M.H. Goedbloed

63 total papers · 1.5k total citations
42 papers, 1.2k citations indexed

About

M.H. Goedbloed is a scholar working on Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, M.H. Goedbloed has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biomedical Engineering, 20 papers in Mechanical Engineering and 18 papers in Electrical and Electronic Engineering. Recurrent topics in M.H. Goedbloed's work include Innovative Energy Harvesting Technologies (20 papers), Advanced Sensor and Energy Harvesting Materials (16 papers) and Microfluidic and Capillary Electrophoresis Applications (9 papers). M.H. Goedbloed is often cited by papers focused on Innovative Energy Harvesting Technologies (20 papers), Advanced Sensor and Energy Harvesting Materials (16 papers) and Microfluidic and Capillary Electrophoresis Applications (9 papers). M.H. Goedbloed collaborates with scholars based in Netherlands, Belgium and Japan. M.H. Goedbloed's co-authors include R. van Schaijk, R. Elfrink, S. Matova, Talal M. Kamel, Dennis Hohlfeld, Y. van Andel, M. Jambunathan, C. de Nooijer, M. Renaud and Albert van den Berg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Chemical Communications.

In The Last Decade

M.H. Goedbloed

41 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
M.H. Goedbloed	809	691	676	165	81	42	1.2k
Andrew J. Pascall	568 0.7×	377 0.5×	429 0.6×	348 2.1×	54 0.7×	43	1.4k
Lin Dong	829 1.0×	415 0.6×	332 0.5×	238 1.4×	40 0.5×	59	1.2k
Dong Niu	683 0.8×	508 0.7×	289 0.4×	211 1.3×	34 0.4×	51	1.3k
Weibin Zhu	832 1.0×	174 0.3×	433 0.6×	259 1.6×	37 0.5×	42	1.3k
Borui Xu	692 0.9×	542 0.8×	362 0.5×	260 1.6×	39 0.5×	61	1.3k
Tùng Nguyen-Dang	868 1.1×	235 0.3×	618 0.9×	140 0.8×	27 0.3×	39	1.4k
Zengxing Zhang	843 1.0×	266 0.4×	527 0.8×	265 1.6×	43 0.5×	38	1.3k
Kai Tan	560 0.7×	481 0.7×	240 0.4×	278 1.7×	121 1.5×	28	1.0k
Svetlana Serak	339 0.4×	441 0.6×	160 0.2×	227 1.4×	46 0.6×	39	934
Peter A Krulevitch	506 0.6×	226 0.3×	467 0.7×	487 3.0×	29 0.4×	38	1.2k

Countries citing papers authored by M.H. Goedbloed

Since Specialization

Citations

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

Fields of papers citing papers by M.H. Goedbloed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.H. Goedbloed. 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 M.H. Goedbloed. The network helps show where M.H. Goedbloed may publish in the future.

Co-authorship network of co-authors of M.H. Goedbloed

This figure shows the co-authorship network connecting the top 25 collaborators of M.H. Goedbloed. A scholar is included among the top collaborators of M.H. Goedbloed 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 M.H. Goedbloed. M.H. Goedbloed 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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