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.
An introduction to latent semantic analysis
19983.2k citationsThomas K. Landauer, Peter W. Foltz et al.Discourse Processesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Darrell Laham'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 Darrell Laham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrell Laham more than expected).
This network shows the impact of papers produced by Darrell Laham. 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 Darrell Laham. The network helps show where Darrell Laham may publish in the future.
Co-authorship network of co-authors of Darrell Laham
This figure shows the co-authorship network connecting the top 25 collaborators of Darrell Laham.
A scholar is included among the top collaborators of Darrell Laham 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 Darrell Laham. Darrell Laham is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
11 of 11 papers shown
1.
Laham, Darrell, et al.. (2014). Stock Market Prediction Using Associative Remote Viewing by Inexperienced Remote Viewers. SHILAP Revista de lepidopterología.8 indexed citations
Laham, Darrell, et al.. (2002). Latent Semantic Analysis for Career Field Analysis and Information Operations.4 indexed citations
5.
Foltz, Peter W., Darrell Laham, & Thomas K. Landauer. (1999). Automated Essay Scoring: Applications to Educational Technology. EdMedia: World Conference on Educational Media and Technology. 1999(1). 939–944.145 indexed citations
Landauer, Thomas K., Peter W. Foltz, & Darrell Laham. (1998). An introduction to latent semantic analysis. Discourse Processes. 25(2-3). 259–284.3173 indexed citations breakdown →
Landauer, Thomas K., Darrell Laham, & Peter W. Foltz. (1997). Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report. Neural Information Processing Systems. 10. 45–51.68 indexed citations
10.
Landauer, Thomas K., Darrell Laham, Bob Rehder, & Michael Schreiner. (1997). How Well Can Passage Meaning be Derived without Using Word Order? A Comparison of Latent Semantic Analysis and Humans. eScholarship (California Digital Library). 412–417.191 indexed citations
11.
Laham, Darrell. (1997). Latent Semantic Analysis Approaches to Categorization. eScholarship (California Digital Library).50 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.