Citations per field, relative to JamesJ. Schlesselman
JamesJ. Schlesselman · 1×
×0.313PHEOH
×0.27RM
×0.930ONCOL
×2.441SP
×1.624EE
Citations per year, relative to JamesJ. Schlesselman
JamesJ. Schlesselman · 1×
2016
2017
2018
2019
2020
2021
2022
2023
2024
Countries citing papers authored by JamesJ. Schlesselman
Since
Specialization
Citations
This map shows the geographic impact of JamesJ. Schlesselman'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 JamesJ. Schlesselman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JamesJ. Schlesselman more than expected).
Fields of papers citing papers by JamesJ. Schlesselman
This network shows the impact of papers produced by JamesJ. Schlesselman. 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 JamesJ. Schlesselman. The network helps show where JamesJ. Schlesselman may publish in the future.
Co-authorship network of co-authors of JamesJ. Schlesselman
This figure shows the co-authorship network connecting the top 25 collaborators of JamesJ. Schlesselman.
A scholar is included among the top collaborators of JamesJ. Schlesselman 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 JamesJ. Schlesselman. JamesJ. Schlesselman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
1971·Journal of the Royal Statistical Society Series B (Statistical Methodology)·JamesJ. Schlesselman
53
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.