Ferenc Csizmadia

568 citations
14 papers · 459 indexed · h-index 9
Topics
Computational Drug Discovery Methods (7 papers)Analytical Chemistry and Chromatography (4 papers)Statistical Methods in Clinical Trials (3 papers)
Partner nations
CanadaGreeceHungary

In The Last Decade

Ferenc Csizmadia

14 papers receiving 442 citations

Peers

Ferenc Csizmadia
Comparison fields: 5 of 100
  • Molecular Biology 185
  • Computational Theory and Mathematics 131
  • Spectroscopy 102
  • Organic Chemistry 94
  • Pharmacology 51
Replace Richard Lloyd with:
Richard Lloyd United Kingdom
Anderson Coser Gaudio Brazil
Suresh Babu Mekapati United States
Tomasz Magdziarz Poland
Paulo Paixão Portugal
Rudolf Kiralj Brazil
Nicholas M. Bonham Sweden
Iurii Sushko Germany
Maykel Cruz‐Monteagudo Portugal
Natália Aniceto Portugal
Ferenc Csizmadia relative to Richard Lloyd United Kingdom Richard Lloyd's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ferenc Csizmadia

Since Specialization
Citations

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

Fields of papers citing papers by Ferenc Csizmadia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferenc Csizmadia

This figure shows the co-authorship network connecting the top 25 collaborators of Ferenc Csizmadia. A scholar is included among the top collaborators of Ferenc Csizmadia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ferenc Csizmadia. Ferenc Csizmadia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 5
3 34
4 95
5 3
6 4
7 16
8 18
9 125
10 34
11 41
12 6
13 55
14 22

About Ferenc Csizmadia

Ferenc Csizmadia is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Management Science and Operations Research, having authored 14 papers that have together received 459 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Analytical Chemistry and Chromatography (4 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Computational Theory and Mathematics (131 citations), Spectroscopy (102 citations) and Virology (21 citations). Ferenc Csizmadia has collaborated with scholars based in Canada, Greece and Hungary. Frequent co-authors include Ferenç Darvas, Irene Panderi, Anna Tsantili‐Kakoulidou, Edward E. Knaus, Leonard I. Wiebe, Keykavous Parang, László Endrényi, Mohsen Daneshtalab, Soroush Sardari and László Tóthfalusi. Their work appears in journals such as Journal of Chromatography A, Pharmaceutical Research and Journal of Pharmaceutical Sciences.

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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