Iman Sharifi

402 citations
32 papers · 283 · h-index 9

Impact in

Papers in

Iman Sharifi

23 papers receiving 279 citations

Peers

Iman Sharifi
Comparison fields: 5 of 63
  • Control and Systems Engineering 105
  • Cardiology and Cardiovascular Medicine 63
  • Computer Networks and Communications 58
  • Automotive Engineering 25
  • Biomedical Engineering 84
Replace Takashi Okada with:
Takashi Okada Japan
Ravi Raj Poland
Rohan Banerjee India
Mohamed A. El-Brawany Egypt
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Eoin Brophy Ireland
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Citations per field
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Citations per year

Countries citing papers authored by Iman Sharifi

Since Specialization
Citations

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

Fields of papers citing papers by Iman Sharifi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Iman Sharifi, 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 Iman Sharifi Line = papers co-authored together Iman Sharifi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201879
2 202035
3 202328
4 201723
5
Anti-ribosomal P antibodies related to depression in early clinical course of systemic lupus erythematosus.
201321
6 202220
7 202318
8 202012
9 202110
10 20216
11 20245
12 20154
13 20214
14 20213
15 20243
16 20212
17 20212
18 20232
19 20231
20 20201

About Iman Sharifi

Iman Sharifi is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Computer Networks and Communications and Rehabilitation, having authored 32 papers that have together received 283 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (8 papers), Smart Grid Security and Resilience (8 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Traffic control and management (6 papers), Robotic Path Planning Algorithms (4 papers), Stroke Rehabilitation and Recovery (4 papers), Microgrid Control and Optimization (3 papers) and Adaptive Control of Nonlinear Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (105 citations), Cardiology and Cardiovascular Medicine (63 citations), Computer Networks and Communications (58 citations), Automotive Engineering (25 citations) and Biomedical Engineering (84 citations). Iman Sharifi has collaborated with scholars based in Iran and United States. Frequent co-authors include Sobhan Goudarzi, Heidar Ali Talebi, Ali Doustmohammadi, Mansoor Karimifar, Davood Bizari, Seifollah Gholampour, Mahyar Naraghi, Mohammad Bagher Menhaj, Emily White and Mohsen Sharifi. Their work appears in journals such as ISA Transactions, European Journal of Control, Artificial Intelligence in Medicine, Control Engineering Practice and Vascular Medicine.

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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