Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
This map shows the geographic impact of Waterman'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 Waterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Waterman more than expected).
This network shows the impact of papers produced by Waterman. 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 Waterman. The network helps show where Waterman may publish in the future.
Waterman is a scholar working on Applied Mathematics, Mathematical Physics, Control and Systems Engineering, Computational Theory and Mathematics and Management Science and Operations Research, having authored 8 papers that have together received 902 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (1 paper), Advanced Harmonic Analysis Research (1 paper), Optimization and Variational Analysis (1 paper), Mathematical and Theoretical Analysis (1 paper), Functional Equations Stability Results (1 paper) and Stability and Controllability of Differential Equations (1 paper). The work is most often cited by research in Software (49 citations), Artificial Intelligence (357 citations), Management Science and Operations Research (113 citations), Management Information Systems (70 citations) and Industrial and Manufacturing Engineering (77 citations). Waterman has collaborated with scholars based in United States. Their work appears in journals such as Real Analysis Exchange.
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.