Mohammad Nabati

503 total citations
11 papers, 325 citations indexed

About

Mohammad Nabati is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad Nabati has authored 11 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 5 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad Nabati's work include Indoor and Outdoor Localization Technologies (9 papers), Speech and Audio Processing (4 papers) and Context-Aware Activity Recognition Systems (3 papers). Mohammad Nabati is often cited by papers focused on Indoor and Outdoor Localization Technologies (9 papers), Speech and Audio Processing (4 papers) and Context-Aware Activity Recognition Systems (3 papers). Mohammad Nabati collaborates with scholars based in United Kingdom and Iran. Mohammad Nabati's co-authors include Seyed Ali Ghorashi, Reza Shahbazian, David Windridge, Vahid Shah‐Mansouri, Vahideh Moghtadaiee and Hossein Shahverdi and has published in prestigious journals such as Expert Systems with Applications, Sensors and Machine Learning.

In The Last Decade

Mohammad Nabati

11 papers receiving 315 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mohammad Nabati United Kingdom	9	196	106	99	86	67	11	325
Jianyang Ding China	8	175 0.9×	123 1.2×	84 0.8×	46 0.5×	30 0.4×	15	294
Valentín Barral Spain	9	229 1.2×	38 0.4×	83 0.8×	35 0.4×	55 0.8×	13	314
Steven M. Hernandez United States	9	211 1.1×	71 0.7×	142 1.4×	42 0.5×	32 0.5×	21	300
Sangjoon Park South Korea	12	282 1.4×	70 0.7×	159 1.6×	56 0.7×	62 0.9×	37	427
Kalapraveen Bagadi India	14	356 1.8×	46 0.4×	232 2.3×	37 0.4×	49 0.7×	64	506
Jeffrey D. Poston United States	8	245 1.3×	52 0.5×	191 1.9×	32 0.4×	47 0.7×	12	383
Ehab Salahat United Arab Emirates	9	204 1.0×	98 0.9×	105 1.1×	35 0.4×	41 0.6×	34	355
Gabriel Deak United Kingdom	4	276 1.4×	64 0.6×	98 1.0×	54 0.6×	30 0.4×	5	349

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-authorship network of co-authors of Mohammad Nabati

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

All Works

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11 of 11 papers shown

Nabati, Mohammad, et al.. (2023). CSI-Based Human Activity Recognition Using Multi-Input Multi-Output Autoencoder and Fine-Tuning. Sensors. 23(7). 3591–3591. 7 indexed citations

Shahverdi, Hossein, et al.. (2023). Enhancing CSI-Based Human Activity Recognition by Edge Detection Techniques. Information. 14(7). 404–404. 13 indexed citations

Nabati, Mohammad, Seyed Ali Ghorashi, & Reza Shahbazian. (2022). Confidence interval estimation for fingerprint-based indoor localization. Ad Hoc Networks. 134. 102877–102877. 4 indexed citations

Nabati, Mohammad & Seyed Ali Ghorashi. (2022). A real-time fingerprint-based indoor positioning using deep learning and preceding states. Expert Systems with Applications. 213. 118889–118889. 40 indexed citations

Nabati, Mohammad, Seyed Ali Ghorashi, & Reza Shahbazian. (2022). JGPR: a computationally efficient multi-target Gaussian process regression algorithm. Machine Learning. 111(6). 1987–2010. 8 indexed citations

Nabati, Mohammad, et al.. (2021). Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation. Computer Networks. 194. 108149–108149. 84 indexed citations

Nabati, Mohammad, et al.. (2021). CSI-Based Human Activity Recognition using Convolutional Neural Networks. Nova Science Publishers (Nova Science Publishers, Inc.). 7–12. 10 indexed citations

Shahbazian, Reza, et al.. (2021). A CSI-Based Human Activity Recognition Using Deep Learning. Sensors. 21(21). 7225–7225. 77 indexed citations

Nabati, Mohammad, Seyed Ali Ghorashi, & Reza Shahbazian. (2020). Joint Coordinate Optimization in Fingerprint-Based Indoor Positioning. IEEE Communications Letters. 25(4). 1192–1195. 17 indexed citations

10.

Nabati, Mohammad, et al.. (2020). Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach. IEEE Sensors Letters. 4(4). 1–4. 49 indexed citations

11.

Nabati, Mohammad, et al.. (2019). A novel smartphone application for indoor positioning of users based on machine learning. Goldsmiths (University of London). 430–437. 16 indexed citations

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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