Hossein Sadr

578 citations
21 papers · 408 · h-index 11

Impact in

Papers in

    • Sentiment Analysis and Opinion Mining 7
    • Topic Modeling 6
    • Text and Document Classification Technologies 5
    • Semantic Web and Ontologies 3
    • Imbalanced Data Classification Techniques 2
    • Data Management and Algorithms 4

Hossein Sadr

18 papers receiving 397 citations

Peers

Hossein Sadr
Comparison fields: 5 of 65
  • Artificial Intelligence 272
  • Health Information Management 17
  • Signal Processing 42
  • Experimental and Cognitive Psychology 41
  • Computer Networks and Communications 72
Replace Loukas Ilias with:
Loukas Ilias Greece
Elizabeth Sherly India
A.K.M. Muzahidul Islam Bangladesh
Jubilant J Kizhakkethottam India
Pradeep Bedi India
G S Pradeep Ghantasala India
Muhammad Abul Hassan Pakistan
Piet Verhoeve Belgium
Suja Palaniswamy India
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Citations per field
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Citations per year

Countries citing papers authored by Hossein Sadr

Since Specialization
Citations

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

Fields of papers citing papers by Hossein Sadr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Hossein Sadr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hossein Sadr Line = papers co-authored together Hossein Sadr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202071
2 201966
3 202247
4 202335
5 202235
6 202133
7 202233
8 202118
9 201918
10 201514
11 202014
12
Improving the Performance of Text Sentiment Analysis using Deep Convolutional Neural Network Integrated with Hierarchical Attention Layer
20195
13 20215
14 20194
15
The Significance of Semantic Relatedness and Similarity measures in Geographic Information Science
20153
16 20153
17
Categorization of Persian Detached Handwritten Letters Using Intelligent Combinations of Classifiers
20172
18 20222
19 20250
20 20250

About Hossein Sadr

Hossein Sadr is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 408 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (6 papers), Text and Document Classification Technologies (5 papers), Data Management and Algorithms (4 papers), Geographic Information Systems Studies (3 papers), Semantic Web and Ontologies (3 papers), Imbalanced Data Classification Techniques (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Artificial Intelligence (272 citations), Health Information Management (17 citations), Signal Processing (42 citations), Experimental and Cognitive Psychology (41 citations) and Computer Networks and Communications (72 citations). Hossein Sadr has collaborated with scholars based in Iran. Frequent co-authors include Mir Mohsen Pedram, Mohammad Teshnehlab, S. A. Edalatpanah, Seyed Abolghasem Mirroshandel, Zahra Dalili Kajan, Ehsan Kozegar and Arsalan Salari. Their work appears in journals such as Neural Processing Letters, Scientific Reports, Multimedia Tools and Applications, IEEE Access and Computational Intelligence and Neuroscience.

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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