Faheem Zafari

3.0k total citations · 1 hit paper
17 papers, 1.9k citations indexed

About

Faheem Zafari is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Faheem Zafari has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 11 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Faheem Zafari's work include Indoor and Outdoor Localization Technologies (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Energy Load and Power Forecasting (4 papers). Faheem Zafari is often cited by papers focused on Indoor and Outdoor Localization Technologies (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Energy Load and Power Forecasting (4 papers). Faheem Zafari collaborates with scholars based in United States, United Kingdom and Pakistan. Faheem Zafari's co-authors include Kin K. Leung, Athanasios Gkelias, Ioannis Papapanagiotou, Casimer DeCusatis, Baijian Yang, Thomas J. Hacker, Gul Muhammad Khan, Sahibzada Ali Mahmud, Michael Devetsikiotis and Jian Li and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Transactions on Network and Service Management and IEEE Transactions on Control of Network Systems.

In The Last Decade

Faheem Zafari

17 papers receiving 1.8k citations

Hit Papers

A Survey of Indoor Locali... 2019 2026 2021 2023 2019 500 1000 1.5k
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.

  1. A Survey of Indoor Localization Systems and Technologies
    2019 1.6k citations Faheem Zafari, Athanasios Gkelias et al. IEEE Communications Surveys & Tutorials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faheem Zafari United States 9 1.6k 671 517 507 321 17 1.9k
Athanasios Gkelias United Kingdom 16 1.8k 1.2× 658 1.0× 849 1.6× 510 1.0× 295 0.9× 39 2.2k
Ronald Raulefs Germany 17 2.0k 1.3× 640 1.0× 628 1.2× 838 1.7× 301 0.9× 89 2.3k
Kamol Kaemarungsi Thailand 13 1.4k 0.9× 604 0.9× 567 1.1× 340 0.7× 456 1.4× 66 1.6k
Manikanta Kotaru United States 10 1.8k 1.2× 526 0.8× 458 0.9× 391 0.8× 520 1.6× 13 2.0k
Anthony Lo Netherlands 13 1.4k 0.9× 512 0.8× 846 1.6× 338 0.7× 226 0.7× 59 1.8k
Youwen Yi China 14 1.7k 1.1× 684 1.0× 635 1.2× 250 0.5× 548 1.7× 22 1.8k
Yanying Gu Netherlands 5 1.1k 0.7× 508 0.8× 340 0.7× 318 0.6× 204 0.6× 7 1.2k
Santiago Mazuelas Spain 20 1.7k 1.1× 755 1.1× 656 1.3× 489 1.0× 337 1.0× 56 2.0k
Youssef Nasser Lebanon 14 1.1k 0.7× 297 0.4× 600 1.2× 359 0.7× 193 0.6× 81 1.5k
Rafael Berkvens Belgium 22 1.2k 0.8× 250 0.4× 480 0.9× 350 0.7× 138 0.4× 81 1.7k

Countries citing papers authored by Faheem Zafari

Since Specialization
Citations

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

Fields of papers citing papers by Faheem Zafari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faheem Zafari

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

All Works

17 of 17 papers shown
1.
Zafari, Faheem, Prithwish Basu, Kin K. Leung, et al.. (2023). Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach. IEEE Transactions on Network and Service Management. 20(4). 4369–4382. 3 indexed citations
2.
Zafari, Faheem, Kin K. Leung, Don Towsley, et al.. (2020). Let’s Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds. IEEE Transactions on Network and Service Management. 18(2). 2107–2122. 14 indexed citations
3.
Zafari, Faheem, Jian Li, Kin K. Leung, Don Towsley, & Ananthram Swami. (2019). Optimal Energy Consumption for Communication, Computation, Caching, and Quality Guarantee. IEEE Transactions on Control of Network Systems. 7(1). 151–162. 5 indexed citations
4.
Zafari, Faheem, Athanasios Gkelias, & Kin K. Leung. (2019). A Survey of Indoor Localization Systems and Technologies. IEEE Communications Surveys & Tutorials. 21(3). 2568–2599. 1585 indexed citations breakdown →
5.
Li, Jian, et al.. (2019). Jointly Compressing and Caching Data in Wireless Sensor Networks. 57–62. 1 indexed citations
6.
Li, Jian, Faheem Zafari, Don Towsley, Kin K. Leung, & Ananthram Swami. (2018). Joint Data Compression and Caching. 229–240. 3 indexed citations
7.
Zafari, Faheem, Ioannis Papapanagiotou, & Thomas J. Hacker. (2018). A Novel Bayesian Filtering Based Algorithm for RSSI-Based Indoor Localization. 1–7. 19 indexed citations
8.
Zafari, Faheem, Jian Li, Kin K. Leung, Don Towsley, & Ananthram Swami. (2018). Optimal Energy Tradeoff Among Communication, Computation and Caching with QoI-Guarantee. arXiv (Cornell University). 37. 1–7. 1 indexed citations
9.
Zafari, Faheem, Ioannis Papapanagiotou, Michael Devetsikiotis, & Thomas J. Hacker. (2017). Enhancing the accuracy of iBeacons for indoor proximity-based services. 1–7. 24 indexed citations
10.
Zafari, Faheem, et al.. (2016). Predicting network attack patterns in SDN using machine learning approach. 167–172. 114 indexed citations
11.
Khan, Gul Muhammad & Faheem Zafari. (2016). Dynamic feedback neuro-evolutionary networks for forecasting the highly fluctuating electrical loads. Genetic Programming and Evolvable Machines. 17(4). 391–408. 3 indexed citations
12.
Zafari, Faheem & Ioannis Papapanagiotou. (2015). Enhancing iBeacon Based Micro-Location with Particle Filtering. 2015 IEEE Global Communications Conference (GLOBECOM). 83. 1–7. 55 indexed citations
13.
Zafari, Faheem, et al.. (2014). Evolving Recurrent Neural Network using Cartesian Genetic Programming to Predict The Trend in Foreign Currency Exchange Rates. Applied Artificial Intelligence. 28(6). 597–628. 5 indexed citations
14.
Zafari, Faheem & Ioannis Papapanagiotou. (2014). Enhancing iBeacon Based Micro-Location with Particle Filtering. 2015 IEEE Global Communications Conference (GLOBECOM). 83. 1–7. 7 indexed citations
15.
Khan, Gul Muhammad, Faheem Zafari, & Sahibzada Ali Mahmud. (2013). Very Short Term Load Forecasting Using Cartesian Genetic Programming Evolved Recurrent Neural Networks (CGPRNN). 152–155. 13 indexed citations
16.
Khan, Gul Muhammad, et al.. (2013). Electrical load forecasting using fast learning recurrent neural networks. 1–6. 9 indexed citations
17.
Zafari, Faheem, et al.. (2013). Future Clients' Requests Estimation for Dynamic Resource Allocation in Cloud Data Center Using CGPANN. 2. 331–334. 8 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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