S.R. Safavian

3.8k citations
11 papers · 2.7k indexed · 1 hit paper · h-index 4
Topics
Image and Signal Denoising Methods (6 papers)Advanced Image Processing Techniques (4 papers)Sparse and Compressive Sensing Techniques (2 papers)
Journals
IEEE Signal Processing LettersIEEE Transactions on Systems Man and CyberneticsProceedings of International Conference on Neural Networks (ICNN'97)
Partner nations
United States

In The Last Decade

S.R. Safavian

8 papers receiving 2.6k citations

Hit Papers

A survey of decision tree classifier methodology1991202620022014199150010001.5k2.0k2.5k

Peers

S.R. Safavian
Comparison fields: 5 of 189
  • Artificial Intelligence 1.0k
  • Information Systems 394
  • Computer Vision and Pattern Recognition 357
  • Signal Processing 271
  • Computer Networks and Communications 264
Replace Mark Goadrich with:
Mark Goadrich United States
Marina Sokolova Canada
Juan J. Rodríguez Spain
Khalid Mohiuddin Saudi Arabia
Claude Sammut Australia
Panagiotis Pintelas Greece
David W. Opitz United States
Ferat Sahin United States
Manuel Fernández-Delgado Spain
Abhishek Jain United States
S.R. Safavian relative to Mark Goadrich United States Mark Goadrich's profile →
Citations per field
00.5×1.5×
Mark Goadrich · 1×
Citations per year

Countries citing papers authored by S.R. Safavian

Since Specialization
Citations

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

Fields of papers citing papers by S.R. Safavian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.R. Safavian. 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 S.R. Safavian. The network helps show where S.R. Safavian may publish in the future.

Co-authorship network of co-authors of S.R. Safavian

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 4
5 11
6 0
7 1
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10
A survey of decision tree classifier methodologybreakdown →
2672
11
Topics in inference and decision-making with partial knowledge
1

About S.R. Safavian

S.R. Safavian is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability and Media Technology, having authored 11 papers that have together received 2.7k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Advanced Image Processing Techniques (4 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Health Information Management (128 citations) and Signal Processing (271 citations). S.R. Safavian has collaborated with scholars based in United States. Frequent co-authors include D. A. Landgrebe, Hamid R. Rabiee, R.L. Kashyap, Ali Mirani and M.F. Tenorio. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Systems Man and Cybernetics and Proceedings of International Conference on Neural Networks (ICNN'97).

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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