Szabolcs Mátyás

461 citations
42 papers · 282 indexed · h-index 8

Szabolcs Mátyás

25 papers receiving 266 citations

Peers

Szabolcs Mátyás
Comparison fields: 5 of 38
  • Reproductive Medicine 153
  • Public Health, Environmental and Occupational Health 230
  • Pediatrics, Perinatology and Child Health 126
  • Geography, Planning and Development 18
  • Molecular Biology 90
Replace Cristina Garello with:
Cristina Garello Italy
Leyre Herrero Spain
Amy Barrie United Kingdom
Elsa Labrune France
M. Katz-Jaffe United States
Y. Motato Spain
D Castelló Spain
Jin-Tae Chung Canada
B. Aparicio Ruiz Spain
Fabrizzio Horta Australia
Szabolcs Mátyás relative to Cristina Garello Italy Cristina Garello's profile →
Citations per field
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Citations per year

Countries citing papers authored by Szabolcs Mátyás

Since Specialization
Citations

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

Fields of papers citing papers by Szabolcs Mátyás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20241
4 20240
5 20231
6 20231
7 20223
8 20220
9 201823
10
A bűnelemzés kartográfiai lehetőségei – avagy a bűnözési térképek alkalmazása a mindennapi rendőri munka során
20170
11
Criminal Geography as a New Subject in the Hungarian Higher Education
20160
12
Ritecz GYÖRGY – Sallai JÁNOS A migráció trendjei, okai és kezelésének lehetőségei 2.0[The Causes and Trends of Migration and the Possibilities to Handle it 2.0]
20160
13
Szubjektív biztonságérzet — lakossági vélemény a közbiztonságról és a rendőrségről
20150
14 201319
15 201074
16 20102
17 200963
18 200619
19 20047
20 20046

About Szabolcs Mátyás

Szabolcs Mátyás is a scholar working on Geography, Planning and Development, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 42 papers that have together received 282 indexed citations. Recurring topics across this work include Hungarian Social, Economic and Educational Studies (16 papers), Reproductive Biology and Fertility (11 papers), Ovarian function and disorders (8 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers), Pluripotent Stem Cells Research (2 papers), Renal and related cancers (2 papers), European Criminal Justice and Data Protection (2 papers) and Sport and Mega-Event Impacts (2 papers). The work is most often cited by research in Reproductive Medicine (153 citations), Public Health, Environmental and Occupational Health (230 citations) and Pediatrics, Perinatology and Child Health (126 citations). Szabolcs Mátyás has collaborated with scholars based in Hungary, Russia and United States. Frequent co-authors include Péter Kovács, Csaba Pribenszky, Gábor Vajta, Steven G. Kaali, János Zádori, Miklós Molnár, Zsolt Láng, Katalin Molnár, Jason Conceicao and Péter Nagy. Their work appears in journals such as Fertility and Sterility, Journal of Assisted Reproduction and Genetics, Reproductive BioMedicine Online, European Journal of Obstetrics & Gynecology and Reproductive Biology and Reproduction Fertility and Development.

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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