Mark Goadrich is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications.
According to data from OpenAlex, Mark Goadrich has authored 14 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 6 papers in Artificial Intelligence and 4 papers in Computer Science Applications. Recurrent topics in Mark Goadrich's work include Teaching and Learning Programming (4 papers), Natural Language Processing Techniques (3 papers) and Data Mining Algorithms and Applications (3 papers). Mark Goadrich is often cited by papers focused on Teaching and Learning Programming (4 papers), Natural Language Processing Techniques (3 papers) and Data Mining Algorithms and Applications (3 papers). Mark Goadrich collaborates with scholars based in United States. Mark Goadrich's co-authors include Jesse Davis, Michael P. Rogers, Jude Shavlik, Matthew C. Jadud, Michael Goldweber, S. Monisha Pulimood and Juan Rodríguez and has published in prestigious journals such as The FASEB Journal, Machine Learning and Biochemistry and Molecular Biology Education.
In The Last Decade
Mark Goadrich
12 papers
receiving
3.9k citations
Hit Papers
What are hit papers?
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.
The relationship between Precision-Recall and ROC curves
20064.0k citationsJesse Davis, Mark GoadrichLirias (KU Leuven)profile →
This map shows the geographic impact of Mark Goadrich'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 Mark Goadrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Goadrich more than expected).
This network shows the impact of papers produced by Mark Goadrich. 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 Mark Goadrich. The network helps show where Mark Goadrich may publish in the future.
Co-authorship network of co-authors of Mark Goadrich
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Goadrich.
A scholar is included among the top collaborators of Mark Goadrich 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 Mark Goadrich. Mark Goadrich is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.