N KRAUS

1.2k citations
14 papers · 870 · h-index 9

Impact in

Papers in

N KRAUS

12 papers receiving 757 citations

Peers

N KRAUS
Comparison fields: 5 of 121
  • General Decision Sciences 76
  • Chemical Health and Safety 17
  • Statistics, Probability and Uncertainty 120
  • Sociology and Political Science 601
  • Applied Psychology 46
Replace Britt‐Marie Drottz‐Sjöberg with:
Britt‐Marie Drottz‐Sjöberg Sweden
Baruch Fischoff United States
Karl Dake United States
David McCallum United States
Katrin Fischer Switzerland
Richard P. Barke United States
Richard G. Peters United States
Esperanza López‐Vázquez Mexico
Katharina Wolff Norway
Fumie Yokota United States
N KRAUS relative to Britt‐Marie Drottz‐Sjöberg Sweden Britt‐Marie Drottz‐Sjöberg's profile →
Citations per field
00.5×4.3×
Britt‐Marie Drottz‐Sjöberg · 1×
Citations per year

Countries citing papers authored by N KRAUS

Since Specialization
Citations

This map shows the geographic impact of N KRAUS'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 N KRAUS with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N KRAUS more than expected).

Fields of papers citing papers by N KRAUS

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N KRAUS. 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 N KRAUS. The network helps show where N KRAUS may publish in the future.

Co-authors

The 9 scholars most cited alongside N KRAUS, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N KRAUS Line = papers co-authored together N KRAUS links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1992334
2 1991197
3 1988120
4 198974
5 198747
6 199046
7 198815
8 198812
9 198011
10 20208
11 20215
12 20211
13 20000
14 19790

About N KRAUS

N KRAUS is a scholar working on Statistics, Probability and Uncertainty, Sociology and Political Science, Epidemiology, Safety, Risk, Reliability and Quality and Obstetrics and Gynecology, having authored 14 papers that have together received 870 indexed citations. Recurring topics across this work include Risk and Safety Analysis (6 papers), Risk Perception and Management (5 papers), Nuclear and radioactivity studies (2 papers), Climate Change Communication and Perception (2 papers), Sustainability and Innovation in Business (1 paper), Gestational Diabetes Research and Management (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Business and Economic Development (1 paper). The work is most often cited by research in General Decision Sciences (76 citations), Chemical Health and Safety (17 citations), Statistics, Probability and Uncertainty (120 citations), Sociology and Political Science (601 citations) and Applied Psychology (46 citations). N KRAUS has collaborated with scholars based in United States, Ukraine and Switzerland. Frequent co-authors include Paul Slovic, Torbjörn Malmfors, James A. Chalmers, James Flynn, Mark Layman, Donald G. MacGregor, Vincent T. Covello, T. Malmfors and Katrin Kraus. Their work appears in journals such as Risk Analysis, Journal of Midwifery & Women s Health, Accident Analysis & Prevention, Efektyvna ekonomika and PubMed.

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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