Grant Schoenebeck

2.4k total citations
43 papers, 918 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 918 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, Sudanthi Wijewickrema, Bo Li, James Bailey, Sarah Erfani and Xingjun Ma 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Grant Schoenebeck United States 13 517 231 206 166 143 43 918
Linhong Zhu United States 14 500 1.0× 255 1.1× 226 1.1× 99 0.6× 56 0.4× 18 1.0k
Venkatesh Srinivasan Canada 14 413 0.8× 151 0.7× 192 0.9× 166 1.0× 32 0.2× 77 783
Udi Weinsberg Israel 16 747 1.4× 380 1.6× 303 1.5× 74 0.4× 33 0.2× 36 1.1k
Hung T. Nguyen United States 13 433 0.8× 125 0.5× 138 0.7× 199 1.2× 287 2.0× 39 979
Pierre Senellart France 16 745 1.4× 394 1.7× 373 1.8× 52 0.3× 301 2.1× 48 1.2k
Luciano Barbosa United States 18 941 1.8× 725 3.1× 359 1.7× 137 0.8× 124 0.9× 63 1.6k
Youze Tang Singapore 5 282 0.5× 243 1.1× 282 1.4× 68 0.4× 98 0.7× 5 1.1k
Parag Singla India 16 893 1.7× 269 1.2× 183 0.9× 56 0.3× 241 1.7× 53 1.2k
Kuiyu Chang Singapore 19 795 1.5× 451 2.0× 133 0.6× 65 0.4× 55 0.4× 45 1.1k
Francesco Buccafurri Italy 16 502 1.0× 360 1.6× 345 1.7× 65 0.4× 27 0.2× 104 972

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

20 of 20 papers shown
1.
Schoenebeck, Grant, et al.. (2024). Exit Ripple Effects: Understanding the Disruption of Socialization Networks Following Employee Departures. arXiv (Cornell University). 211–222. 2 indexed citations
2.
Kong, Yuqing, et al.. (2024). Eliciting Informative Text Evaluations with Large Language Models. 582–612. 3 indexed citations
3.
Gao, Jie, et al.. (2019). The Volatility of Weak Ties: Co-evolution of Selection and Influence in Social Networks. Adaptive Agents and Multi-Agents Systems. 619–627. 4 indexed citations
4.
Schoenebeck, Grant, et al.. (2019). Influence Maximization on Undirected Graphs. 423–453. 3 indexed citations
5.
Huang, Jiamin, et al.. (2018). Contention-aware lock scheduling for transactional databases. Very Large Data Bases. 11(5). 648–662. 6 indexed citations
6.
Kong, Yuqing & Grant Schoenebeck. (2018). Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 7 indexed citations
7.
Ma, Xingjun, Bo Li, Yisen Wang, et al.. (2018). Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. Own your potential (DEAKIN). 1–15. 176 indexed citations
8.
Huang, Jiamin, et al.. (2018). Contention-aware lock scheduling for transactional databases. Proceedings of the VLDB Endowment. 11(5). 648–662. 12 indexed citations
9.
Kong, Yuqing & Grant Schoenebeck. (2018). Water from Two Rocks. 177–194. 10 indexed citations
10.
Huang, Jiamin, Barzan Mozafari, Grant Schoenebeck, & Thomas F. Wenisch. (2017). A Top-Down Approach to Achieving Performance Predictability in Database Systems. 745–758. 17 indexed citations
11.
Gao, Jie, et al.. (2016). General Threshold Model for Social Cascades. 617–634. 2 indexed citations
12.
Gao, Jie, et al.. (2015). Complex Contagions in Kleinberg's Small World Model. 63–72. 3 indexed citations
13.
Gao, Jie, et al.. (2014). How Complex Contagions Spread and Spread Quickly.. arXiv (Cornell University). 1 indexed citations
14.
Martin, Travis, Grant Schoenebeck, & Michael P. Wellman. (2014). Characterizing strategic cascades on networks. 113–130. 5 indexed citations
15.
Schoenebeck, Grant. (2013). Potential networks, contagious communities, and understanding social network structure. 1123–1132. 13 indexed citations
16.
Mossel, Elchanan & Grant Schoenebeck. (2010). Reaching Consensus on Social Networks. ScholarlyCommons (University of Pennsylvania). 214–229. 20 indexed citations
17.
Yardi, Sarita, Daniel M. Romero, Grant Schoenebeck, & danah boyd. (2009). Detecting spam in a Twitter network. First Monday. 220 indexed citations
18.
Schoenebeck, Grant, Luca Trevisan, & Madhur Tulsiani. (2007). A Linear Round Lower Bound for Lovasz-Schrijver SDP Relaxations of Vertex Cover. Electronic colloquium on computational complexity. 13. 205–216. 3 indexed citations
19.
Schoenebeck, Grant. (2005). The Computational Complexity of Nash Equilibria in Concisely Represented Games. 25 indexed citations
20.
Parkes, David C. & Grant Schoenebeck. (2004). GROWRANGE: anytime VCG-based mechanisms. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 34–41. 4 indexed citations

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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