Shiva Taslimipoor

617 total citations
16 papers, 108 citations indexed

About

Shiva Taslimipoor is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Shiva Taslimipoor has authored 16 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Information Systems. Recurrent topics in Shiva Taslimipoor's work include Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Text Readability and Simplification (5 papers). Shiva Taslimipoor is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Text Readability and Simplification (5 papers). Shiva Taslimipoor collaborates with scholars based in United Kingdom, Spain and Iran. Shiva Taslimipoor's co-authors include Le An Ha, Ruslan Mitkov, Christopher Davis, Christopher Bryant, Zheng Yuan, Marek Rei, Victoria Yaneva, Afsaneh Fazly, Constantin Orǎsan and Ekaterina Kochmar and has published in prestigious journals such as Language Resources and Evaluation, Spiral (Imperial College London) and Apollo (University of Cambridge).

In The Last Decade

Shiva Taslimipoor

16 papers receiving 97 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiva Taslimipoor United Kingdom 7 103 11 7 5 4 16 108
Marco Antonio Sobrevilla Cabezudo Brazil 6 85 0.8× 5 0.5× 8 1.1× 6 1.2× 2 0.5× 18 89
Yadollah Yaghoobzadeh Iran 5 59 0.6× 9 0.8× 14 2.0× 2 0.4× 3 0.8× 18 69
Annemarie Friedrich Germany 7 114 1.1× 18 1.6× 5 0.7× 4 0.8× 3 0.8× 31 133
Maximin Coavoux France 4 85 0.8× 5 0.5× 9 1.3× 11 2.2× 3 0.8× 11 98
Sven Hartrumpf Germany 7 102 1.0× 5 0.5× 5 0.7× 16 3.2× 3 0.8× 25 114
Agata Savary France 5 76 0.7× 5 0.5× 4 0.6× 6 1.2× 5 1.3× 24 84
Emma Barker United Kingdom 7 56 0.5× 5 0.5× 9 1.3× 16 3.2× 5 1.3× 14 75
Hélène Bonneau-Maynard France 10 269 2.6× 17 1.5× 9 1.3× 8 1.6× 3 0.8× 23 281
Irene Russo Italy 6 124 1.2× 14 1.3× 6 0.9× 6 1.2× 6 1.5× 25 140
Mikael Kågebäck Sweden 5 134 1.3× 4 0.4× 10 1.4× 14 2.8× 8 2.0× 6 149

Countries citing papers authored by Shiva Taslimipoor

Since Specialization
Citations

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

Fields of papers citing papers by Shiva Taslimipoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiva Taslimipoor

This figure shows the co-authorship network connecting the top 25 collaborators of Shiva Taslimipoor. A scholar is included among the top collaborators of Shiva Taslimipoor 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 Shiva Taslimipoor. Shiva Taslimipoor 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.
Davis, Christopher, Andrew Caines, Ove Andersen, et al.. (2024). Prompting open-source and commercial language models for grammatical error correction of English learner text. 11952–11967. 2 indexed citations
2.
Felice, Mariano, Shiva Taslimipoor, & Paula Buttery. (2022). Constructing Open Cloze Tests Using Generation and Discrimination Capabilities of Transformers. Findings of the Association for Computational Linguistics: ACL 2022. 1263–1273. 1 indexed citations
3.
Yuan, Zheng, Shiva Taslimipoor, Christopher Davis, & Christopher Bryant. (2021). Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8722–8736. 18 indexed citations
4.
Strohmaier, David, et al.. (2020). SeCoDa: Sense Complexity Dataset. Language Resources and Evaluation. 5962–5967. 4 indexed citations
5.
Taslimipoor, Shiva, Sara Bahaadini, & Ekaterina Kochmar. (2020). MTLB-STRUCT @Parseme 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models. 142–148. 1 indexed citations
6.
Rei, Marek, et al.. (2020). Verbal Multiword Expressions for Identification of Metaphor. Spiral (Imperial College London). 2890–2895. 13 indexed citations
7.
Taslimipoor, Shiva, et al.. (2020). Incorporating Multiword Expressions in Phrase Complexity Estimation. 14–19. 1 indexed citations
8.
9.
Taslimipoor, Shiva, et al.. (2019). . Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 2692–2698. 10 indexed citations
10.
Taslimipoor, Shiva, et al.. (2019). Cross-lingual Transfer Learning and Multitask Learning for Capturing Multiword Expressions. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 155–161. 6 indexed citations
11.
Taslimipoor, Shiva, et al.. (2018). WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony. 553–559. 20 indexed citations
12.
Taslimipoor, Shiva, et al.. (2018). Wolves at SemEval-2018 Task 10: Semantic Discrimination based on Knowledge and Association. Apollo (University of Cambridge). 972–976. 1 indexed citations
13.
Taslimipoor, Shiva, et al.. (2017). Using Gaze Data to Predict Multiword Expressions. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 601–609. 11 indexed citations
14.
Taslimipoor, Shiva, et al.. (2017). Investigating the Opacity of Verb-Noun Multiword Expression Usages in Context. 133–138. 2 indexed citations
15.
Taslimipoor, Shiva, et al.. (2015). MiniExperts: An SVM Approach for Measuring Semantic Textual Similarity. 96–101. 12 indexed citations
16.
Taslimipoor, Shiva, Afsaneh Fazly, & Ali Hamzeh. (2012). Using Noun Similarity to Adapt an Acceptability Measure for Persian Light Verb Constructions. Language Resources and Evaluation. 670–673. 3 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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