Shima Asaadi

602 total citations
7 papers, 35 citations indexed

About

Shima Asaadi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Shima Asaadi has authored 7 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Molecular Biology. Recurrent topics in Shima Asaadi's work include Topic Modeling (4 papers), Natural Language Processing Techniques (2 papers) and Advanced Graph Neural Networks (2 papers). Shima Asaadi is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (2 papers) and Advanced Graph Neural Networks (2 papers). Shima Asaadi collaborates with scholars based in Germany, Iran and United States. Shima Asaadi's co-authors include Saif M. Mohammad, Svetlana Kiritchenko, Anna Sauer, Sebastian Rudolph, Tobias Heimann, Oladimeji Farri, Juan E. Gilbert and Thomas A. Runkler and has published in prestigious journals such as Natural Language Engineering and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

In The Last Decade

Shima Asaadi

7 papers receiving 32 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shima Asaadi Germany 4 26 9 4 4 1 7 35
Jesujoba O. Alabi Germany 4 23 0.9× 5 0.6× 3 0.8× 3 0.8× 13 30
Jessy Lin United States 3 29 1.1× 8 0.9× 3 0.8× 3 0.8× 1 1.0× 4 38
Po-Wei Wang United States 4 26 1.0× 8 0.9× 5 1.3× 8 2.0× 12 36
Massih-Réza Amini France 5 25 1.0× 8 0.9× 3 0.8× 9 2.3× 2 2.0× 6 40
Chris Waites United States 3 23 0.9× 8 0.9× 2 0.5× 2 0.5× 1 1.0× 4 24
Pierre Stock France 3 37 1.4× 15 1.7× 3 0.8× 2 0.5× 4 59
Xianyan Jia China 3 15 0.6× 5 0.6× 3 0.8× 6 1.5× 3 19
Vlastimil Klíma Norway 3 20 0.8× 12 1.3× 3 0.8× 5 1.3× 4 29
Lan Nguyen Australia 4 24 0.9× 4 0.4× 5 1.3× 7 1.8× 6 27
Zhangyue Yin China 4 44 1.7× 11 1.2× 2 0.5× 5 1.3× 2 2.0× 13 60

Countries citing papers authored by Shima Asaadi

Since Specialization
Citations

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

Fields of papers citing papers by Shima Asaadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shima Asaadi

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

All Works

7 of 7 papers shown
1.
Asaadi, Shima, et al.. (2024). Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering. 246–257. 5 indexed citations
2.
Sauer, Anna, et al.. (2022). Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 108–119. 9 indexed citations
3.
Asaadi, Shima, et al.. (2021). Compositional matrix-space models of language: Definitions, properties, and learning methods. Natural Language Engineering. 29(1). 32–80. 1 indexed citations
4.
Asaadi, Shima, Saif M. Mohammad, & Svetlana Kiritchenko. (2019). Big. 505–516. 13 indexed citations
5.
Asaadi, Shima & Sebastian Rudolph. (2017). Gradual Learning of Matrix-Space Models of Language for Sentiment Analysis. 178–185. 2 indexed citations
6.
Asaadi, Shima, et al.. (2017). TQOR: Trust-based QoS-oriented routing in cognitive MANETs. 36. 1–8. 4 indexed citations
7.
Asaadi, Shima & Sebastian Rudolph. (2016). On the Correspondence between Compositional Matrix-Space Models of Language and Weighted Automata. 70–74. 1 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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