Tal Baumel

417 total citations
4 papers, 78 citations indexed

About

Tal Baumel is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Tal Baumel has authored 4 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Management Science and Operations Research. Recurrent topics in Tal Baumel's work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Advanced Text Analysis Techniques (2 papers). Tal Baumel is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Advanced Text Analysis Techniques (2 papers). Tal Baumel collaborates with scholars based in Israel and United Kingdom. Tal Baumel's co-authors include Michael Elhadad, Matan Eyal and Raphael Cohen and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Tal Baumel

4 papers receiving 71 citations

Peers

Tal Baumel
Livio Baldini Soares United States
Sebastin Santy United States
Xiang Lorraine Li United States
Eric Mitchell United States
Livio Baldini Soares United States
Tal Baumel
Citations per year, relative to Tal Baumel Tal Baumel (= 1×) peers Livio Baldini Soares

Countries citing papers authored by Tal Baumel

Since Specialization
Citations

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

Fields of papers citing papers by Tal Baumel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tal Baumel

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

All Works

4 of 4 papers shown
1.
Eyal, Matan, Tal Baumel, & Michael Elhadad. (2019). Question Answering as an Automatic Evaluation Metric for News Article Summarization. 3938–3948. 50 indexed citations
2.
Baumel, Tal, Raphael Cohen, & Michael Elhadad. (2016). Topic Concentration in Query Focused Summarization Datasets. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 19 indexed citations
3.
Baumel, Tal, Raphael Cohen, & Michael Elhadad. (2016). Sentence Embedding Evaluation Using Pyramid Annotation. 145–149. 1 indexed citations
4.
Baumel, Tal, Raphael Cohen, & Michael Elhadad. (2014). Query-Chain Focused Summarization. 913–922. 8 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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