G.I. Spijksma

50 total papers · 528 total citations
14 papers, 413 citations indexed

About

G.I. Spijksma is a scholar working on Inorganic Chemistry, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, G.I. Spijksma has authored 14 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Inorganic Chemistry, 6 papers in Materials Chemistry and 4 papers in Organic Chemistry. Recurrent topics in G.I. Spijksma's work include Radioactive element chemistry and processing (5 papers), Organometallic Complex Synthesis and Catalysis (4 papers) and Polyoxometalates: Synthesis and Applications (3 papers). G.I. Spijksma is often cited by papers focused on Radioactive element chemistry and processing (5 papers), Organometallic Complex Synthesis and Catalysis (4 papers) and Polyoxometalates: Synthesis and Applications (3 papers). G.I. Spijksma collaborates with scholars based in Netherlands, Sweden and Slovakia. G.I. Spijksma's co-authors include Vadim G. Kessler, H.J.M. Bouwmeester, Dave H. A. Blank, Gulaim A. Seisenbaeva, Sebastian Håkansson, Nieck E. Benes, Andreas Fischer, H. Kruidhof, Cindy Huiskes and David H.A. Blank and has published in prestigious journals such as Advanced Materials, Chemical Communications and The Journal of Physical Chemistry C.

In The Last Decade

G.I. Spijksma

14 papers receiving 405 citations

Author Peers

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

Author						Papers	Cites
G.I. Spijksma	304	99	72	71	56	14	413
J.M. Esparza	315 1.0×	101 1.0×	83 1.2×	58 0.8×	31 0.6×	12	483
Darío Prieto‐Centurión	290 1.0×	101 1.0×	71 1.0×	72 1.0×	52 0.9×	18	415
Rustam Singh	342 1.1×	50 0.5×	91 1.3×	127 1.8×	89 1.6×	15	493
Dangsheng Su	402 1.3×	90 0.9×	62 0.9×	61 0.9×	79 1.4×	10	478
Norma B. Castagnola	256 0.8×	102 1.0×	54 0.8×	67 0.9×	57 1.0×	12	377
Sungmin Han	301 1.0×	196 2.0×	75 1.0×	104 1.5×	52 0.9×	21	429
Oleg Semyonov	190 0.6×	111 1.1×	68 0.9×	58 0.8×	44 0.8×	20	482
Claudio Cara	273 0.9×	62 0.6×	58 0.8×	115 1.6×	36 0.6×	21	413
Zhuoya Dong	315 1.0×	136 1.4×	87 1.2×	68 1.0×	62 1.1×	24	495
Jacopo De Bellis	290 1.0×	71 0.7×	56 0.8×	91 1.3×	71 1.3×	18	430

Countries citing papers authored by G.I. Spijksma

Since Specialization

Citations

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

Fields of papers citing papers by G.I. Spijksma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.I. Spijksma. 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 G.I. Spijksma. The network helps show where G.I. Spijksma may publish in the future.

Co-authorship network of co-authors of G.I. Spijksma

This figure shows the co-authorship network connecting the top 25 collaborators of G.I. Spijksma. A scholar is included among the top collaborators of G.I. Spijksma 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 G.I. Spijksma. G.I. Spijksma 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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