Valdis Krebs
- Statistical and Nonlinear Physics top 2%
- Sociology and Political Science top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Lois DiemKashef IjazPeter D. McElroyCurt LindbergPamela N. PetersonBeverly MetchockEric D. DarrEero Eloranta
- Topics
- Complex Network Analysis Techniques (3 papers)Business Strategy and Innovation (2 papers)Crime Patterns and Interventions (2 papers)
- Journals
- American Journal of Public HealthAmerican Journal of Infection ControlComputers in Industry
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Valdis Krebs
10 papers receiving 817 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Statistical and Nonlinear Physics 424
- Sociology and Political Science 366
- Artificial Intelligence 153
- Information Systems 138
- Computer Networks and Communications 123
Countries citing papers authored by Valdis Krebs
This map shows the geographic impact of Valdis Krebs'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 Valdis Krebs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valdis Krebs more than expected).
Fields of papers citing papers by Valdis Krebs
This network shows the impact of papers produced by Valdis Krebs. 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 Valdis Krebs. The network helps show where Valdis Krebs may publish in the future.
Co-authorship network of co-authors of Valdis Krebs
This figure shows the co-authorship network connecting the top 25 collaborators of Valdis Krebs. A scholar is included among the top collaborators of Valdis Krebs 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 Valdis Krebs. Valdis Krebs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 33 | |
| 4 | 0 | |
| 5 | 46 | |
| 6 | 8 | |
| 7 | 21 | |
| 8 | 12 | |
| 9 | 189 | |
| 10 | Mapping Networks of Terrorist Cellsbreakdown → | 589 |
| 11 | Working in the Connected World: Social Capital — The KillerApp for HR in the 21st Century | 6 |
About Valdis Krebs
Valdis Krebs is a scholar working on Applied Microbiology and Biotechnology, Management of Technology and Innovation and Statistical and Nonlinear Physics, having authored 11 papers that have together received 920 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Business Strategy and Innovation (2 papers) and Crime Patterns and Interventions (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (424 citations), Sociology and Political Science (366 citations) and Communication (45 citations). Valdis Krebs has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Lois Diem, Kashef Ijaz, Peter D. McElroy, Curt Lindberg, Pamela N. Peterson, Beverly Metchock, Eric D. Darr, Eero Eloranta, Julianna M. Nemeth and Amy K. Ferketich. Their work appears in journals such as American Journal of Public Health, American Journal of Infection Control and Computers in Industry.
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.