Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of P. Gaś'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 P. Gaś with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Gaś more than expected).
This network shows the impact of papers produced by P. Gaś. 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 P. Gaś. The network helps show where P. Gaś may publish in the future.
Co-authorship network of co-authors of P. Gaś
This figure shows the co-authorship network connecting the top 25 collaborators of P. Gaś.
A scholar is included among the top collaborators of P. Gaś 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 P. Gaś. P. Gaś is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gaś, P. & Peter Schmidt. (2013). Impact of tissue parameters on temperature distribution in time-transient analysis of interstitial microwave hyperthermia. PRZEGLĄD ELEKTROTECHNICZNY.1 indexed citations
8.
Gaś, P.. (2013). Transient Temperature Distribution inside Human Brain during Interstitial Microwave Hyperthermia. PRZEGLĄD ELEKTROTECHNICZNY.3 indexed citations
9.
Gaś, P.. (2012). Tissue Temperature Distributions for Different Frequencies derived from Interstitial Microwave Hyperthermia. PRZEGLĄD ELEKTROTECHNICZNY. 131–134.11 indexed citations
10.
Gaś, P., et al.. (2011). Treatment of Tumors Located in the Human Thigh using RF Hyperthermia. PRZEGLĄD ELEKTROTECHNICZNY.11 indexed citations
11.
Gaś, P.. (2011). Zastosowanie promieniowania elektromagnetycznego w leczeniu hipertermią na przykładzie prostego modelu obliczeniowego. Proceedings of Electrotechnical Institute. 57–68.
12.
Gaś, P.. (2011). INFLUENCE OF WIRE GEOMETRY ON TEMPERATURE DISTRIBUTION IN HUMAN BODY DURING RF HYPERTHERMIA. Proceedings of Electrotechnical Institute. 133–143.
13.
Gaś, P., et al.. (2010). Estimation of Temperature Distribution Inside Tissues in External RF Hyperthermia. PRZEGLĄD ELEKTROTECHNICZNY. 100–102.13 indexed citations
14.
Gaś, P., et al.. (2010). Influence of tissue parameters on deep body RF hyperthermia. Poznan University of Technology Academic Journals Electrical Engineering. 63–68.
15.
Gaś, P., et al.. (2010). An Influence of Electrode Geometry on Particle Forces in AC Dielectrophoresis. PRZEGLĄD ELEKTROTECHNICZNY. 103–105.3 indexed citations
16.
Gaś, P., et al.. (2009). Comparison of Polish and European Union legislation on protection against non-ionizing electromagnetic fields. Poznan University of Technology Academic Journals Electrical Engineering. 7–22.1 indexed citations
17.
Gaś, P., et al.. (2009). Calculation of Forces Imposed on Particles in AC Dielectrophoresis. PRZEGLĄD ELEKTROTECHNICZNY. 100–103.2 indexed citations
18.
Gaś, P., et al.. (2009). Distribution of the Temperature in Human Body in RF Hyperthermia. PRZEGLĄD ELEKTROTECHNICZNY. 96–99.7 indexed citations
d’Heurle, F. M., A. E. Michel, F. K. LeGoues, et al.. (1986). Dopant Diffusion in TiSi2. MRS Proceedings. 77.3 indexed citations
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.