Kaleel Mahmood
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Ocean Engineering top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Marten van DijkUlrich RührmairPhuong Ha NguyenDurga Prasad SahooChenglu JinJun‐Hong CuiXiaoka XuShengli Zhou
- Topics
- Adversarial Robustness in Machine Learning (8 papers)Advanced Memory and Neural Computing (4 papers)Advanced Malware Detection Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Signal ProcessingIEEE Access
- Partner nations
- United StatesNetherlandsMexico
In The Last Decade
Kaleel Mahmood
15 papers receiving 420 citations
Peers
Comparison fields: 5 of 54
- Electrical and Electronic Engineering 230
- Hardware and Architecture 189
- Artificial Intelligence 160
- Ocean Engineering 80
- Cellular and Molecular Neuroscience 66
Countries citing papers authored by Kaleel Mahmood
This map shows the geographic impact of Kaleel Mahmood'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 Kaleel Mahmood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaleel Mahmood more than expected).
Fields of papers citing papers by Kaleel Mahmood
This network shows the impact of papers produced by Kaleel Mahmood. 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 Kaleel Mahmood. The network helps show where Kaleel Mahmood may publish in the future.
Co-authorship network of co-authors of Kaleel Mahmood
This figure shows the co-authorship network connecting the top 25 collaborators of Kaleel Mahmood. A scholar is included among the top collaborators of Kaleel Mahmood 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 Kaleel Mahmood. Kaleel Mahmood 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 | 0 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 113 | |
| 11 | 14 | |
| 12 | 110 | |
| 13 | 39 | |
| 14 | 9 | |
| 15 | 29 | |
| 16 | 80 | |
| 17 | Study of class-D power amplifiers for underwater acoustic OFDM transmissions | 4 |
About Kaleel Mahmood
Kaleel Mahmood is a scholar working on Health Informatics, Signal Processing and Hardware and Architecture, having authored 17 papers that have together received 431 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Advanced Memory and Neural Computing (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (189 citations), Ocean Engineering (80 citations) and Artificial Intelligence (160 citations). Kaleel Mahmood has collaborated with scholars based in United States, Netherlands and Mexico. Frequent co-authors include Marten van Dijk, Ulrich Rührmair, Phuong Ha Nguyen, Durga Prasad Sahoo, Chenglu Jin, Jun‐Hong Cui, Xiaoka Xu, Shengli Zhou, Patrick Carroll and Hao Zhou. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Access.
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.