Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Michael Lewis'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 Michael Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lewis more than expected).
This network shows the impact of papers produced by Michael Lewis. 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 Michael Lewis. The network helps show where Michael Lewis may publish in the future.
Co-authorship network of co-authors of Michael Lewis
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lewis.
A scholar is included among the top collaborators of Michael Lewis 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 Michael Lewis. Michael Lewis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lewis, Michael. (2015). Flash boys : cracking the money code. Penguin eBooks.16 indexed citations
6.
Zadorozhny, Vladimir, Pei-Ju Lee, & Michael Lewis. (2015). Collaborative information sensemaking for multi-robot search and rescue. D-Scholarship@Pitt (University of Pittsburgh).
7.
Walker, Phillip, et al.. (2012). Investigating Neglect Benevolence and Communication Latency During Human-Swarm Interaction. D-Scholarship@Pitt (University of Pittsburgh).4 indexed citations
8.
Walker, Phillip, et al.. (2012). Robotic Swarm Connectivity with Human Operation and Bandwidth Limitations. D-Scholarship@Pitt (University of Pittsburgh).2 indexed citations
Lewis, Michael & Katia Sycara. (2011). Effects of Automation on Situation Awareness in Controlling Robot Teams. D-Scholarship@Pitt (University of Pittsburgh). 242–248.2 indexed citations
11.
Lewis, Michael, Huadong Wang, Prasanna Velagapudi, Paul Scerri, & Katia Sycara. (2009). Using humans as sensors in robotic search. International Conference on Information Fusion. 1249–1256.21 indexed citations
Lewis, Michael. (2006). Punishment and Power in the Making of Modern Japan. 111(2). 450–451.17 indexed citations
15.
Xu, Yang, Paul Scerri, Bin Yu, Michael Lewis, & Katia Sycara. (2005). A POMDP Approach to Token-Based Team Coordination.10 indexed citations
16.
Lewis, Michael, et al.. (2004). Performance of Dynamically Resizing Message Fields for Differential Serialization of SOAP Messages.. International Conference on Internet Computing. 783–789.9 indexed citations
Viles, Charles L., Michael Lewis, Adam J. Ferrari, Anh Nguyen‐Tuong, & Andrew Grimshaw. (1997). Enabling Flexibility in the Legion Run-Time Library.. Parallel and Distributed Processing Techniques and Applications. 265–274.10 indexed citations
Lewis, Michael & Katia Sycara. (1993). Modeling Multispecialist Decision Making.. International Conference on Human-Computer Interaction. 481–486.1 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.