Yara Rizk

418 total citations
5 papers, 9 citations indexed

About

Yara Rizk is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Yara Rizk has authored 5 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Management Information Systems. Recurrent topics in Yara Rizk's work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Robotic Process Automation Applications (1 paper). Yara Rizk is often cited by papers focused on Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Robotic Process Automation Applications (1 paper). Yara Rizk collaborates with scholars based in United States. Yara Rizk's co-authors include Vatche Isahagian, Vinod Muthusamy, Parijat Dube and Evelyn Duesterwald and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence and Academia Letters.

In The Last Decade

Yara Rizk

2 papers receiving 7 citations

Peers

Yara Rizk
Bobby Bachry Indonesia
Karen Dalton United States
Nestor Maslej United States
Shripad V. Godbole United States
J. Weng Switzerland
Bobby Bachry Indonesia
Yara Rizk
Citations per year, relative to Yara Rizk Yara Rizk (= 1×) peers Bobby Bachry

Countries citing papers authored by Yara Rizk

Since Specialization
Citations

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

Fields of papers citing papers by Yara Rizk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yara Rizk

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

All Works

5 of 5 papers shown
1.
Rizk, Yara, et al.. (2024). Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18065–18072. 1 indexed citations
2.
Rizk, Yara, et al.. (2023). TaskDiff: A Similarity Metric for Task-Oriented Conversations. 16234–16240.
3.
Muthusamy, Vinod, et al.. (2023). Towards large language model-based personal agents in the enterprise: Current trends and open problems. 6909–6921. 7 indexed citations
4.
Muthusamy, Vinod, Vatche Isahagian, & Yara Rizk. (2021). Bringing BPM to the Workers: Towards Worker-Centric Management of Business Processes.. 34–39. 1 indexed citations
5.
Rizk, Yara, et al.. (2021). Beirut Post Blast Reconstruction. Academia Letters.

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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