Countries citing papers authored by Maria Eskevich
Since
Specialization
Citations
This map shows the geographic impact of Maria Eskevich'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 Maria Eskevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Eskevich more than expected).
This network shows the impact of papers produced by Maria Eskevich. 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 Maria Eskevich. The network helps show where Maria Eskevich may publish in the future.
Co-authorship network of co-authors of Maria Eskevich
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Eskevich.
A scholar is included among the top collaborators of Maria Eskevich 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 Maria Eskevich. Maria Eskevich is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Eskevich, Maria, Franciska de Jong, Darja Fišer, et al.. (2020). CLARIN: Distributed Language Resources and Technology in a European Infrastructure. Language Resources and Evaluation. 28–34.4 indexed citations
4.
Verberne, Suzan, et al.. (2020). Challenges of Applying Automatic Speech Recognition for Transcribing EU Parliament Committee Meetings: A Pilot Study. Language Resources and Evaluation. 40–43.
5.
Jones, Rosie, Ben Carterette, Ann Clifton, et al.. (2020). TREC 2020 Podcasts Track Overview.. Text REtrieval Conference.1 indexed citations
Graham, Yvette, et al.. (2016). Is all that Glitters in Machine Translation Quality Estimation really Gold. Radboud Repository (Radboud University). 3124–3134.8 indexed citations
8.
Eskevich, Maria & Benoît Huet. (2015). EURECOM @ SAVA2015: Visual Features for Multimedia Search. Graduate School and Research Center in Digital Science (EURECOM).1 indexed citations
Eskevich, Maria, et al.. (2015). SAVA at MediaEval 2015: Search and Anchoring in Video Archives. Graduate School and Research Center in Digital Science (EURECOM).3 indexed citations
Eskevich, Maria, et al.. (2015). Hyper Video Browser. 817–818.6 indexed citations
14.
Eskevich, Maria & Gareth J. F. Jones. (2013). Time-based Segmentation and Use of Jump-in Points in DCU Search Runs at the Search and Hyperlinking Task at MediaEval 2013. Arrow@dit (Dublin Institute of Technology).4 indexed citations
15.
Aly, Robin, Roeland Ordelman, Maria Eskevich, Gareth J. F. Jones, & Shu Chen. (2013). Linking inside a video collection. 457–460.11 indexed citations
Eskevich, Maria, et al.. (2012). Search and hyperlinking task at MediaEval 2012. University of Twente Research Information.54 indexed citations
18.
Eskevich, Maria & Gareth J. F. Jones. (2011). DCU at MediaEval 2011: Rich Speech Retrieval (RSR). MediaEval. 35(8). 41–6.3 indexed citations
19.
Eskevich, Maria & Gareth J. F. Jones. (2011). DCU at the NTCIR-9 SpokenDoc Passage Retrieval Task. Arrow@dit (Dublin Institute of Technology).2 indexed citations
20.
Eskevich, Maria, et al.. (2011). Overview of MediaEval 2011 Rich Speech Retrieval Task and Genre Tagging Task. MediaEval.37 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.