M. K. Dawood

33 total papers · 596 total citations
24 papers, 494 citations indexed

About

M. K. Dawood is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. K. Dawood has authored 24 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 9 papers in Biomedical Engineering and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. K. Dawood's work include Integrated Circuits and Semiconductor Failure Analysis (12 papers), Semiconductor materials and devices (11 papers) and Force Microscopy Techniques and Applications (5 papers). M. K. Dawood is often cited by papers focused on Integrated Circuits and Semiconductor Failure Analysis (12 papers), Semiconductor materials and devices (11 papers) and Force Microscopy Techniques and Applications (5 papers). M. K. Dawood collaborates with scholars based in Singapore, United States and Russia. M. K. Dawood's co-authors include W. K. Choi, Minghui Hong, Henry I. Smith, Carl V. Thompson, R. Rajagopalan, Han Zheng, Kam W. Leong, Y. L. Foo, S. Tripathy and Saif A. Khan and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

M. K. Dawood

22 papers receiving 479 citations

Author Peers

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

Author						Papers	Cites
M. K. Dawood	337	264	203	114	85	24	494
Pascale Maury	352 1.0×	267 1.0×	138 0.7×	112 1.0×	143 1.7×	18	545
Dušan Hemzal	177 0.5×	152 0.6×	174 0.9×	51 0.4×	79 0.9×	29	426
Hans-Peter Herzig	231 0.7×	228 0.9×	116 0.6×	65 0.6×	190 2.2×	18	499
Eunsongyi Lee	240 0.7×	365 1.4×	190 0.9×	57 0.5×	60 0.7×	15	506
John J. Steele	184 0.5×	340 1.3×	131 0.6×	217 1.9×	135 1.6×	14	536
Xiaoxiang Xia	247 0.7×	239 0.9×	133 0.7×	68 0.6×	98 1.2×	31	528
Ren Bin Yang	134 0.4×	241 0.9×	275 1.4×	62 0.5×	65 0.8×	16	516
Susanna Aura	279 0.8×	151 0.6×	83 0.4×	107 0.9×	36 0.4×	17	448
Valeria Lotito	235 0.7×	151 0.6×	263 1.3×	68 0.6×	147 1.7×	17	552
Mengjun Bai	265 0.8×	143 0.5×	226 1.1×	24 0.2×	78 0.9×	22	472

Countries citing papers authored by M. K. Dawood

Since Specialization

Citations

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

Fields of papers citing papers by M. K. Dawood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. K. Dawood

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