Henry Alexander Ignatious
- Automotive Engineering top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Control and Systems Engineering
- Co-authors
- Manzoor Ahmed KhanHesham El‐SayedParag KulkarniM. Jalal KhanSumbal MalikSalah BouktifBassem MokhtarAnas Mahmoud
- Topics
- Advanced Neural Network Applications (4 papers)Vehicular Ad Hoc Networks (VANETs) (3 papers)Autonomous Vehicle Technology and Safety (3 papers)
- Partner nations
- United Arab EmiratesEgypt
In The Last Decade
Henry Alexander Ignatious
11 papers receiving 238 citations
Peers
Comparison fields: 5 of 56
- Automotive Engineering 100
- Electrical and Electronic Engineering 73
- Computer Vision and Pattern Recognition 49
- Artificial Intelligence 47
- Control and Systems Engineering 41
Countries citing papers authored by Henry Alexander Ignatious
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 77 | |
| 9 | 91 | |
| 10 | 8 | |
| 11 | 35 | |
| 12 | 1 |
About Henry Alexander Ignatious
Henry Alexander Ignatious is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 12 papers that have together received 249 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Automotive Engineering (100 citations), Computer Vision and Pattern Recognition (49 citations) and Transportation (13 citations). Henry Alexander Ignatious has collaborated with scholars based in United Arab Emirates and Egypt. Frequent 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. Their work appears in journals such as Sensors, ACM Computing Surveys and Remote Sensing.
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.