Fritz Scheuren

1.1k citations
33 papers · 605 indexed · h-index 11

Impact in

Papers in

Fritz Scheuren

27 papers receiving 526 citations

Peers

Fritz Scheuren
Comparison fields: 5 of 104
  • Management Science and Operations Research 252
  • Statistics and Probability 158
  • Artificial Intelligence 168
  • Health Information Management 16
  • Epidemiology 107
Replace Jörg Drechsler with:
Jörg Drechsler Germany
Thomas N. Herzog United States
Michael Parzen United States
Natalie Shlomo United Kingdom
Carla Rampichini Italy
Wang Miao United States
Luk Arbuckle Canada
Hamsa Bastani United States
Marco Di Zio Italy
Deborah J. Rumsey United States
Fritz Scheuren relative to Jörg Drechsler Germany Jörg Drechsler's profile →
Citations per field
00.5×1.5×2.3×
Jörg Drechsler · 1×
Citations per year

Countries citing papers authored by Fritz Scheuren

Since Specialization
Citations

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

Fields of papers citing papers by Fritz Scheuren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Fritz Scheuren, 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 Fritz Scheuren Line = papers co-authored together Fritz Scheuren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20211
2 20180
3 20164
4 20161
5 20133
6
METHODOLOGICAL ISSUES IN SURVEYING THE NONBANKED POPULATION IN URBAN AREAS 1
20110
7 201022
8 200731
9 20072
10 2007263
11 200337
12
Deaths associated with pregnancy outcome: a record linkage study of low income women.
200244
13
Macro and Micro Paradata for Survey Assessment.
20007
14 199610
15 199614
16 19962
17 19951
18 19882
19
Hot Deck Imputation Procedure Applied to Double Sampling Design
19861
20 19852

About Fritz Scheuren

Fritz Scheuren is a scholar working on Statistics and Probability, Management Science and Operations Research, Sociology and Political Science, Geography, Planning and Development and Artificial Intelligence, having authored 33 papers that have together received 605 indexed citations. Recurring topics across this work include Data Quality and Management (7 papers), Survey Methodology and Nonresponse (6 papers), Census and Population Estimation (6 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Database Systems and Queries (3 papers), Bayesian Methods and Mixture Models (2 papers), Statistical Methods and Inference (2 papers) and Statistics Education and Methodologies (2 papers). The work is most often cited by research in Management Science and Operations Research (252 citations), Statistics and Probability (158 citations), Artificial Intelligence (168 citations), Health Information Management (16 citations) and Epidemiology (107 citations). Fritz Scheuren has collaborated with scholars based in United States, Botswana and Haiti. Frequent co-authors include William E. Winkler, Thomas N. Herzog, Jesse R. Cougle, Philip G. Ney, Priscilla K. Coleman, David C. Reardon, Patrick Ball, J. Michael Brick, Thomas B. Jabine and Richard L. Scheaffer. Their work appears in journals such as The American Statistician, Journal of Business and Economic Statistics, Journal of the American Statistical Association, Public Opinion Quarterly and Wiley Interdisciplinary Reviews Computational Statistics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026