Valdis Krebs

1.5k total citations · 1 hit paper
11 papers, 920 citations indexed

About

Valdis Krebs is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Infectious Diseases. According to data from OpenAlex, Valdis Krebs has authored 11 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 3 papers in Statistical and Nonlinear Physics and 2 papers in Infectious Diseases. Recurrent topics in Valdis Krebs's work include Complex Network Analysis Techniques (3 papers), Business Strategy and Innovation (2 papers) and Crime Patterns and Interventions (2 papers). Valdis Krebs is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Business Strategy and Innovation (2 papers) and Crime Patterns and Interventions (2 papers). Valdis Krebs collaborates with scholars based in United States, Sweden and Australia. Valdis Krebs's co-authors include Pamela N. Peterson, Curt Lindberg, Kashef Ijaz, Peter D. McElroy, Lois Diem, Beverly Metchock, Eric D. Darr, Eero Eloranta, Nathan Doogan and Electra D. Paskett and has published in prestigious journals such as American Journal of Public Health, American Journal of Infection Control and Computers in Industry.

In The Last Decade

Valdis Krebs

10 papers receiving 817 citations

Hit Papers

Mapping Networks of Terrorist Cells 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Valdis Krebs United States 8 424 366 153 138 123 11 920
Jon Kleinberg United States 7 659 1.6× 188 0.5× 240 1.6× 107 0.8× 134 1.1× 13 1.0k
Jürgen Lerner Germany 17 431 1.0× 369 1.0× 216 1.4× 110 0.8× 56 0.5× 42 1.1k
André Panisson Italy 15 187 0.4× 148 0.4× 143 0.9× 79 0.6× 144 1.2× 35 730
Amanda L. Traud United States 8 436 1.0× 104 0.3× 200 1.3× 58 0.4× 71 0.6× 10 649
Minas Gjoka United States 15 648 1.5× 159 0.4× 388 2.5× 244 1.8× 535 4.3× 28 1.2k
Piotr Bródka Poland 15 332 0.8× 115 0.3× 195 1.3× 86 0.6× 102 0.8× 52 794
Riley Crane United States 5 425 1.0× 204 0.6× 118 0.8× 80 0.6× 97 0.8× 7 762
Sabrina Gaito Italy 21 228 0.5× 127 0.3× 149 1.0× 100 0.7× 338 2.7× 103 1.1k
Xiaolin Shi United States 14 256 0.6× 109 0.3× 171 1.1× 203 1.5× 80 0.7× 24 728
Samarth Swarup United States 16 157 0.4× 239 0.7× 194 1.3× 77 0.6× 72 0.6× 89 976

Countries citing papers authored by Valdis Krebs

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

11 of 11 papers shown
1.
Nemeth, Julianna M., Bo Lü, Juan Peng, et al.. (2018). A social-contextual investigation of smoking among rural women: multi-level factors associated with smoking status and considerations for cessation. Rural and Remote Health. 18(1). 4338–4338. 11 indexed citations
2.
Krebs, Valdis, Julianna M. Nemeth, Bo Lü, et al.. (2016). Social Networks and Smoking in Rural Women: Intervention Implications. American Journal of Health Behavior. 40(4). 405–415. 5 indexed citations
3.
Lindberg, Curt, et al.. (2012). Embracing collaboration: A novel strategy for reducing bloodstream infections in outpatient hemodialysis centers. American Journal of Infection Control. 41(6). 513–519. 33 indexed citations
5.
Ijaz, Kashef, et al.. (2006). Transmission Network Analysis to Complement Routine Tuberculosis Contact Investigations. American Journal of Public Health. 97(3). 470–477. 46 indexed citations
6.
Krebs, Valdis, et al.. (2003). Arachne—adaptive network strategy in a business environment. Computers in Industry. 50(2). 127–140. 8 indexed citations
7.
Krebs, Valdis. (2003). Proxy Networks --Analyzing One Network To Reveal Another. Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique. 79(1). 61–70. 21 indexed citations
8.
Darr, Eric D., et al.. (2002). Developing the productivity of a dynamic workforce: The impact of informal knowledge transfer. 21(2). 13–21. 12 indexed citations
9.
Krebs, Valdis. (2002). Uncloaking Terrorist Networks. First Monday. 7(4). 189 indexed citations
10.
Krebs, Valdis. (2001). Mapping Networks of Terrorist Cells. 589 indexed citations breakdown →
11.
Krebs, Valdis. (2000). Working in the Connected World: Social Capital — The KillerApp for HR in the 21st Century. 6 indexed citations

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.

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