S. Baráth

928 citations
32 papers · 783 · h-index 16

Impact in

    • Dermatology and Skin Diseases
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

S. Baráth

32 papers receiving 758 citations

Peers

S. Baráth
Comparison fields: 5 of 90
  • Dermatology 148
  • Immunology 259
  • Immunology and Allergy 69
  • Rheumatology 162
  • Pathology and Forensic Medicine 163
Replace Sándor Baráth with:
Sándor Baráth Hungary
Ran Song South Korea
Thomas H. Acciani United States
Amy H. Huang United States
Carlo Santoriello Italy
B.F. Boyce United Kingdom
Kunio Hashimoto Japan
Dean English Canada
Magdalena Paplińska‐Goryca Poland
S. Baráth relative to Sándor Baráth Hungary Sándor Baráth's profile →
Citations per field
00.5×5×10×17.3×
Sándor Baráth · 1×
Citations per year

Countries citing papers authored by S. Baráth

Since Specialization
Citations

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

Fields of papers citing papers by S. Baráth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200972
2 200968
3 200767
4 201165
5 201064
6 200853
7 200748
8 200943
9 200740
10 201538
11 200837
12 201028
13 201127
14 200822
15 200622
16 202015
17 201314
18 201212
19 20117
20 20087

About S. Baráth

S. Baráth is a scholar working on Computer Networks and Communications, Immunology, Electrical and Electronic Engineering, Pathology and Forensic Medicine and Rheumatology, having authored 32 papers that have together received 783 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (8 papers), T-cell and B-cell Immunology (6 papers), IoT-based Smart Home Systems (5 papers), Systemic Lupus Erythematosus Research (4 papers), Mobile Ad Hoc Networks (4 papers), Dermatology and Skin Diseases (3 papers), Immune Cell Function and Interaction (3 papers) and Systemic Sclerosis and Related Diseases (3 papers). The work is most often cited by research in Dermatology (148 citations), Immunology (259 citations), Immunology and Allergy (69 citations), Rheumatology (162 citations) and Pathology and Forensic Medicine (163 citations). S. Baráth has collaborated with scholars based in Hungary, Norway and Nepal. Frequent co-authors include Sándor Sipka, Péter Szodoray, Margit Zeher, Magdolna Aleksza, Britt Nakken, G. Szegedi, Gábor Papp, Edit Gyimesi, Andrea Szegedi and Ildikó Fanny Horváth. Their work appears in journals such as Scandinavian Journal of Rheumatology, Lara D. Veeken, Heart, International Immunology and Acta Dermato Venereologica.

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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