Finney Daniel Shadrach
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Information Systems
- Co-authors
- T J NandhiniT. DaniyaValliappa LakshmananL. NatrayanD. PaulrajK. GunavathiS. John Justin ThangarajMohammed Wasim Bhatt
- Topics
- Artificial Intelligence in Healthcare (4 papers)Anomaly Detection Techniques and Applications (4 papers)IoT and Edge/Fog Computing (3 papers)
In The Last Decade
Finney Daniel Shadrach
28 papers receiving 195 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 44
- Computer Vision and Pattern Recognition 36
- Electrical and Electronic Engineering 36
- Computer Networks and Communications 33
- Information Systems 25
Countries citing papers authored by Finney Daniel Shadrach
This map shows the geographic impact of Finney Daniel Shadrach'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 Finney Daniel Shadrach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Finney Daniel Shadrach more than expected).
Fields of papers citing papers by Finney Daniel Shadrach
This network shows the impact of papers produced by Finney Daniel Shadrach. 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 Finney Daniel Shadrach. The network helps show where Finney Daniel Shadrach may publish in the future.
Co-authorship network of co-authors of Finney Daniel Shadrach
This figure shows the co-authorship network connecting the top 25 collaborators of Finney Daniel Shadrach. A scholar is included among the top collaborators of Finney Daniel Shadrach 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 Finney Daniel Shadrach. Finney Daniel Shadrach 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 | 0 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 29 | |
| 17 | 4 | |
| 18 | 21 | |
| 19 | 7 | |
| 20 | 4 |
About Finney Daniel Shadrach
Finney Daniel Shadrach is a scholar working on Health Information Management, Neurology and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 205 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Anomaly Detection Techniques and Applications (4 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Health Information Management (9 citations), Neurology (16 citations) and Computer Vision and Pattern Recognition (36 citations). Finney Daniel Shadrach has collaborated with scholars based in India, Algeria and Ethiopia. Frequent co-authors include T J Nandhini, T. Daniya, Valliappa Lakshmanan, L. Natrayan, D. Paulraj, K. Gunavathi, S. John Justin Thangaraj, Mohammed Wasim Bhatt, Vivek Kumar and Dharmesh Dhabliya. Their work appears in journals such as Scientific Reports, Knowledge-Based Systems and Sustainable Energy Technologies and Assessments.
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.