Mojtaba Nayyeri

713 total citations
25 papers, 305 citations indexed

About

Mojtaba Nayyeri is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Mojtaba Nayyeri has authored 25 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Mojtaba Nayyeri's work include Advanced Graph Neural Networks (17 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (6 papers). Mojtaba Nayyeri is often cited by papers focused on Advanced Graph Neural Networks (17 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (6 papers). Mojtaba Nayyeri collaborates with scholars based in Germany, United Kingdom and Iran. Mojtaba Nayyeri's co-authors include Jens Lehmann, Chengjin Xu, Yung-Yu Chen, Sahar Vahdati, Steffen Staab, Francesco Osborne, Angelo A. Salatino, Enrico Motta, Diego Reforgiato Recupero and Shirui Pan and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Mojtaba Nayyeri

24 papers receiving 304 citations

Peers

Mojtaba Nayyeri

CVPR

MSOR

SNP

Jatin Chauhan India

Deepak Nathani United States

Charu Sharma India

Zhanqiu Zhang China

David Vickrey United States

Siwei Rao China

Xisen Jin United States

Shib Sankar Dasgupta United States

Swayambhu Nath Ray India

Jatin Chauhan India

Mojtaba Nayyeri

344 ×1.2

52 ×0.9

CVPR

70 ×1.3

MSOR

38 ×1.0

50 ×1.7

SNP

Citations per year, relative to Mojtaba Nayyeri Mojtaba Nayyeri (= 1×) peers Jatin Chauhan

Countries citing papers authored by Mojtaba Nayyeri

Since Specialization

Citations

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

Fields of papers citing papers by Mojtaba Nayyeri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mojtaba Nayyeri

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

All Works

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20 of 20 papers shown

Pan, Jiaxin, Mojtaba Nayyeri, Yinan Li, & Steffen Staab. (2024). HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8913–8920. 1 indexed citations

Nayyeri, Mojtaba, et al.. (2024). Correntropy-Based Constructive One Hidden Layer Neural Network. Algorithms. 17(1). 49–49. 1 indexed citations

Nayyeri, Mojtaba, et al.. (2024). NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9205–9213. 4 indexed citations

Nayyeri, Mojtaba, et al.. (2023). Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories. ePrints Soton (University of Southampton). 1 indexed citations

Xiong, Bo, Mojtaba Nayyeri, Shirui Pan, & Steffen Staab. (2023). Shrinking Embeddings for Hyper-Relational Knowledge Graphs. Griffith Research Online (Griffith University, Queensland, Australia). 13306–13320. 9 indexed citations

Nayyeri, Mojtaba, et al.. (2023). Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. arXiv (Cornell University). 2600–2610. 12 indexed citations

Nayyeri, Mojtaba, et al.. (2023). Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. UvA-DARE (University of Amsterdam). 5228–5231. 5 indexed citations

Nayyeri, Mojtaba, et al.. (2022). Language Model Guided Knowledge Graph Embeddings. IEEE Access. 10. 76008–76020. 9 indexed citations

Nayyeri, Mojtaba, et al.. (2022). Hyperbolic Embedding Inference for Structured Multi-Label Prediction. 33016–33028.

10.

Xiong, Bo, Shichao Zhu, Mojtaba Nayyeri, et al.. (2022). Ultrahyperbolic Knowledge Graph Embeddings. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2130–2139. 21 indexed citations

11.

Xu, Chengjin, Mojtaba Nayyeri, Yung-Yu Chen, & Jens Lehmann. (2022). Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion. IEEE Transactions on Knowledge and Data Engineering. 1–1. 13 indexed citations

12.

Nayyeri, Mojtaba, et al.. (2021). Knowledge Graph Representation Learning using Ordinary Differential Equations. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 9529–9548. 8 indexed citations

13.

Xu, Chengjin, Yung-Yu Chen, Mojtaba Nayyeri, & Jens Lehmann. (2021). Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2569–2578. 42 indexed citations

14.

Nayyeri, Mojtaba, et al.. (2021). 5F Knowledge Graph Embeddings with Projective Transformations. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 18 indexed citations

15.

Nayyeri, Mojtaba, et al.. (2021). Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade. Scientometrics. 126(9). 8129–8151. 4 indexed citations

16.

Xu, Chengjin, et al.. (2020). TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1583–1593. 65 indexed citations

17.

Nayyeri, Mojtaba, et al.. (2020). 3D Learning and Reasoning in Link Prediction Over Knowledge Graphs. IEEE Access. 8. 196459–196471. 1 indexed citations

18.

Xu, Chengjin, et al.. (2020). Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding. Lecture notes in computer science. 654–671. 8 indexed citations

19.

Nayyeri, Mojtaba, et al.. (2017). Universal Approximation by Using the Correntropy Objective Function. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 4515–4521. 11 indexed citations

20.

Nayyeri, Mojtaba, et al.. (2016). Cancer classification by correntropy-based sparse compact incremental learning machine. Gene Reports. 3. 31–38. 4 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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