Henry Alexander Ignatious

425 total citations
12 papers, 249 citations indexed

About

Henry Alexander Ignatious is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Henry Alexander Ignatious has authored 12 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Automotive Engineering. Recurrent topics in Henry Alexander Ignatious's work include Advanced Neural Network Applications (4 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). Henry Alexander Ignatious is often cited by papers focused on Advanced Neural Network Applications (4 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). Henry Alexander Ignatious collaborates with scholars based in United Arab Emirates and Egypt. Henry Alexander Ignatious's co-authors include Manzoor Ahmed Khan, Hesham El‐Sayed, Parag Kulkarni, M. Jalal Khan, Sumbal Malik, Salah Bouktif, Bassem Mokhtar, Anas Mahmoud and Moumena Chaqfeh and has published in prestigious journals such as Sensors, ACM Computing Surveys and Remote Sensing.

In The Last Decade

Henry Alexander Ignatious

11 papers receiving 238 citations

Peers

Henry Alexander Ignatious
Sumbal Malik United Arab Emirates
Vipin Kumar Kukkala United States
Mhafuzul Islam United States
Baofu Wu China
Aidan Murphy Ireland
Shaoshan Liu United States
Kaige Tan Sweden
Sumbal Malik United Arab Emirates
Henry Alexander Ignatious
Citations per year, relative to Henry Alexander Ignatious Henry Alexander Ignatious (= 1×) peers Sumbal Malik

Countries citing papers authored by Henry Alexander Ignatious

Since Specialization
Citations

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

Fields of papers citing papers by Henry Alexander Ignatious

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henry Alexander Ignatious. 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 Henry Alexander Ignatious. The network helps show where Henry Alexander Ignatious may publish in the future.

Co-authorship network of co-authors of Henry Alexander Ignatious

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

All Works

12 of 12 papers shown
1.
Ignatious, Henry Alexander & Hesham El‐Sayed. (2024). Usecase-based generic framework for data fusion and decision making in Autonomous Driving. 180–185.
2.
Ignatious, Henry Alexander, Hesham El‐Sayed, & Salah Bouktif. (2024). IFGAN—A Novel Image Fusion Model to Fuse 3D Point Cloud Sensory Data. Journal of Sensor and Actuator Networks. 13(1). 15–15. 4 indexed citations
3.
Ignatious, Henry Alexander, Hesham El‐Sayed, Manzoor Ahmed Khan, & Bassem Mokhtar. (2023). Analyzing Factors Influencing Situation Awareness in Autonomous Vehicles—A Survey. Sensors. 23(8). 4075–4075. 12 indexed citations
4.
Ignatious, Henry Alexander, Hesham El‐Sayed, & Parag Kulkarni. (2023). Multilevel Data and Decision Fusion Using Heterogeneous Sensory Data for Autonomous Vehicles. Remote Sensing. 15(9). 2256–2256. 13 indexed citations
5.
Ignatious, Henry Alexander, Hesham El‐Sayed, Manzoor Ahmed Khan, & Parag Kulkarni. (2023). A Generic Framework for Enhancing Autonomous Driving Accuracy through Multimodal Data Fusion. Applied Sciences. 13(19). 10749–10749. 3 indexed citations
6.
Ignatious, Henry Alexander, et al.. (2023). An Innovative Arabic Text Sign Language Translator. Procedia Computer Science. 224. 425–430. 4 indexed citations
7.
Ignatious, Henry Alexander, et al.. (2022). A Novel Micro-services Cluster Based Framework for Autonomous Vehicles. 16(2). 1 indexed citations
8.
Khan, Manzoor Ahmed, et al.. (2022). Level-5 Autonomous Driving—Are We There Yet? A Review of Research Literature. ACM Computing Surveys. 55(2). 1–38. 77 indexed citations
9.
Ignatious, Henry Alexander, et al.. (2022). An overview of sensors in Autonomous Vehicles. Procedia Computer Science. 198. 736–741. 91 indexed citations
10.
Ignatious, Henry Alexander, et al.. (2021). An Advanced Deep Learning Approach for Multi-Object Counting in Urban Vehicular Environments. Future Internet. 13(12). 306–306. 8 indexed citations
11.
El‐Sayed, Hesham, Henry Alexander Ignatious, Parag Kulkarni, & Salah Bouktif. (2020). Machine learning based trust management framework for vehicular networks. Vehicular Communications. 25. 100256–100256. 35 indexed citations
12.
Ignatious, Henry Alexander, et al.. (2019). Exploiting Vehicular Communication Systems for Improving Traffic Safety in the UAE. 2. 1–6. 1 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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