P. Bock
About
In The Last Decade
P. Bock
71 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Electrical and Electronic Engineering 300
- Nuclear and High Energy Physics 216
- Control and Systems Engineering 189
- Mechanical Engineering 184
- Plant Science 141
Countries citing papers authored by P. Bock
This map shows the geographic impact of P. Bock'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. Bock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Bock more than expected).
Fields of papers citing papers by P. Bock
This network shows the impact of papers produced by P. Bock. 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. Bock. The network helps show where P. Bock may publish in the future.
Co-authorship network of co-authors of P. Bock
This figure shows the co-authorship network connecting the top 25 collaborators of P. Bock. A scholar is included among the top collaborators of P. Bock 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. Bock. P. Bock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 20 | |
| 3 | 32 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 25 | |
| 7 | 1 | |
| 8 | An assessment of the effect of personality and forward context on the expertise of a collective learning system using the five-factor model of personality | 3 |
| 9 | 0 | |
| 10 | The relevance of genotypic learning in the CLGA | 1 |
| 11 | Intelligent recombination using individual learning in a collective learning genetic algorithm | 7 |
| 12 | 1 | |
| 13 | A Preliminary Statistical Investigation into the Impace of an N-Gram Analysis Approach Based on World Syntactic Categories Toward Text Author Classification | 3 |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 31 | |
| 19 | 12 | |
| 20 | 12 |
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.