Hatem Hmam

821 citations
35 papers · 645 · h-index 14

Impact in

Papers in

Hatem Hmam

34 papers receiving 624 citations

Peers

Hatem Hmam
Comparison fields: 5 of 54
  • Aerospace Engineering 337
  • Artificial Intelligence 274
  • Ocean Engineering 119
  • Computer Networks and Communications 168
  • Electrical and Electronic Engineering 388
Replace Hailiang Xiong with:
Hailiang Xiong China
John Stephen Mullane Singapore
Joshua J. Morales United States
Ngoc Hung Nguyen Australia
Xingli Gan China
Camillo Gentile United States
T. Sathyan Australia
Yifeng Zhou Canada
Henri Nurminen Finland
Jonas Callmer Sweden
Hatem Hmam relative to Hailiang Xiong China Hailiang Xiong's profile →
Citations per field
00.5×2×2.8×
Hailiang Xiong · 1×
Citations per year

Countries citing papers authored by Hatem Hmam

Since Specialization
Citations

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

Fields of papers citing papers by Hatem Hmam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Hatem Hmam, 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 Hatem Hmam Line = papers co-authored together Hatem Hmam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007157
2 201678
3 201952
4 201933
5 200731
6 201029
7 200929
8 201024
9 201123
10 201623
11 201622
12 201720
13 201615
14
Quadratic Optimisation with One Quadratic Equality Constraint
201014
15 200913
16 20179
17 20059
18 20238
19 20007
20 20167

About Hatem Hmam

Hatem Hmam is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 35 papers that have together received 645 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (25 papers), Robotics and Sensor-Based Localization (17 papers), Target Tracking and Data Fusion in Sensor Networks (12 papers), Speech and Audio Processing (6 papers), Distributed Sensor Networks and Detection Algorithms (4 papers), Distributed Control Multi-Agent Systems (4 papers), Direction-of-Arrival Estimation Techniques (3 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Aerospace Engineering (337 citations), Artificial Intelligence (274 citations), Ocean Engineering (119 citations), Computer Networks and Communications (168 citations) and Electrical and Electronic Engineering (388 citations). Hatem Hmam has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Kutluyıl Doğançay, Sheng Xu, Brian D. O. Anderson, Mengbin Ye, Iman Shames, Barış Fi̇dan, Samuel Picton Drake, Anthony Finn, Dale Lawrence and Jun Li. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Signal Processing, Sensors, IEEE Transactions on Signal Processing and Image and Vision Computing.

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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