Saeedeh Shekarpour

948 total citations
29 papers, 402 citations indexed

About

Saeedeh Shekarpour is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Saeedeh Shekarpour has authored 29 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Saeedeh Shekarpour's work include Semantic Web and Ontologies (16 papers), Topic Modeling (11 papers) and Natural Language Processing Techniques (7 papers). Saeedeh Shekarpour is often cited by papers focused on Semantic Web and Ontologies (16 papers), Topic Modeling (11 papers) and Natural Language Processing Techniques (7 papers). Saeedeh Shekarpour collaborates with scholars based in Germany, United States and Iran. Saeedeh Shekarpour's co-authors include Sören Auer, Axel-Cyrille Ngonga Ngomo, Amit Sheth, Edgard Marx, S.D. Katebi, Jens Lehmann, Kuldeep Singh, Manas Gaur, Amélie Gyrard and María-Esther Vidal and has published in prestigious journals such as IEEE Intelligent Systems, Journal of Web Semantics and Semantic Web.

In The Last Decade

Saeedeh Shekarpour

27 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saeedeh Shekarpour Germany 13 334 111 68 53 48 29 402
Roxane Segers Netherlands 9 320 1.0× 82 0.7× 52 0.8× 48 0.9× 25 0.5× 19 375
Laurens De Vocht Belgium 8 204 0.6× 105 0.9× 57 0.8× 36 0.7× 67 1.4× 37 265
Ndapa Nakashole United States 11 612 1.8× 130 1.2× 94 1.4× 51 1.0× 32 0.7× 31 641
Lynda Tamine France 11 186 0.6× 154 1.4× 28 0.4× 49 0.9× 25 0.5× 44 322
Pavan Kapanipathi United States 12 323 1.0× 95 0.9× 37 0.5× 23 0.4× 18 0.4× 38 377
Jagdev Bhogal United Kingdom 7 251 0.8× 176 1.6× 28 0.4× 37 0.7× 54 1.1× 18 376
Michiel Hildebrand Netherlands 11 194 0.6× 122 1.1× 27 0.4× 33 0.6× 35 0.7× 24 295
Andrés García-Silva Spain 6 586 1.8× 224 2.0× 115 1.7× 78 1.5× 37 0.8× 20 682
Ricardo Usbeck Germany 14 467 1.4× 85 0.8× 111 1.6× 36 0.7× 15 0.3× 42 515
Alex Ratner United States 9 278 0.8× 64 0.6× 59 0.9× 49 0.9× 28 0.6× 11 372

Countries citing papers authored by Saeedeh Shekarpour

Since Specialization
Citations

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

Fields of papers citing papers by Saeedeh Shekarpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeedeh Shekarpour

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

All Works

20 of 20 papers shown
1.
Singh, Kuldeep, et al.. (2021). CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 15 indexed citations
2.
Singh, Kuldeep, et al.. (2021). HopfE. 89–99. 5 indexed citations
3.
4.
Singh, Kuldeep, et al.. (2019). Context-aware Entity Linking with Attentive Neural Networks on Wikidata Knowledge Graph. arXiv (Cornell University). 1 indexed citations
5.
Sheth, Amit, et al.. (2019). Extending Patient-Chatbot Experience with Internet-of-Things and Background Knowledge: Case Studies with Healthcare Applications. IEEE Intelligent Systems. 34(4). 24–30. 21 indexed citations
6.
Gaur, Manas, Saeedeh Shekarpour, Amélie Gyrard, & Amit Sheth. (2019). Empathi: An Ontology for Emergency Managing and Planning About Hazard Crisis. Scholar Commons (University of South Carolina). 396–403. 32 indexed citations
7.
Shekarpour, Saeedeh, et al.. (2019). CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation on Relations. Journal of Bioresource Management. 3. 385–391. 5 indexed citations
8.
Shekarpour, Saeedeh, et al.. (2018). Publishing a Quality Context-aware Annotated Corpus and Lexicon for Harassment Research.. arXiv (Cornell University). 1 indexed citations
9.
Gyrard, Amélie, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, & Amit Sheth. (2018). Personalized Health Knowledge Graph.. PubMed. 2317. 22 indexed citations
10.
Singh, Kuldeep, María-Esther Vidal, Jens Lehmann, et al.. (2018). Why Reinvent the Wheel. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1247–1256. 30 indexed citations
11.
Marx, Edgard, Saeedeh Shekarpour, Tommaso Soru, et al.. (2017). Torpedo: Improving the State-of-the-Art RDF Dataset Slicing. 658. 149–156. 3 indexed citations
12.
Shekarpour, Saeedeh, et al.. (2016). Question Answering on Linked Data. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 693–698. 9 indexed citations
13.
Shekarpour, Saeedeh, Edgard Marx, Axel-Cyrille Ngonga Ngomo, & Sören Auer. (2015). SINA: Semantic Interpretation of User Queries for Question Answering on Interlinked Data. SSRN Electronic Journal. 1 indexed citations
14.
Shekarpour, Saeedeh, Edgard Marx, Axel-Cyrille Ngonga Ngomo, & Sören Auer. (2014). SINA: Semantic interpretation of user queries for question answering on interlinked data. Journal of Web Semantics. 30. 39–51. 61 indexed citations
15.
Marx, Edgard, Saeedeh Shekarpour, Sören Auer, & Axel-Cyrille Ngonga Ngomo. (2013). Large-Scale RDF Dataset Slicing. 228–235. 6 indexed citations
16.
Shekarpour, Saeedeh, Konrad Höffner, Jens Lehmann, & Sören Auer. (2013). Keyword Query Expansion on Linked Data Using Linguistic and Semantic Features. 6792. 191–197. 16 indexed citations
17.
Shekarpour, Saeedeh, Sören Auer, Axel-Cyrille Ngonga Ngomo, et al.. (2013). Generating SPARQL queries using templates. Web Intelligence and Agent Systems An International Journal. 11(3). 283–295. 7 indexed citations
18.
Marx, Edgard, Tommaso Soru, Saeedeh Shekarpour, et al.. (2013). TOWARDS AN EFFICIENT RDF DATASET SLICING. International Journal of Semantic Computing. 7(4). 455–477. 1 indexed citations
19.
Shekarpour, Saeedeh, Axel-Cyrille Ngonga Ngomo, & Sören Auer. (2012). Query Segmentation and Resource Disambiguation Leveraging Background Knowledge.. 82–93. 4 indexed citations
20.
Shekarpour, Saeedeh & S.D. Katebi. (2009). Modeling and evaluation of trust with an extension in semantic web. Journal of Web Semantics. 8(1). 26–36. 38 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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