David Nečas

62 total papers · 838 total citations
45 papers, 675 citations indexed

About

David Nečas is a scholar working on Surgery, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, David Nečas has authored 45 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 22 papers in Mechanical Engineering and 13 papers in Mechanics of Materials. Recurrent topics in David Nečas's work include Orthopaedic implants and arthroplasty (18 papers), Total Knee Arthroplasty Outcomes (13 papers) and Tribology and Wear Analysis (8 papers). David Nečas is often cited by papers focused on Orthopaedic implants and arthroplasty (18 papers), Total Knee Arthroplasty Outcomes (13 papers) and Tribology and Wear Analysis (8 papers). David Nečas collaborates with scholars based in Czechia, Japan and United States. David Nečas's co-authors include Martin Vrbka, Martin Hartl, Ivan Křupka, Jiří Gallo, Adéla Galandáková, Max Marian, Martin Pravda, Yoshinori Sawae, Nazanin Emami and Alessandro Ruggiero and has published in prestigious journals such as Advances in Colloid and Interface Science, International Journal of Biological Macromolecules and Physics of Fluids.

In The Last Decade

David Nečas

43 papers receiving 660 citations

Author Peers

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

Author						Papers	Cites
David Nečas	354	318	237	112	92	45	675
Kazuhiro Nakashima	197 0.6×	166 0.5×	152 0.6×	190 1.7×	116 1.3×	36	599
Seido Yarimitsu	263 0.7×	165 0.5×	148 0.6×	270 2.4×	155 1.7×	36	621
Kiyoshi Mabuchi	534 1.5×	102 0.3×	49 0.2×	141 1.3×	109 1.2×	42	757
Longfei Yang	226 0.6×	74 0.2×	104 0.4×	71 0.6×	321 3.5×	25	584
Daisuke Yonekura	140 0.4×	191 0.6×	212 0.9×	15 0.1×	60 0.7×	47	642
J.J. Stone	136 0.4×	236 0.7×	290 1.2×	53 0.5×	74 0.8×	24	596
Lorenza Mattei	384 1.1×	274 0.9×	208 0.9×	13 0.1×	89 1.0×	38	650
D. Baptiste	59 0.2×	224 0.7×	396 1.7×	102 0.9×	72 0.8×	25	695
Tadashi Sasada	94 0.3×	297 0.9×	304 1.3×	24 0.2×	84 0.9×	57	694
Javier Aldazabal	37 0.1×	237 0.7×	124 0.5×	20 0.2×	92 1.0×	48	562

Countries citing papers authored by David Nečas

Since Specialization

Citations

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

Fields of papers citing papers by David Nečas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Nečas

This figure shows the co-authorship network connecting the top 25 collaborators of David Nečas. A scholar is included among the top collaborators of David Nečas 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 David Nečas. David Nečas 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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