Grant Schoenebeck

119 total papers · 2.4k total citations
43 papers, 917 citations indexed

About

Grant Schoenebeck is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Grant Schoenebeck has authored 43 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 16 papers in Management Science and Operations Research and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Grant Schoenebeck's work include Complex Network Analysis Techniques (11 papers), Mobile Crowdsensing and Crowdsourcing (11 papers) and Auction Theory and Applications (10 papers). Grant Schoenebeck is often cited by papers focused on Complex Network Analysis Techniques (11 papers), Mobile Crowdsensing and Crowdsourcing (11 papers) and Auction Theory and Applications (10 papers). Grant Schoenebeck collaborates with scholars based in United States, China and United Kingdom. Grant Schoenebeck's co-authors include danah boyd, Sarita Yardi, Daniel M. Romero, Aaron Roth, Yuqing Kong, Dawn Song, Michael E. Houle, James Bailey, Xingjun Ma and Bo Li and has published in prestigious journals such as Proceedings of the VLDB Endowment, Journal of Artificial Intelligence Research and First Monday.

In The Last Decade

Grant Schoenebeck

41 papers receiving 864 citations

Author Peers

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

Author						Papers	Cites
Grant Schoenebeck	516	230	205	166	143	43	917
Nina Mishra	834 1.6×	187 0.8×	232 1.1×	134 0.8×	73 0.5×	37	1.2k
Linhong Zhu	501 1.0×	254 1.1×	226 1.1×	101 0.6×	56 0.4×	18	1.0k
Abdulrahman Altalhi	340 0.7×	151 0.7×	175 0.9×	51 0.3×	125 0.9×	52	860
Udi Weinsberg	747 1.4×	380 1.7×	303 1.5×	74 0.4×	33 0.2×	36	1.1k
Hung T. Nguyen	434 0.8×	125 0.5×	138 0.7×	199 1.2×	287 2.0×	39	979
Ana Gabriela Maguitman	834 1.6×	387 1.7×	132 0.6×	66 0.4×	44 0.3×	87	1.2k
Pierre Senellart	743 1.4×	392 1.7×	373 1.8×	52 0.3×	299 2.1×	48	1.2k
Dafna Shahaf	554 1.1×	231 1.0×	190 0.9×	35 0.2×	65 0.5×	46	1.0k
Kuiyu Chang	795 1.5×	451 2.0×	133 0.6×	65 0.4×	55 0.4×	45	1.1k
Parag Singla	892 1.7×	269 1.2×	183 0.9×	55 0.3×	240 1.7×	53	1.2k

Countries citing papers authored by Grant Schoenebeck

Since Specialization

Citations

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

Fields of papers citing papers by Grant Schoenebeck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grant Schoenebeck

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