Umair Mujtaba Qureshi

778 total citations · 1 hit paper
19 papers, 566 citations indexed

About

Umair Mujtaba Qureshi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Ocean Engineering. According to data from OpenAlex, Umair Mujtaba Qureshi has authored 19 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 8 papers in Electrical and Electronic Engineering and 6 papers in Ocean Engineering. Recurrent topics in Umair Mujtaba Qureshi's work include Indoor and Outdoor Localization Technologies (6 papers), Underwater Vehicles and Communication Systems (6 papers) and IoT and Edge/Fog Computing (5 papers). Umair Mujtaba Qureshi is often cited by papers focused on Indoor and Outdoor Localization Technologies (6 papers), Underwater Vehicles and Communication Systems (6 papers) and IoT and Edge/Fog Computing (5 papers). Umair Mujtaba Qureshi collaborates with scholars based in Hong Kong, Pakistan and United States. Umair Mujtaba Qureshi's co-authors include Faisal Karim Shaikh, Emad Felemban, Adil A. Sheikh, Saad Qaisar, Gerhard P. Hancke, S.N.R. Shah, Daniel J. Carter, Bruno Silva, Joseph Kee‐Yin Ng and Ulf Jennehag and has published in prestigious journals such as IEEE Access, Sensors and Computers & Security.

In The Last Decade

Umair Mujtaba Qureshi

18 papers receiving 543 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Underwater Sensor Network Applications: A Comprehensive Survey

2015 312 citations Emad Felemban, Faisal Karim Shaikh et al. International Journal of Distributed Sensor Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Umair Mujtaba Qureshi Hong Kong	10	372	342	285	108	52	19	566
Lina Pu United States	16	432 1.2×	585 1.7×	372 1.3×	51 0.5×	18 0.3×	62	822
Adil A. Sheikh Saudi Arabia	11	466 1.3×	371 1.1×	354 1.2×	147 1.4×	46 0.9×	27	673
Tuleen Boutaleb United Kingdom	14	494 1.3×	467 1.4×	524 1.8×	135 1.3×	21 0.4×	46	746
Chenyu Zhang China	10	428 1.2×	529 1.5×	471 1.7×	70 0.6×	23 0.4×	21	747
Hüseyin Uğur Yıldız Türkiye	13	149 0.4×	376 1.1×	457 1.6×	55 0.5×	23 0.4×	36	583
Yu Luo United States	15	381 1.0×	572 1.7×	347 1.2×	38 0.4×	18 0.3×	58	743
Emrecan Demirors United States	17	414 1.1×	518 1.5×	247 0.9×	71 0.7×	16 0.3×	47	726
Kalapraveen Bagadi India	14	52 0.1×	356 1.0×	232 0.8×	14 0.1×	46 0.9×	64	506
Haiyan Zhao China	11	196 0.5×	133 0.4×	90 0.3×	30 0.3×	23 0.4×	34	356

Countries citing papers authored by Umair Mujtaba Qureshi

Since Specialization

Citations

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

Fields of papers citing papers by Umair Mujtaba Qureshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umair Mujtaba Qureshi. 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 Umair Mujtaba Qureshi. The network helps show where Umair Mujtaba Qureshi may publish in the future.

Co-authorship network of co-authors of Umair Mujtaba Qureshi

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

All Works

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19 of 19 papers shown

Qureshi, Umair Mujtaba, et al.. (2024). Investigating Object Sorting Problem for Smart Garbage Application. 1–7. 1 indexed citations

Qureshi, Umair Mujtaba, et al.. (2024). IoT Based Home Automation System: Security Challenges and Solutions. 1–6. 4 indexed citations

Qureshi, Umair Mujtaba, et al.. (2022). Keypad entry inference with sensor fusion from mobile and smart wearables. Computers & Security. 121. 102837–102837. 2 indexed citations

Qureshi, Umair Mujtaba, et al.. (2022). An IoT-based Optimized Watering System for Plants. 257–262. 3 indexed citations

Qureshi, Umair Mujtaba, et al.. (2021). Mobile Proximity Channel Using Vibration. 1. 1–6. 1 indexed citations

Qureshi, Umair Mujtaba, et al.. (2021). Feasibility of Inferring Keystrokes on PEDs with Sensors from Mobile Devices. 5. 1–6.

Hancke, Gerhard P., et al.. (2020). Behavioral Acoustic Emanations: Attack and Verification of PIN Entry Using Keypress Sounds. Sensors. 20(11). 3015–3015. 11 indexed citations

Qureshi, Umair Mujtaba, et al.. (2019). An Efficient Wireless Control Plane for Software Defined Networking in Data Center Networks. IEEE Access. 7. 58158–58167. 1 indexed citations

Qureshi, Umair Mujtaba, et al.. (2019). Indoor Localization using Wireless Fidelity (WiFi) and Bluetooth Low Energy (BLE) signals. 2232–2237. 14 indexed citations

10.

Qureshi, Umair Mujtaba, et al.. (2019). Evaluating the Implications of Varying Bluetooth Low Energy (BLE) Transmission Power Levels on Wireless Indoor Localization Accuracy and Precision. Sensors. 19(15). 3282–3282. 33 indexed citations

11.

Carter, Daniel J., Bruno Silva, Umair Mujtaba Qureshi, & Gerhard P. Hancke. (2018). An Ultrasonic Indoor Positioning System for Harsh Environments. 5215–5220. 10 indexed citations

12.

Qureshi, Umair Mujtaba, et al.. (2018). Problem of Wireless Fingerprint Duplication in Fingerprinting Based Indoor Localization. 2. 1270–1275. 5 indexed citations

13.

Qureshi, Umair Mujtaba, et al.. (2018). Analysis of Bluetooth Low Energy (BLE) Based Indoor Localization System with Multiple Transmission Power Levels. 1302–1307. 21 indexed citations

14.

Qureshi, Umair Mujtaba, et al.. (2018). Survey of Proximity Based Authentication Mechanisms for the Industrial Internet of Things. 10 indexed citations

15.

Qureshi, Umair Mujtaba, et al.. (2018). Wireless Control Plane for Software Defined Networks (SDN) in Data Centers. 2. 1–6. 1 indexed citations

16.

Qureshi, Umair Mujtaba, et al.. (2017). Tracking Indoor Activities of Patients with Mild Cognitive Impairment Using Motion Sensors. 431–438. 13 indexed citations

17.

Qureshi, Umair Mujtaba, et al.. (2016). Performance Analysis of Proximity and Light Sensors for Smart Parking. Procedia Computer Science. 83. 385–392. 30 indexed citations

18.

Qureshi, Umair Mujtaba, Faisal Karim Shaikh, S.N.R. Shah, et al.. (2016). RF Path and Absorption Loss Estimation for Underwater Wireless Sensor Networks in Different Water Environments. Sensors. 16(6). 890–890. 94 indexed citations

19.

Felemban, Emad, Faisal Karim Shaikh, Umair Mujtaba Qureshi, Adil A. Sheikh, & Saad Qaisar. (2015). Underwater Sensor Network Applications: A Comprehensive Survey. International Journal of Distributed Sensor Networks. 11(11). 896832–896832. 312 indexed citations breakdown →

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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