Kevin Land

88 total papers · 1.8k total citations
54 papers, 1.3k citations indexed

About

Kevin Land is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Kevin Land has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Biomedical Engineering, 18 papers in Electrical and Electronic Engineering and 16 papers in Molecular Biology. Recurrent topics in Kevin Land's work include Biosensors and Analytical Detection (29 papers), Microfluidic and Capillary Electrophoresis Applications (14 papers) and Advanced biosensing and bioanalysis techniques (14 papers). Kevin Land is often cited by papers focused on Biosensors and Analytical Detection (29 papers), Microfluidic and Capillary Electrophoresis Applications (14 papers) and Advanced biosensing and bioanalysis techniques (14 papers). Kevin Land collaborates with scholars based in South Africa, Germany and United States. Kevin Land's co-authors include Andrew Ramsay, Xiang‐Sheng Chen, Debrah I. Boeras, Rosanna Ŵ. Peeling, Suzanne Smith, Jan G. Korvink, Dario Mager, Trudi-Heleen Joubert, Horacio Kido and Marc Madou and has published in prestigious journals such as Chemistry - A European Journal, Lab on a Chip and RSC Advances.

In The Last Decade

Kevin Land

49 papers receiving 1.2k citations

Hit Papers

REASSURED diagnostics to ... 2018 2026 2020 2023 2018 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Kevin Land 840 490 243 237 95 54 1.3k
Maria Serena Chiriacò 648 0.8× 562 1.1× 124 0.5× 183 0.8× 78 0.8× 73 1.6k
Mohammadali Safavieh 974 1.2× 781 1.6× 199 0.8× 155 0.7× 56 0.6× 22 1.2k
Jyoti Bhardwaj 590 0.7× 690 1.4× 262 1.1× 219 0.9× 106 1.1× 48 1.6k
Peter B. Lillehoj 1.0k 1.2× 633 1.3× 208 0.9× 397 1.7× 30 0.3× 47 1.5k
Maria D.L. Oliveira 641 0.8× 1.1k 2.2× 220 0.9× 230 1.0× 78 0.8× 83 1.6k
Jacqueline C. Linnes 815 1.0× 554 1.1× 291 1.2× 103 0.4× 74 0.8× 62 1.2k
Lourdes Rivas 906 1.1× 882 1.8× 202 0.8× 223 0.9× 42 0.4× 29 1.3k
Erlan Ramanculov 536 0.6× 841 1.7× 136 0.6× 162 0.7× 135 1.4× 38 1.4k
Kenshin Takemura 741 0.9× 747 1.5× 449 1.8× 167 0.7× 82 0.9× 34 1.2k
Nongyue He 761 0.9× 646 1.3× 169 0.7× 280 1.2× 42 0.4× 33 1.4k

Countries citing papers authored by Kevin Land

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Land

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Land

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