Tamir Hassan

440 citations
20 papers · 227 indexed · h-index 6
Topics
Web Data Mining and Analysis (7 papers)Handwritten Text Recognition Techniques (6 papers)Mathematics, Computing, and Information Processing (3 papers)
Journals
Computational IntelligenceInfoscience (Ecole Polytechnique Fédérale de Lausanne)SZTAKI Publication Repository (Hungarian Academy of Sciences)

In The Last Decade

Tamir Hassan

20 papers receiving 208 citations

Peers

Tamir Hassan
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 163
  • Artificial Intelligence 75
  • Information Systems 51
  • Management Science and Operations Research 35
  • Computer Networks and Communications 18
Replace Yueqi Xie with:
Yueqi Xie Hong Kong
Ermelinda Oro Italy
Andrew Zhai United States
Leixian Shen China
Dmitry Kislyuk United States
Chenyi Lei China
Alexey Borisov Netherlands
Francesco Piccinno Italy
Liana Stănescu Romania
Yongjun Chen China
Tamir Hassan relative to Yueqi Xie Hong Kong Yueqi Xie's profile →
Citations per field
00.5×10×20×32×
Yueqi Xie · 1×
Citations per year

Countries citing papers authored by Tamir Hassan

Since Specialization
Citations

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

Fields of papers citing papers by Tamir Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamir Hassan

This figure shows the co-authorship network connecting the top 25 collaborators of Tamir Hassan. A scholar is included among the top collaborators of Tamir Hassan 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 Tamir Hassan. Tamir Hassan 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
#WorkIndexed citations
1 3
2 1
3 2
4 2
5 3
6 4
7 3
8 110
9 43
10 1
11 3
12 2
13 7
14 19
15 11
16 2
17 2
18 7
19
Intelligent Wrapping from PDF Documents
1
20
Distributed archive and web services for radio stations
1

About Tamir Hassan

Tamir Hassan is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Computer Science Applications, having authored 20 papers that have together received 227 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Handwritten Text Recognition Techniques (6 papers) and Mathematics, Computing, and Information Processing (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (163 citations), Management Science and Operations Research (35 citations) and Artificial Intelligence (75 citations). Tamir Hassan has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Ermelinda Oro, Giorgio Orsi, Robert Baumgartner, Roger D. Hersch, Andrew Hunter, Changyuan Hu, Rares Vernica, Jerry Liu, Lei Liu and Shanchan Wu. Their work appears in journals such as Computational Intelligence, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and SZTAKI Publication Repository (Hungarian Academy of Sciences).

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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