Mohammad Ehsan Basiri

2.7k citations
35 papers · 1.9k indexed · 1 hit paper · h-index 20

Mohammad Ehsan Basiri

34 papers receiving 1.8k citations

Hit Papers

ABCDM: An Attention-based Bidirectional CNN-RNN Deep Mode...5192020202620222024100200300400500

Peers

Mohammad Ehsan Basiri
Comparison fields: 5 of 129
  • Artificial Intelligence 1.4k
  • Health Information Management 74
  • Information Systems 302
  • Health Informatics 18
  • Computer Vision and Pattern Recognition 214
Replace Ioannis Hatzilygeroudis with:
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Sivaji Bandyopadhyay India
Jun Yan China
Mehrdad Rostami Finland
Shaoxiong Ji Finland
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Liang Yao China
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Joachim Diederich Australia
Asad Masood Khattak United Arab Emirates
Mohammad Ehsan Basiri relative to Ioannis Hatzilygeroudis Greece Ioannis Hatzilygeroudis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammad Ehsan Basiri

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ehsan Basiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mohammad Ehsan Basiri, 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 Mohammad Ehsan Basiri Line = papers co-authored together Mohammad Ehsan Basiri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20211
3 20218
4 2021133
5 202035
6 20204
7 20206
8 202080
9 202049
10 201965
11 201919
12 201920
13 201919
14 201928
15 201729
16 20170
17 201431
18 201437
19 2009159
20 2008287

About Mohammad Ehsan Basiri

Mohammad Ehsan Basiri is a scholar working on Artificial Intelligence, Information Systems and Health Information Management, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (21 papers), Advanced Text Analysis Techniques (13 papers), Topic Modeling (9 papers), Spam and Phishing Detection (7 papers), Text and Document Classification Technologies (7 papers), Metaheuristic Optimization Algorithms Research (3 papers), Digital Marketing and Social Media (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Health Information Management (74 citations) and Information Systems (302 citations). Mohammad Ehsan Basiri has collaborated with scholars based in Iran, Australia and Canada. Frequent co-authors include Shahla Nemati, Moloud Abdar, Nasser Ghasem-Aghaee, Mehdi Hosseinzadeh Aghdam, U. Rajendra Acharya, Erik Cambria, Somayeh Asadi, Ahmad Reza Naghsh‐Nilchi, Mehmet Akif Çifçi and Xujuan Zhou. Their work appears in journals such as Expert Systems with Applications, Journal of Information Science, Knowledge-Based Systems, IEEE Access and Enterprise Information Systems.

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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