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 multisensor data fusion
19971.7k citationsDavid L. Hall, James Llinasprofile →
This map shows the geographic impact of James Llinas'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 James Llinas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Llinas more than expected).
This network shows the impact of papers produced by James Llinas. 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 James Llinas. The network helps show where James Llinas may publish in the future.
Co-authorship network of co-authors of James Llinas
This figure shows the co-authorship network connecting the top 25 collaborators of James Llinas.
A scholar is included among the top collaborators of James Llinas 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 James Llinas. James Llinas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Snidaro, Lauro, et al.. (2016). Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge. CERN Document Server (European Organization for Nuclear Research).44 indexed citations
5.
Schlegel, Daniel, et al.. (2014). Systemic test and evaluation of a hard+soft information fusion framework: Challenges and current approaches. International Conference on Information Fusion. 1–8.12 indexed citations
6.
Blasch, Erik, Alan N. Steinberg, Subrata Das, et al.. (2013). Revisiting the JDL model for information exploitation. International Conference on Information Fusion. 129–136.89 indexed citations
7.
Snidaro, Lauro, et al.. (2013). Context in fusion: Some considerations in a JDL perspective. Institutional Research Information System (University of Udine). 115–120.5 indexed citations
8.
Llinas, James, et al.. (2012). Network and infrastructure considerations for hard and soft information fusion processes. International Conference on Information Fusion. 627–634.5 indexed citations
9.
García, Fernando, et al.. (2011). Fusion based safety application for pedestrian detection with danger estimation. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1–8.13 indexed citations
10.
Llinas, James, et al.. (2011). Specificity and merging challenges in soft data association. International Conference on Information Fusion. 1–8.2 indexed citations
Llinas, James, et al.. (2009). Evaluation methods for distributed multi-platform systems in electronic warfare and information-warfare related missions. International Conference on Information Fusion. 163–170.2 indexed citations
Corchado, Juan M., et al.. (2008). International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI08). Springer eBooks.1 indexed citations
15.
Llinas, James, et al.. (2008). Graphical methods for real-time fusion and estimation with soft message data. International Conference on Information Fusion. 1–8.37 indexed citations
16.
Llinas, James, et al.. (2008). Enhancing graph matching techniques with ontologies. International Conference on Information Fusion. 1–8.6 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.