G.M. Nijm

15 total papers · 619 total citations
12 papers, 460 citations indexed

About

G.M. Nijm is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, G.M. Nijm has authored 12 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in G.M. Nijm's work include Advanced MRI Techniques and Applications (7 papers), Atomic and Subatomic Physics Research (5 papers) and Cardiac Imaging and Diagnostics (5 papers). G.M. Nijm is often cited by papers focused on Advanced MRI Techniques and Applications (7 papers), Atomic and Subatomic Physics Research (5 papers) and Cardiac Imaging and Diagnostics (5 papers). G.M. Nijm collaborates with scholars based in United States, Philippines and Canada. G.M. Nijm's co-authors include Alan V. Sahakian, Andrew C. Larson, Guang‐Yu Yang, Reed A. Omary, Steven Swiryn, Andrew C. Larson, Yue Zhang, Jason Ng, Haitham M. Al-Angari and Yang Guo and has published in prestigious journals such as Cancer Research, Radiology and Journal of Magnetic Resonance Imaging.

In The Last Decade

G.M. Nijm

12 papers receiving 451 citations

Author Peers

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

Author						Papers	Cites
G.M. Nijm	211	186	152	121	59	12	460
Tamara Polajžer	359 1.7×	221 1.2×	59 0.4×	56 0.5×	77 1.3×	16	544
J.M. Vieveen	364 1.7×	189 1.0×	15 0.1×	106 0.9×	88 1.5×	6	508
Ajita Deodhar	298 1.4×	166 0.9×	31 0.2×	89 0.7×	81 1.4×	14	466
Gordon W. Single	359 1.7×	190 1.0×	38 0.3×	97 0.8×	89 1.5×	6	417
Quim Castellví	236 1.1×	134 0.7×	222 1.5×	42 0.3×	41 0.7×	28	507
William C. Hamilton	297 1.4×	169 0.9×	30 0.2×	81 0.7×	73 1.2×	12	413
Katarina Beravs	287 1.4×	267 1.4×	7 0.0×	91 0.8×	70 1.2×	15	483
Gregory T. Martin	87 0.4×	166 0.9×	6 0.0×	126 1.0×	23 0.4×	17	457
Peter Wagstaff	255 1.2×	160 0.9×	18 0.1×	92 0.8×	40 0.7×	20	408
Isaac Nissenbaum	361 1.7×	245 1.3×	13 0.1×	106 0.9×	76 1.3×	10	471

Countries citing papers authored by G.M. Nijm

Since Specialization

Citations

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

Fields of papers citing papers by G.M. Nijm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.M. Nijm

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