Tareq Abed Mohammed
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging top 5%
- Signal Processing top 5%
- Co-authors
- Saad AlbawiSaad Al-AzawiOğuz BayatShadi AljawarnehOsman N. UçanWail MardiniOsman Nuri UçanAbdullahi Abdu İbrahim
- Topics
- Big Data and Business Intelligence (4 papers)Data Mining Algorithms and Applications (3 papers)Solar Radiation and Photovoltaics (2 papers)
- Journals
- IEEE AccessOptikBMC Medical Imaging
In The Last Decade
Tareq Abed Mohammed
17 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Artificial Intelligence 754
- Computer Vision and Pattern Recognition 708
- Electrical and Electronic Engineering 274
- Radiology, Nuclear Medicine and Imaging 262
- Signal Processing 217
Countries citing papers authored by Tareq Abed Mohammed
This map shows the geographic impact of Tareq Abed Mohammed'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 Tareq Abed Mohammed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tareq Abed Mohammed more than expected).
Fields of papers citing papers by Tareq Abed Mohammed
This network shows the impact of papers produced by Tareq Abed Mohammed. 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 Tareq Abed Mohammed. The network helps show where Tareq Abed Mohammed may publish in the future.
Co-authorship network of co-authors of Tareq Abed Mohammed
This figure shows the co-authorship network connecting the top 25 collaborators of Tareq Abed Mohammed. A scholar is included among the top collaborators of Tareq Abed Mohammed 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 Tareq Abed Mohammed. Tareq Abed Mohammed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 24 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 16 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | Intelligent enhancement of organization work flow and work scheduling using machine learning approach tree algorithm | 4 |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 2 | |
| 17 | Understanding of a convolutional neural networkbreakdown → | 2553 |
| 18 | 9 |
About Tareq Abed Mohammed
Tareq Abed Mohammed is a scholar working on Management Information Systems, Information Systems and Toxicology, having authored 18 papers that have together received 2.7k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (4 papers), Data Mining Algorithms and Applications (3 papers) and Solar Radiation and Photovoltaics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (708 citations), Artificial Intelligence (754 citations) and Signal Processing (217 citations). Tareq Abed Mohammed has collaborated with scholars based in Iraq, Türkiye and Jordan. Frequent co-authors include Saad Albawi, Saad Al-Azawi, Oğuz Bayat, Shadi Aljawarneh, Osman N. Uçan, Wail Mardini, Osman Nuri Uçan, Abdullahi Abdu İbrahim, Oğuz Ata and Shaaban Sahmoud. Their work appears in journals such as IEEE Access, Optik and BMC Medical Imaging.
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.