David Graves

36 total papers · 480 total citations
5 papers, 439 citations indexed

About

David Graves is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, David Graves has authored 5 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Electrical and Electronic Engineering, 2 papers in Materials Chemistry and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in David Graves's work include Luminescence and Fluorescent Materials (2 papers), Organic Electronics and Photovoltaics (2 papers) and Organic Light-Emitting Diodes Research (2 papers). David Graves is often cited by papers focused on Luminescence and Fluorescent Materials (2 papers), Organic Electronics and Photovoltaics (2 papers) and Organic Light-Emitting Diodes Research (2 papers). David Graves collaborates with scholars based in United States, United Kingdom and Poland. David Graves's co-authors include Fernando B. Dias, Vygintas Jankus, Andrew P. Monkman, José Santos, Przemysław Data, Martin R. Bryce, Brandon Curtis, Ali Mesbah, Dogan Gidon and Éduardo Bruera and has published in prestigious journals such as Advanced Functional Materials, Current Oncology and Bulletin of the American Physical Society.

In The Last Decade

David Graves

5 papers receiving 437 citations

Author Peers

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

Author Last Decade Papers Cites
David Graves 420 307 62 35 25 5 439
Marco Colella 378 0.9× 283 0.9× 54 0.9× 45 1.3× 21 0.8× 10 410
Wei‐Chieh Tang 375 0.9× 262 0.9× 73 1.2× 10 0.3× 22 0.9× 5 393
Xianhao Lv 369 0.9× 329 1.1× 64 1.0× 23 0.7× 23 0.9× 9 406
Jixiong Liang 421 1.0× 393 1.3× 44 0.7× 24 0.7× 46 1.8× 10 469
Gregory D. Gutierrez 127 0.3× 423 1.4× 34 0.5× 55 1.6× 45 1.8× 5 478
Makoto Satsuki 114 0.3× 242 0.8× 71 1.1× 34 1.0× 25 1.0× 6 372
Xiangyu Zhu 354 0.8× 337 1.1× 51 0.8× 14 0.4× 42 1.7× 10 412
Seok‐Hwan Hwang 385 0.9× 247 0.8× 92 1.5× 7 0.2× 46 1.8× 8 421
Chen‐Han Lu 375 0.9× 317 1.0× 22 0.4× 23 0.7× 47 1.9× 13 413
Tswen‐Hsin Liu 368 0.9× 191 0.6× 158 2.5× 11 0.3× 26 1.0× 12 390

Countries citing papers authored by David Graves

Since Specialization
Citations

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

Fields of papers citing papers by David Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Graves

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