citations
14.
Yogev, Sivan, Nadav Golbandi, Nadav Har’El, et al.. (2008). Beyond basic faceted search. 33–33. 93 indexed citations
15.
Mamou, Jonathan, Yosi Mass, Michal Shmueli-Scheuer, & Benjamin Sznajder. (2007). A Query Language for Multimedia Content. 3 indexed citations
16.
Mass, Yosi, Dafna Sheinwald, Benjamin Sznajder, & Sivan Yogev. (2007). XML fragments extended with database operators. 418–432. 2 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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