F Paky

496 citations
18 papers · 362 · h-index 9

Impact in

  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms
    • Venous Thromboembolism Diagnosis and Management

Papers in

F Paky

18 papers receiving 331 citations

Peers

F Paky
Comparison fields: 5 of 66
  • Hematology 98
  • Internal Medicine 25
  • Signal Processing 64
  • Obstetrics and Gynecology 28
  • Health Information Management 17
Replace Shorabuddin Syed with:
Shorabuddin Syed United States
Devarpita Sinha United Kingdom
Kartik Gupta United States
Yan Yu China
Jure Fettich Slovenia
Julio Ponce Spain
G. van Herpen Netherlands
Tim Joseph Australia
Hongyuan Liang China
Peter V. Moulder United States
F Paky relative to Shorabuddin Syed United States Shorabuddin Syed's profile →
Citations per field
00.5×10×20×28×
Shorabuddin Syed · 1×
Citations per year

Countries citing papers authored by F Paky

Since Specialization
Citations

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

Fields of papers citing papers by F Paky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside F Paky, 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 F Paky Line = papers co-authored together F Paky links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1998109
2 199691
3 199741
4 199528
5 198527
6 199519
7
Context-sensitive data validation and data abstraction for knowledge-based monitoring
19948
8 19868
9 19978
10 19976
11 19974
12 19973
13 19933
14
[Inherited transcobalamin-II-deficiency: clinical, genetic studies and diagnosis using cultured fibroblasts].
19832
15
Intensive Care Monitoring and Therapy Planning for Newborns
20022
16
[Incidence and regression of sudden infant death in Austria. Is the change in the SIDS incidence real or virtual?].
19961
17
[Child's sudden death in 20th century--hypothesis, dogmas, dead wood].
20001
18 19941

About F Paky

F Paky is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Endocrine and Autonomic Systems, Artificial Intelligence and Biomedical Engineering, having authored 18 papers that have together received 362 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (5 papers), AI-based Problem Solving and Planning (4 papers), Neuroscience of respiration and sleep (4 papers), Respiratory Support and Mechanisms (3 papers), Healthcare Technology and Patient Monitoring (3 papers), Hemodynamic Monitoring and Therapy (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Hematology (98 citations), Internal Medicine (25 citations), Signal Processing (64 citations), Obstetrics and Gynecology (28 citations) and Health Information Management (17 citations). F Paky has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Silvia Miksch, Werner Horn, Christian Popow, P Helms, D. G. H. Marsden, Ming Chiu, A. Lischka, Günther Bernert, Werner Zenz and Werner Streif. Their work appears in journals such as Archives of Disease in Childhood, Thrombosis and Haemostasis, Acta Paediatrica, Artificial Intelligence in Medicine and Computers in Biology and Medicine.

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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