Ehsan Zare Borzeshi

420 total citations
14 papers, 231 citations indexed

About

Ehsan Zare Borzeshi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ehsan Zare Borzeshi has authored 14 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Ehsan Zare Borzeshi's work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Text and Document Classification Technologies (4 papers). Ehsan Zare Borzeshi is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Text and Document Classification Technologies (4 papers). Ehsan Zare Borzeshi collaborates with scholars based in Australia, Switzerland and United Kingdom. Ehsan Zare Borzeshi's co-authors include Massimo Piccardi, Kaspar Riesen, Raghavendra Chalapathy, Horst Bunke, Richard Yi Da Xu, Oscar Perez‐Concha, Adil Bagirov, Sattar Seifollahi, Nazanin Esmaili and Mubarak Shah and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and IEEE Signal Processing Letters.

In The Last Decade

Ehsan Zare Borzeshi

14 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ehsan Zare Borzeshi Australia 9 180 78 53 13 11 14 231
Aaditya Prakash United States 5 124 0.7× 55 0.7× 92 1.7× 9 0.7× 14 1.3× 14 225
Mostofa Patwary United States 5 147 0.8× 32 0.4× 39 0.7× 16 1.2× 22 2.0× 10 210
Shunxin Xiao China 7 154 0.9× 31 0.4× 85 1.6× 41 3.2× 8 0.7× 13 222
Jiawei Han China 5 105 0.6× 48 0.6× 57 1.1× 3 0.2× 14 1.3× 9 168
Su-In Lee United States 3 95 0.5× 32 0.4× 41 0.8× 8 0.6× 13 1.2× 3 150
Carl Sable United States 8 244 1.4× 57 0.7× 100 1.9× 13 1.0× 31 2.8× 12 337
Polykarpos Meladianos France 7 213 1.2× 39 0.5× 53 1.0× 68 5.2× 9 0.8× 11 260
Cheol-Young Ock South Korea 9 219 1.2× 25 0.3× 29 0.5× 10 0.8× 6 0.5× 38 260
Fabrizio Frasca Italy 2 101 0.6× 18 0.2× 50 0.9× 27 2.1× 8 0.7× 5 144
Hongyang Zhang China 7 178 1.0× 13 0.2× 56 1.1× 5 0.4× 17 1.5× 29 227

Countries citing papers authored by Ehsan Zare Borzeshi

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Zare Borzeshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ehsan Zare Borzeshi. 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 Ehsan Zare Borzeshi. The network helps show where Ehsan Zare Borzeshi may publish in the future.

Co-authorship network of co-authors of Ehsan Zare Borzeshi

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

All Works

14 of 14 papers shown
1.
Borzeshi, Ehsan Zare, et al.. (2022). Regressing Word and Sentence Embeddings for Low-Resource Neural Machine Translation. IEEE Transactions on Artificial Intelligence. 4(3). 450–463. 4 indexed citations
2.
Borzeshi, Ehsan Zare, et al.. (2019). . UTS ePRESS (University of Technology Sydney). 430–436. 4 indexed citations
3.
Borzeshi, Ehsan Zare, et al.. (2018). BiLSTM-CRF for Persian Named-Entity Recognition ArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset.. Language Resources and Evaluation. 15 indexed citations
4.
Borzeshi, Ehsan Zare, et al.. (2018). English-Basque Statistical and Neural Machine Translation. Language Resources and Evaluation. 4 indexed citations
5.
Evans, Sue, Declan G. Murphy, Ian D. Davis, et al.. (2018). Interpolation to define clinical tumor stage in prostate cancer using clinical description of digital rectal examination. Asia-Pacific Journal of Clinical Oncology. 14(5). e412–e419. 1 indexed citations
6.
Seifollahi, Sattar, Adil Bagirov, Ehsan Zare Borzeshi, & Massimo Piccardi. (2018). A simulated annealing‐based maximum‐margin clustering algorithm. Computational Intelligence. 35(1). 23–41. 10 indexed citations
7.
Borzeshi, Ehsan Zare, et al.. (2017). Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition. Journal of Biomedical Informatics. 76. 102–109. 93 indexed citations
8.
Piccardi, Massimo, et al.. (2017). Sequential Labeling With Structural SVM Under Nondecomposable Losses. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 4177–4188. 8 indexed citations
9.
Borzeshi, Ehsan Zare, et al.. (2016). PersoNER: Persian named-entity recognition. UTS ePRESS (University of Technology Sydney). 3381–3389. 10 indexed citations
10.
Chalapathy, Raghavendra, Ehsan Zare Borzeshi, & Massimo Piccardi. (2016). Bidirectional LSTM-CRF for Clinical Concept Extraction. arXiv (Cornell University). 7–12. 23 indexed citations
11.
Borzeshi, Ehsan Zare, Afshin Dehghan, Massimo Piccardi, & Mubarak Shah. (2014). Complex event recognition by latent temporal models of concepts. Journal of International Crisis and Risk Communication Research. 2373–2377. 3 indexed citations
12.
Borzeshi, Ehsan Zare, Oscar Perez‐Concha, Richard Yi Da Xu, & Massimo Piccardi. (2013). Joint Action Segmentation and Classification by an Extended Hidden Markov Model. IEEE Signal Processing Letters. 20(12). 1207–1210. 16 indexed citations
13.
Borzeshi, Ehsan Zare, Massimo Piccardi, Kaspar Riesen, & Horst Bunke. (2012). Discriminative prototype selection methods for graph embedding. Pattern Recognition. 46(6). 1648–1657. 31 indexed citations
14.
Borzeshi, Ehsan Zare, Massimo Piccardi, & Richard Yi Da Xu. (2011). A discriminative prototype selection approach for graph embedding in human action recognition. 9. 1295–1301. 9 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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