A. P. Thakoor
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Electronic, Optical and Magnetic Materials
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Co-authors
- K. L. ChopraT. DaudS. K. KhannaS. ThakoorJohn LambeAdrian StoicaDidier KeymeulenR. Zebulum
- Topics
- Advanced Memory and Neural Computing (22 papers)Neural Networks and Applications (21 papers)Metallic Glasses and Amorphous Alloys (8 papers)
- Cited by
- Artificial IntelligenceElectronic, Optical and Magnetic MaterialsElectrical and Electronic Engineering
- Partner nations
- United StatesIndia
In The Last Decade
A. P. Thakoor
62 papers receiving 753 citations
Peers
Comparison fields: 5 of 63
- Electrical and Electronic Engineering 463
- Artificial Intelligence 289
- Electronic, Optical and Magnetic Materials 163
- Materials Chemistry 145
- Atomic and Molecular Physics, and Optics 139
Countries citing papers authored by A. P. Thakoor
This map shows the geographic impact of A. P. Thakoor'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 A. P. Thakoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. P. Thakoor more than expected).
Fields of papers citing papers by A. P. Thakoor
This network shows the impact of papers produced by A. P. Thakoor. 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 A. P. Thakoor. The network helps show where A. P. Thakoor may publish in the future.
Co-authorship network of co-authors of A. P. Thakoor
This figure shows the co-authorship network connecting the top 25 collaborators of A. P. Thakoor. A scholar is included among the top collaborators of A. P. Thakoor 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 A. P. Thakoor. A. P. Thakoor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 64x64 Analog Input Array for 3-Dimensional Neural Network Processor | 2 |
| 3 | Learning in neural networks: VLSI implementation strategies | 4 |
| 4 | 5 | |
| 5 | 2 | |
| 6 | Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks | 17 |
| 7 | Programmable Synaptic Chip for Electronic Neural Networks | 3 |
| 8 | 13 | |
| 9 | 28 | |
| 10 | 17 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | Structural and thermal analysis studies of magnetron sputter-deposited amorphous metallic /Mo0.6Ru0.4/82B18 films | 1 |
| 14 | 4 | |
| 15 | 17 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 33 | |
| 19 | 10 | |
| 20 | 75 |
About A. P. Thakoor
A. P. Thakoor is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 67 papers that have together received 831 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Neural Networks and Applications (21 papers) and Metallic Glasses and Amorphous Alloys (8 papers). The work is most often cited by research in Artificial Intelligence (289 citations), Electronic, Optical and Magnetic Materials (163 citations) and Electrical and Electronic Engineering (463 citations). A. P. Thakoor has collaborated with scholars based in United States and India. Frequent co-authors include K. L. Chopra, T. Daud, S. K. Khanna, S. Thakoor, John Lambe, Adrian Stoica, Didier Keymeulen, R. Zebulum, James L. Lamb and Silvio P. Eberhardt. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Journal of The Electrochemical Society.
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.