Thomas Jacob Koickal
- Electrical and Electronic Engineering
- Biomedical Engineering
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Co-authors
- Alister HamiltonLuiz Carlos GouveiaJulian W. GardnerTim PearceJames A. CovingtonRebecca CheungLeslie S. SmithShiwei Wang
- Topics
- Advanced Memory and Neural Computing (10 papers)Analog and Mixed-Signal Circuit Design (7 papers)Neuroscience and Neural Engineering (7 papers)
- Journals
- NeurocomputingIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)IEEE Transactions on Circuits and Systems I Regular Papers
- Partner nations
- United KingdomChinaIndia
In The Last Decade
Thomas Jacob Koickal
25 papers receiving 463 citations
Peers
Comparison fields: 5 of 71
- Electrical and Electronic Engineering 300
- Biomedical Engineering 164
- Cellular and Molecular Neuroscience 111
- Cognitive Neuroscience 106
- Artificial Intelligence 55
Countries citing papers authored by Thomas Jacob Koickal
This map shows the geographic impact of Thomas Jacob Koickal'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 Thomas Jacob Koickal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Jacob Koickal more than expected).
Fields of papers citing papers by Thomas Jacob Koickal
This network shows the impact of papers produced by Thomas Jacob Koickal. 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 Thomas Jacob Koickal. The network helps show where Thomas Jacob Koickal may publish in the future.
Co-authorship network of co-authors of Thomas Jacob Koickal
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Jacob Koickal. A scholar is included among the top collaborators of Thomas Jacob Koickal 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 Thomas Jacob Koickal. Thomas Jacob Koickal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 4 | |
| 3 | 26 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 10 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 2005 2ND INTERNATINOAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING | 2 |
| 18 | 11 | |
| 19 | 19 | |
| 20 | 8 |
About Thomas Jacob Koickal
Thomas Jacob Koickal is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 25 papers that have together received 478 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Analog and Mixed-Signal Circuit Design (7 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Sensory Systems (46 citations), Bioengineering (39 citations) and Cellular and Molecular Neuroscience (111 citations). Thomas Jacob Koickal has collaborated with scholars based in United Kingdom, China and India. Frequent co-authors include Alister Hamilton, Luiz Carlos Gouveia, Julian W. Gardner, Tim Pearce, James A. Covington, Rebecca Cheung, Leslie S. Smith, Shiwei Wang, Enrico Mastropaolo and Michael Newton. Their work appears in journals such as Neurocomputing, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and IEEE Transactions on Circuits and Systems I Regular Papers.
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.