Michał Tadeusiewicz

90 total papers · 847 total citations
75 papers, 693 citations indexed

About

Michał Tadeusiewicz is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Michał Tadeusiewicz has authored 75 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 36 papers in Hardware and Architecture and 20 papers in Computational Theory and Mathematics. Recurrent topics in Michał Tadeusiewicz's work include VLSI and Analog Circuit Testing (36 papers), Integrated Circuits and Semiconductor Failure Analysis (27 papers) and Low-power high-performance VLSI design (19 papers). Michał Tadeusiewicz is often cited by papers focused on VLSI and Analog Circuit Testing (36 papers), Integrated Circuits and Semiconductor Failure Analysis (27 papers) and Low-power high-performance VLSI design (19 papers). Michał Tadeusiewicz collaborates with scholars based in Poland. Michał Tadeusiewicz's co-authors include Stanisław Hałgas and has published in prestigious journals such as IEEE Access, International Journal of Electrical Power & Energy Systems and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Michał Tadeusiewicz

68 papers receiving 606 citations

Author Peers

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

Author						Papers	Cites
Michał Tadeusiewicz	533	437	183	150	70	75	693
M.A. Styblinski	338 0.6×	153 0.4×	40 0.2×	124 0.8×	65 0.9×	54	647
Amith Singhee	640 1.2×	354 0.8×	28 0.2×	63 0.4×	18 0.3×	38	793
Daniel Mueller-Gritschneder	375 0.7×	298 0.7×	57 0.3×	130 0.9×	24 0.3×	98	703
Yiyu Shi	589 1.1×	211 0.5×	29 0.2×	51 0.3×	29 0.4×	68	687
Jia Wang	276 0.5×	126 0.3×	52 0.3×	76 0.5×	37 0.5×	45	618
M.I. Elmasry	324 0.6×	435 1.0×	27 0.1×	67 0.4×	37 0.5×	63	695
Lubomir V. Kolev	117 0.2×	31 0.1×	216 1.2×	460 3.1×	33 0.5×	48	639
V. Visvanathan	664 1.2×	469 1.1×	57 0.3×	74 0.5×	141 2.0×	56	780
Yang Xu	528 1.0×	57 0.1×	157 0.9×	34 0.2×	61 0.9×	53	645
Kei-Yong Khoo	609 1.1×	402 0.9×	20 0.1×	76 0.5×	78 1.1×	51	718

Countries citing papers authored by Michał Tadeusiewicz

Since Specialization

Citations

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

Fields of papers citing papers by Michał Tadeusiewicz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał Tadeusiewicz. 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 Michał Tadeusiewicz. The network helps show where Michał Tadeusiewicz may publish in the future.

Co-authorship network of co-authors of Michał Tadeusiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Tadeusiewicz. A scholar is included among the top collaborators of Michał Tadeusiewicz 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 Michał Tadeusiewicz. Michał Tadeusiewicz 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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