Árpád Takács

38 total papers · 627 total citations
27 papers, 440 citations indexed

About

Árpád Takács is a scholar working on Biomedical Engineering, Surgery and Automotive Engineering. According to data from OpenAlex, Árpád Takács has authored 27 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 9 papers in Surgery and 9 papers in Automotive Engineering. Recurrent topics in Árpád Takács's work include Autonomous Vehicle Technology and Safety (9 papers), Soft Robotics and Applications (9 papers) and Human-Automation Interaction and Safety (8 papers). Árpád Takács is often cited by papers focused on Autonomous Vehicle Technology and Safety (9 papers), Soft Robotics and Applications (9 papers) and Human-Automation Interaction and Safety (8 papers). Árpád Takács collaborates with scholars based in Hungary, Canada and Romania. Árpád Takács's co-authors include Tamás Haidegger, Imre J. Rudas, Levente Kovács, Radu‐Emil Precup, Péter Galambos, Dániel András Drexler, Edson Prestes, György Eigner, Jun Meng and Alaa Khamis and has published in prestigious journals such as Sensors, IEEE Robotics & Automation Magazine and Medical & Biological Engineering & Computing.

In The Last Decade

Árpád Takács

26 papers receiving 424 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Árpád Takács	132	102	91	67	55	27	440
George P. Moustris	179 1.4×	101 1.0×	132 1.5×	20 0.3×	34 0.6×	23	391
Chin-Boon Chng	140 1.1×	63 0.6×	83 0.9×	11 0.2×	38 0.7×	38	370
Reza Faieghi	40 0.3×	96 0.9×	44 0.5×	53 0.8×	73 1.3×	31	367
Liang Peng	74 0.6×	26 0.3×	173 1.9×	86 1.3×	21 0.4×	17	384
Dong‐Soo Kwon	179 1.4×	169 1.7×	88 1.0×	10 0.1×	169 3.1×	34	470
Keshav Chintamani	27 0.2×	52 0.5×	48 0.5×	23 0.3×	53 1.0×	14	435
Carlos J. Pérez-del-Pulgar	108 0.8×	130 1.3×	64 0.7×	33 0.5×	66 1.2×	34	444
Yanhong Peng	124 0.9×	82 0.8×	12 0.1×	18 0.3×	87 1.6×	28	461
Felix G. Hamza-Lup	42 0.3×	39 0.4×	47 0.5×	15 0.2×	67 1.2×	65	444
Long Cheng	166 1.3×	121 1.2×	24 0.3×	17 0.3×	87 1.6×	32	438

Countries citing papers authored by Árpád Takács

Since Specialization

Citations

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

Fields of papers citing papers by Árpád Takács

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Árpád Takács

This figure shows the co-authorship network connecting the top 25 collaborators of Árpád Takács. A scholar is included among the top collaborators of Árpád Takács 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 Árpád Takács. Árpád Takács is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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