Gregory B. Gajda

38 total papers · 815 total citations
27 papers, 618 citations indexed

About

Gregory B. Gajda is a scholar working on Biomedical Engineering, Biophysics and Electrical and Electronic Engineering. According to data from OpenAlex, Gregory B. Gajda has authored 27 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 17 papers in Biophysics and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Gregory B. Gajda's work include Electromagnetic Fields and Biological Effects (16 papers), Ultrasound and Hyperthermia Applications (11 papers) and Microwave and Dielectric Measurement Techniques (6 papers). Gregory B. Gajda is often cited by papers focused on Electromagnetic Fields and Biological Effects (16 papers), Ultrasound and Hyperthermia Applications (11 papers) and Microwave and Dielectric Measurement Techniques (6 papers). Gregory B. Gajda collaborates with scholars based in Canada, Thailand and United States. Gregory B. Gajda's co-authors include Stanislaw S. Stuchly, James P. McNamee, A. Thansandote, S.S. Stuchly, Pascale V. Bellier, Leonora Marro, M.A. Stuchly, Michael Brady, Vinita Chauhan and Susan M. Miller and has published in prestigious journals such as IEEE Access, IEEE Transactions on Microwave Theory and Techniques and Radiation Research.

In The Last Decade

Gregory B. Gajda

24 papers receiving 582 citations

Author Peers

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

Author						Papers	Cites
Gregory B. Gajda	323	245	235	63	49	27	618
M. Taki	488 1.5×	160 0.7×	335 1.4×	11 0.2×	55 1.1×	33	672
Robert L. McIntosh	242 0.7×	82 0.3×	290 1.2×	9 0.1×	49 1.0×	30	523
A.F. McKinlay	143 0.4×	66 0.3×	78 0.3×	10 0.2×	36 0.7×	32	630
A. Thansandote	391 1.2×	44 0.2×	123 0.5×	71 1.1×	89 1.8×	22	508
T. Dan Bracken	380 1.2×	65 0.3×	104 0.4×	9 0.1×	55 1.1×	39	551
William D. Hurt	314 1.0×	220 0.9×	375 1.6×	2 0.0×	65 1.3×	23	606
Zhaojun Wang	36 0.1×	187 0.8×	73 0.3×	7 0.1×	7 0.1×	34	643
K. Caputa	295 0.9×	274 1.1×	299 1.3×		30 0.6×	32	594
Emmanuelle Conil	381 1.2×	279 1.1×	331 1.4×		10 0.2×	37	579
Peeyush Sahay	29 0.1×	336 1.4×	319 1.4×	6 0.1×	11 0.2×	24	652

Countries citing papers authored by Gregory B. Gajda

Since Specialization

Citations

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

Fields of papers citing papers by Gregory B. Gajda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory B. Gajda. 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 Gregory B. Gajda. The network helps show where Gregory B. Gajda may publish in the future.

Co-authorship network of co-authors of Gregory B. Gajda

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory B. Gajda. A scholar is included among the top collaborators of Gregory B. Gajda 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 Gregory B. Gajda. Gregory B. Gajda 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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