Mohammad Nabati

503 citations
11 papers · 325 · h-index 9

Impact in

Papers in

Mohammad Nabati

11 papers receiving 315 citations

Peers

Mohammad Nabati
Comparison fields: 5 of 59
  • Signal Processing 86
  • Computer Vision and Pattern Recognition 106
  • Computer Networks and Communications 99
  • Electrical and Electronic Engineering 196
  • Ocean Engineering 43
Replace Jianyang Ding with:
Jianyang Ding China
Valentín Barral Spain
Sangjoon Park South Korea
Gabriel Deak United Kingdom
Steven M. Hernandez United States
Kurt Derr United States
François Marx France
Yanzi Zhu United States
Kalapraveen Bagadi India
Mohammad Nabati relative to Jianyang Ding China Jianyang Ding's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammad Nabati

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Nabati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Mohammad Nabati, 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 Nabati Line = papers co-authored together Mohammad Nabati links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 202184
2 202177
3 202049
4 202240
5 202017
6 201916
7 202313
8 202110
9 20228
10 20237
11 20224

About Mohammad Nabati

Mohammad Nabati is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Ocean Engineering, having authored 11 papers that have together received 325 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (9 papers), Speech and Audio Processing (4 papers), Context-Aware Activity Recognition Systems (3 papers), Wireless Networks and Protocols (3 papers), Underwater Vehicles and Communication Systems (2 papers), Energy Efficient Wireless Sensor Networks (1 paper), Distributed Sensor Networks and Detection Algorithms (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Signal Processing (86 citations), Computer Vision and Pattern Recognition (106 citations), Computer Networks and Communications (99 citations), Electrical and Electronic Engineering (196 citations) and Ocean Engineering (43 citations). Mohammad Nabati has collaborated with scholars based in United Kingdom and Iran. Frequent co-authors include Seyed Ali Ghorashi, Reza Shahbazian, David Windridge, Vahid Shah‐Mansouri, Hossein Shahverdi and Vahideh Moghtadaiee. Their work appears in journals such as Sensors, Ad Hoc Networks, Machine Learning, Expert Systems with Applications and IEEE Communications Letters.

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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