Andy Peytchev

1.8k citations
40 papers · 1.2k · h-index 19

Impact in

Papers in

Andy Peytchev

40 papers receiving 1.1k citations

Peers

Andy Peytchev
Comparison fields: 5 of 101
  • Statistics and Probability 254
  • Sociology and Political Science 837
  • Computer Science Applications 88
  • Health 104
  • Economics and Econometrics 275
Replace Geert Loosveldt with:
Geert Loosveldt Belgium
D. A. Dillman United States
Barry Schouten Netherlands
Reg Baker United States
Annette Jäckle United Kingdom
Mark Trappmann Germany
Nancy Bates United States
Dirk Heerwegh Belgium
Bella Struminskaya Netherlands
Carina Cornesse Germany
Andy Peytchev relative to Geert Loosveldt Belgium Geert Loosveldt's profile →
Citations per field
00.5×1.5×
Geert Loosveldt · 1×
Citations per year

Countries citing papers authored by Andy Peytchev

Since Specialization
Citations

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

Fields of papers citing papers by Andy Peytchev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andy Peytchev, 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 Andy Peytchev Line = papers co-authored together Andy Peytchev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012121
2 2009110
3 200995
4 200691
5 200984
6 200771
7 200958
8 200751
9 201750
10 201045
11 201640
12 200939
13 201028
14
Use and non-use of clarification features in web surveys
200627
15 201024
16 201123
17 201419
18 201319
19 201318
20
Breakoff and Unit Nonresponse Across Web Surveys
201116

About Andy Peytchev

Andy Peytchev is a scholar working on Sociology and Political Science, Economics and Econometrics, Statistics and Probability, General Health Professions and Health, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (36 papers), Healthcare Policy and Management (11 papers), Survey Sampling and Estimation Techniques (8 papers), Economic and Environmental Valuation (6 papers), Behavioral Health and Interventions (4 papers), Focus Groups and Qualitative Methods (4 papers), Health disparities and outcomes (4 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Statistics and Probability (254 citations), Sociology and Political Science (837 citations), Computer Science Applications (88 citations), Health (104 citations) and Economics and Econometrics (275 citations). Andy Peytchev has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Kristen Olson, Craig A. Hill, Mick P. Couper, Emilia Peytcheva, Scott Crawford, James Wagner, Frederick G. Conrad, Roger Tourangeau, Sean Esteban McCabe and M. P. Couper. Their work appears in journals such as Public Opinion Quarterly, Journal of Survey Statistics and Methodology, Field Methods, Social Science Computer Review and Journal of Medical Internet Research.

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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