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.
Countries citing papers authored by David A. Evans
Since
Specialization
Citations
This map shows the geographic impact of David A. Evans'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 David A. Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Evans more than expected).
This network shows the impact of papers produced by David A. Evans. 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 David A. Evans. The network helps show where David A. Evans may publish in the future.
Co-authorship network of co-authors of David A. Evans
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Evans.
A scholar is included among the top collaborators of David A. Evans 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 David A. Evans. David A. Evans is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Evans, David A., et al.. (2004). TREC 2004 HARD Track Experiments in Clustering.. Text REtrieval Conference.1 indexed citations
8.
Evans, David A., et al.. (2002). CLARIT Experiments in Batch Filtering: Term Selection and Threshold Optimization in IR and SVM Filters.. Text REtrieval Conference.4 indexed citations
9.
Qu, Yan, Gregory Grefenstette, & David A. Evans. (2002). Resolving Translation Ambiguity using Monolingual Corpora. A Report on Clairvoyance CLEF-2002 Experiments.. CLEF (Working Notes).1 indexed citations
10.
Jones, LaToya S., et al.. (2001). Experience with a one-stop colorectal clinic.. PubMed. 46(2). 96–7.11 indexed citations
11.
Zhai, ChengXiang, et al.. (1999). Optimization in CLARIT TREC-8 Adaptive Filtering.. Text REtrieval Conference.8 indexed citations
12.
Evans, David A., et al.. (1998). Effectiveness of Clustering in Ad-Hoc Retrieval.. Text REtrieval Conference. 90–95.7 indexed citations
13.
Mann, Roger & David A. Evans. (1998). Estimation Of Oyster, Crassostrea Virginica, Standing Stock, Larval Production And Advective Loss In Relation To Observed Recruitment In The James River, Virginia. Journal of Shellfish Research. 17(1). 239.43 indexed citations
14.
Milić-Frayling, Nataša, et al.. (1996). CLARIT compound queries and constraint-controlled feedback in TREC-5 Ad-Hoc experiments. Text REtrieval Conference. 315–334.2 indexed citations
15.
Evans, David A., et al.. (1996). A Statistical Approach to Automatic OCR Error Correction in Context. International Conference on Computational Linguistics.79 indexed citations
16.
Zhai, ChengXiang, et al.. (1996). OCR correction and query expansion for retrieval on OCR data : CLARIT TREC-5 confusion track report. Text REtrieval Conference. 341–345.11 indexed citations
17.
Evans, David A., et al.. (1994). Specifying adverse drug reactions by formulating contexts through clarit processing of medical abstracts. Data Archiving and Networked Services (DANS). 82–93.4 indexed citations
18.
Evans, David A., et al.. (1993). Design and evaluation of the CLARIT-TREC-2 system. Text REtrieval Conference. 137–150.45 indexed citations
19.
Evans, David A., et al.. (1992). CLARIT TREC design, experiments, and results. Text REtrieval Conference. 251–286.18 indexed citations
20.
Evans, David A.. (1988). Pragmatically-Structured, Lexical-Semantic Knowledge Bases for Unified Medical Language Systems. PubMed Central. 169–173.7 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.