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.
2017HAL (Le Centre pour la Communication Scientifique Directe)
2009Machine Learning
2007CaltechAUTHORS (California Institute of Technology)
This map shows the geographic impact of Thomas Finley'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 Thomas Finley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Finley more than expected).
This network shows the impact of papers produced by Thomas Finley. 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 Thomas Finley. The network helps show where Thomas Finley may publish in the future.
Co-authors
The 20 scholars most cited alongside Thomas Finley, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Thomas FinleyLine = papers co-authored togetherThomas Finley links everyone, so they are left out of the graph.
All Works
17 of 17 papers shown
#
Work
1
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
Thomas Finley is a scholar working on Artificial Intelligence, Computer Science Applications, Molecular Biology, Information Systems and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 8.2k indexed citations. Recurring topics across this work include Teaching and Learning Programming (4 papers), Data Mining Algorithms and Applications (2 papers), Algorithms and Data Compression (2 papers), Machine Learning and Algorithms (2 papers), Natural Language Processing Techniques (2 papers), Logic, programming, and type systems (2 papers), Topic Modeling (2 papers) and DNA and Biological Computing (2 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (513 citations), Environmental Engineering (627 citations) and Health Information Management (188 citations). Thomas Finley has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Wei Chen, Weidong Ma, Taifeng Wang, Guolin Ke, Qiwei Ye, Tie‐Yan Liu, Qi Meng, Thorsten Joachims, Chun-Nam Yu and Filip Radlinski. Their work appears in journals such as Machine Learning, Annals of Surgery, ACM SIGCSE Bulletin, HAL (Le Centre pour la Communication Scientifique Directe) and eCommons (Cornell University).
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.