Tamás Szakmány

10.0k citations
96 papers · 1.6k indexed · 1 hit paper · h-index 21

Tamás Szakmány

89 papers receiving 1.6k citations

Hit Papers

Sepsis in Intensive Care Unit Patients: Worldwide Data Fr...3062018202620202023100200300

Peers

Tamás Szakmány
Comparison fields: 5 of 128
  • Critical Care and Intensive Care Medicine 405
  • Emergency Medicine 227
  • Anesthesiology and Pain Medicine 109
  • Geriatrics and Gerontology 72
  • Applied Microbiology and Biotechnology 35
Replace Amartya Mukhopadhyay with:
Amartya Mukhopadhyay Singapore
Suzana Margareth Lobo Brazil
Guillaume Thiéry France
Gérard Nitenberg France
Eliézer Silva Brazil
Silvio A. Ñamendys‐Silva Mexico
Satish Bhagwanjee South Africa
Djamel Mokart France
Flávio Lopes Ferreira Belgium
Daniel Pilsgaard Henriksen Denmark
Tamás Szakmány relative to Amartya Mukhopadhyay Singapore Amartya Mukhopadhyay's profile →
Citations per field
00.5×1.5×
Amartya Mukhopadhyay · 1×
Citations per year

Countries citing papers authored by Tamás Szakmány

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Szakmány

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20241
4 20247
5 20233
6 20231
7 20234
8 202313
9 20234
10 202131
11 20217
12 202019
13
Sepsis in Intensive Care Unit Patients: Worldwide Data From the Intensive Care over Nations Auditbreakdown →
2018306
14 20176
15 20172
16 201615
17 20167
18 200522
19 20033
20 200330

About Tamás Szakmány

Tamás Szakmány is a scholar working on Critical Care and Intensive Care Medicine, Family Practice and Emergency Medicine, having authored 96 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (32 papers), Respiratory Support and Mechanisms (23 papers), Intensive Care Unit Cognitive Disorders (17 papers), Cardiac, Anesthesia and Surgical Outcomes (12 papers), Hemodynamic Monitoring and Therapy (10 papers), Cardiac Arrest and Resuscitation (8 papers), Nosocomial Infections in ICU (8 papers) and Pneumonia and Respiratory Infections (7 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (405 citations), Emergency Medicine (227 citations) and Anesthesiology and Pain Medicine (109 citations). Tamás Szakmány has collaborated with scholars based in United Kingdom, Hungary and United States. Frequent co-authors include Zsolt Molnár, Marc Léone, Xavier Wittebole, Jean‐Louis Vincent, Yasser Sakr, A Mikor, Tamás Leiner, Silvio A. Ñamendys‐Silva, Mary‐Nicoleta Lupu and Ulrich Jaschinski. Their work appears in journals such as The Journal of Immunology, Scientific Reports and Cochrane Database of Systematic Reviews.

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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