T. Disz

28 total papers · 12.9k total citations
19 papers, 886 citations indexed

About

T. Disz is a scholar working on Computer Networks and Communications, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, T. Disz has authored 19 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Molecular Biology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in T. Disz's work include Interactive and Immersive Displays (4 papers), Augmented Reality Applications (4 papers) and Distributed and Parallel Computing Systems (4 papers). T. Disz is often cited by papers focused on Interactive and Immersive Displays (4 papers), Augmented Reality Applications (4 papers) and Distributed and Parallel Computing Systems (4 papers). T. Disz collaborates with scholars based in United States, Egypt and Portugal. T. Disz's co-authors include Ross Overbeek, Rick Stevens, Veronika Vonstein, Steven J. Projan, Paul M. Dunman, Kelsi L. Anderson, John Boyle, Barnett W. Glickfeld, Ewing Lusk and Ralph Butler and has published in prestigious journals such as PLoS ONE, Journal of Bacteriology and Microbiology and Molecular Biology Reviews.

In The Last Decade

T. Disz

18 papers receiving 817 citations

Author Peers

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

Author						Papers	Cites
T. Disz	376	287	222	184	130	19	886
Yatish Turakhia	464 1.2×	159 0.6×	190 0.9×	360 2.0×	147 1.1×	36	1.0k
Sanchit Misra	404 1.1×	95 0.3×	80 0.4×	30 0.2×	154 1.2×	41	1.0k
Joanne L. Martin	276 0.7×	115 0.4×	96 0.4×	76 0.4×	151 1.2×	22	905
Elaine Cheong	115 0.3×	161 0.6×	120 0.5×	217 1.2×	12 0.1×	36	941
Richard J. Carter	336 0.9×	65 0.2×	87 0.4×	141 0.8×	80 0.6×	29	799
Jeff Smith	238 0.6×	57 0.2×	45 0.2×	33 0.2×	220 1.7×	26	741
Zhaoguo Wang	185 0.5×	398 1.4×	161 0.7×	37 0.2×	31 0.2×	51	826
Sen Hu	82 0.2×	146 0.5×	122 0.5×	174 0.9×	68 0.5×	33	737
Cristina Aurrecoechea	214 0.6×	273 1.0×	56 0.3×	89 0.5×	12 0.1×	12	709
Hyunseung Yoo	282 0.8×	106 0.4×	23 0.1×	38 0.2×	32 0.2×	24	756

Countries citing papers authored by T. Disz

Since Specialization

Citations

This map shows the geographic impact of T. Disz'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 T. Disz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Disz more than expected).

Fields of papers citing papers by T. Disz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Disz

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