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.
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
2019414 citationsHenggang Cui, Vladan Radosavljević et al.profile →
Hate Speech Detection with Comment Embeddings
2015408 citationsNemanja Djuric, Jing Zhou 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 Nemanja Djuric
Since
Specialization
Citations
This map shows the geographic impact of Nemanja Djuric'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 Nemanja Djuric with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nemanja Djuric more than expected).
This network shows the impact of papers produced by Nemanja Djuric. 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 Nemanja Djuric. The network helps show where Nemanja Djuric may publish in the future.
Co-authorship network of co-authors of Nemanja Djuric
This figure shows the co-authorship network connecting the top 25 collaborators of Nemanja Djuric.
A scholar is included among the top collaborators of Nemanja Djuric 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 Nemanja Djuric. Nemanja Djuric is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cui, Henggang, Thi Nguyen, Fang‐Chieh Chou, et al.. (2019). Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories. arXiv (Cornell University).7 indexed citations
10.
Djuric, Nemanja, Vladan Radosavljević, Henggang Cui, et al.. (2018). Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks.. arXiv (Cornell University).26 indexed citations
11.
Djuric, Nemanja, Vladan Radosavljević, Henggang Cui, et al.. (2018). Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks. arXiv (Cornell University).20 indexed citations
12.
Djuric, Nemanja, Mihajlo Grbovic, & Slobodan Vučetić. (2016). ParkAssistant: An Algorithm for Guiding a Car to a Parking Spot. Transportation Research Board 95th Annual MeetingTransportation Research Board.6 indexed citations
Djuric, Nemanja, et al.. (2013). Semi-supervised learning for integration of aerosol predictions from multiple satellite instruments. International Joint Conference on Artificial Intelligence. 2797–2803.3 indexed citations
18.
Djuric, Nemanja, Liang Lan, Slobodan Vučetić, & Zhuang Wang. (2013). BudgetedSVM: a toolbox for scalable SVM approximations. Journal of Machine Learning Research. 14(1). 3813–3817.42 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.