P. Victer Paul
About
In The Last Decade
P. Victer Paul
52 papers receiving 696 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 210
- Computer Networks and Communications 209
- Information Systems 190
- Computer Vision and Pattern Recognition 123
- Automotive Engineering 84
Countries citing papers authored by P. Victer Paul
This map shows the geographic impact of P. Victer Paul'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 P. Victer Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Victer Paul more than expected).
Fields of papers citing papers by P. Victer Paul
This network shows the impact of papers produced by P. Victer Paul. 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 P. Victer Paul. The network helps show where P. Victer Paul may publish in the future.
Co-authorship network of co-authors of P. Victer Paul
This figure shows the co-authorship network connecting the top 25 collaborators of P. Victer Paul. A scholar is included among the top collaborators of P. Victer Paul 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 P. Victer Paul. P. Victer Paul 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | Performance Evaluation of Population Seeding Techniques of Permutation-Coded GA Traveling Salesman Problems Based Assessment: Performance Evaluation of Population Seeding Techniques of Permutation-Coded GA | 3 |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 30 | |
| 10 | 34 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 48 | |
| 15 | 11 | |
| 16 | 7 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 12 | |
| 20 | Using Three Test Formats To Assess Good and Poor Readers' Word Knowledge. Technical Report No. 509. | 2 |
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.