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.
Indoor-outdoor image classification
2002406 citationsMartin Szummer, Rosalind W. Picardprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Martin Szummer
Since
Specialization
Citations
This map shows the geographic impact of Martin Szummer'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 Martin Szummer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Szummer more than expected).
This network shows the impact of papers produced by Martin Szummer. 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 Martin Szummer. The network helps show where Martin Szummer may publish in the future.
Co-authorship network of co-authors of Martin Szummer
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Szummer.
A scholar is included among the top collaborators of Martin Szummer 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 Martin Szummer. Martin Szummer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Welbl, Johannes, Po-Sen Huang, Robert Stanforth, et al.. (2020). Towards Verified Robustness under Text Deletion Interventions. International Conference on Learning Representations.3 indexed citations
Gašić, Milica, Catherine Breslin, Matthew Henderson, et al.. (2013). POMDP-based dialogue manager adaptation to extended domains. Cambridge University Engineering Department Publications Database. 214–222.35 indexed citations
Mickens, James, Martin Szummer, & Dushyanth Narayanan. (2007). Snitch: interactive decision trees for troubleshooting misconfigurations. 8.20 indexed citations
14.
Szummer, Martin & Chris Bishop. (2006). Discriminative Writer Adaptation. 293–298.7 indexed citations
15.
Szummer, Martin, et al.. (2005). A Graphical Model for Simultaneous Partitioning and Labeling.. International Conference on Artificial Intelligence and Statistics.17 indexed citations
Szummer, Martin, et al.. (2004). Incorporating Context and User Feedback in Pen-Based Interfaces.. National Conference on Artificial Intelligence. 159–166.4 indexed citations
Szummer, Martin & Rosalind W. Picard. (2002). Temporal texture modeling. 3. 823–826.200 indexed citations
20.
Szummer, Martin & Tommi Jaakkola. (2000). Kernel Expansions with Unlabeled Examples. 13. 626–632.19 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.