Tymon Słoczyński

454 citations
26 papers · 224 · h-index 9

Impact in

Papers in

    • Advanced Causal Inference Techniques 16
    • Statistical Methods and Inference 10
    • Statistical Methods and Bayesian Inference 4
    • Labor market dynamics and wage inequality 5
    • Spatial and Panel Data Analysis 3
    • Health Systems, Economic Evaluations, Quality of Life 2

Tymon Słoczyński

24 papers receiving 217 citations

Peers

Tymon Słoczyński
Comparison fields: 5 of 77
  • Statistics and Probability 61
  • Gender Studies 29
  • Economics and Econometrics 85
  • Paleontology 20
  • Space and Planetary Science 3
Replace David Winter with:
David Winter United Kingdom
Arne Sandström Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Tymon Słoczyński

Since Specialization
Citations

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

Fields of papers citing papers by Tymon Słoczyński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Tymon Słoczyński, 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 Tymon Słoczyński Line = papers co-authored together Tymon Słoczyński links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201765
2 202031
3 201415
4 202014
5 201514
6 201912
7 201611
8 20228
9 20148
10 20207
11 20197
12
Próba wyjaśnienia regionalnego zróżnicowania międzypłciowej luki płacowej w Polsce
20125
13 20155
14 20145
15 20224
16
Wpływ sieci społecznych na zatrudnienie i płace
20122
17 20132
18 20132
19 20182
20
Wokół międzynarodowego zróżnicowania międzypłciowej luki płacowej
20121

About Tymon Słoczyński

Tymon Słoczyński is a scholar working on Statistics and Probability, Economics and Econometrics, Gender Studies, Sociology and Political Science and General Economics, Econometrics and Finance, having authored 26 papers that have together received 224 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (16 papers), Statistical Methods and Inference (10 papers), Labor market dynamics and wage inequality (5 papers), Statistical Methods and Bayesian Inference (4 papers), Gender, Labor, and Family Dynamics (3 papers), Labour Market and Migration (3 papers), Spatial and Panel Data Analysis (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Statistics and Probability (61 citations), Gender Studies (29 citations), Economics and Econometrics (85 citations), Paleontology (20 citations) and Space and Planetary Science (3 citations). Tymon Słoczyński has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Jeffrey M. Wooldridge, Adam Izdebski, S. Derya Uysal, Katerina Kouli, Anton Bonnier, Arun Advani and Toru Kitagawa. Their work appears in journals such as Industrial and Labor Relations Review, The Review of Economics and Statistics, Explorations in Economic History, The Economic Journal and Journal of Applied Econometrics.

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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