Dániel Kozma

649 citations
20 papers · 492 · h-index 12

Impact in

Papers in

Dániel Kozma

18 papers receiving 483 citations

Peers

Dániel Kozma
Comparison fields: 5 of 81
  • Industrial and Manufacturing Engineering 127
  • Management Information Systems 44
  • Molecular Biology 241
  • Computer Networks and Communications 64
  • Management of Technology and Innovation 20
Replace Wenbin Dai with:
Wenbin Dai China
Azam Sheikh Muhammad Sweden
Moon Jung Chung United States
John Rachlin United States
Jenny Xu United States
Prashant Nair India
James Graham United States
Pedro Pereira Portugal
Tiexin Wang China
Luyang Liu China
Dániel Kozma relative to Wenbin Dai China Wenbin Dai's profile →
Citations per field
00.5×4.5×
Wenbin Dai · 1×
Citations per year

Countries citing papers authored by Dániel Kozma

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Kozma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Dániel Kozma, 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 Dániel Kozma Line = papers co-authored together Dániel Kozma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2012220
2 201631
3 202031
4 201929
5 201926
6 201224
7 201920
8 201117
9 202116
10 201812
11 201912
12 201811
13 202010
14 201510
15 20159
16 20207
17 20236
18 20171
19 20120
20 20220

About Dániel Kozma

Dániel Kozma is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Computer Networks and Communications, Molecular Biology and Information Systems, having authored 20 papers that have together received 492 indexed citations. Recurring topics across this work include Digital Transformation in Industry (7 papers), Flexible and Reconfigurable Manufacturing Systems (5 papers), Business Process Modeling and Analysis (4 papers), Service-Oriented Architecture and Web Services (3 papers), IoT and Edge/Fog Computing (3 papers), Protein Structure and Dynamics (2 papers), Manufacturing Process and Optimization (2 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (127 citations), Management Information Systems (44 citations), Molecular Biology (241 citations), Computer Networks and Communications (64 citations) and Management of Technology and Innovation (20 citations). Dániel Kozma has collaborated with scholars based in Hungary, Spain and Sweden. Frequent co-authors include Gábor Tusnády, István Simon, Pál Varga, Félix Larrinaga, Gábor Soós, Csaba Hegedűs, Dániel Ficzere, Andrea H. Németh, P. Petrík and Ferenc Vonderviszt. Their work appears in journals such as Applied Sciences, Nucleic Acids Research, Biology Direct, Applied Surface Science and IEEE Transactions on Automation Science and Engineering.

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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