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.
Novelty and diversity in information retrieval evaluation
2008595 citationsCharles L. A. Clarke, Maheedhar Kolla et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Olga Vechtomova
Since
Specialization
Citations
This map shows the geographic impact of Olga Vechtomova'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 Olga Vechtomova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Vechtomova more than expected).
This network shows the impact of papers produced by Olga Vechtomova. 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 Olga Vechtomova. The network helps show where Olga Vechtomova may publish in the future.
Co-authorship network of co-authors of Olga Vechtomova
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Vechtomova.
A scholar is included among the top collaborators of Olga Vechtomova 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 Olga Vechtomova. Olga Vechtomova is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Smucker, Mark D., Charles L. A. Clarke, Gordon V. Cormack, & Olga Vechtomova. (2010). University of Waterloo at TREC 2010: Legal Interactive. Text REtrieval Conference.2 indexed citations
8.
Vechtomova, Olga. (2010). Related Entity Finding: University of Waterloo at TREC 2010 Entity Track.. Text REtrieval Conference.3 indexed citations
Kolla, Maheedhar & Olga Vechtomova. (2007). Enterprise Search: Identifying Relevant Sentences and using them for Query Expansion. Text REtrieval Conference.
13.
Vechtomova, Olga, et al.. (2006). Identifying Relationships Between Entities in Text for Complex Interactive Question Answering Task.. Bilkent University Institutional Repository (Bilkent University).1 indexed citations
14.
Kolla, Maheedhar & Olga Vechtomova. (2006). In Enterprise Search: Methods to Identify Argumentative Discussions and to Find Topical Experts.. Text REtrieval Conference.2 indexed citations
Vechtomova, Olga, et al.. (2004). Approaches to High Accuracy Retrieval: Phrase-Based Search Experiments in the HARD Track.. Text REtrieval Conference.5 indexed citations
17.
Vechtomova, Olga, et al.. (2004). Comparison of Two Interactive Search Refinement Techniques. North American Chapter of the Association for Computational Linguistics. 225–232.1 indexed citations
18.
Vechtomova, Olga, et al.. (2003). Interactive Search Refinement Techniques for HARD Tasks.. Text REtrieval Conference. 820–827.6 indexed citations
19.
Vechtomova, Olga & Stephen Robertson. (2002). Integration of Collocation Statistics into the Probabilistic Retrieval Model. The Journal of Family Practice. 18(6). 833–4.10 indexed citations
20.
Vechtomova, Olga. (2001). Approaches to using word collocation in information retrieval. City Research Online (City University London).3 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.