Tod S. Levitt

1.0k total citations
31 papers, 486 citations indexed

About

Tod S. Levitt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Tod S. Levitt has authored 31 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Aerospace Engineering. Recurrent topics in Tod S. Levitt's work include Bayesian Modeling and Causal Inference (8 papers), AI-based Problem Solving and Planning (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Tod S. Levitt is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), AI-based Problem Solving and Planning (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Tod S. Levitt collaborates with scholars based in United States. Tod S. Levitt's co-authors include Daryl T. Lawton, Kathryn Blackmond Laskey, Suzanne M. Mahoney, Thomas O. Binford, Marcus W. Hedgcock, Jay Glicksman, David Chelberg, Philip Nelson, Bruce D’Ambrosio and Gil J. Ettinger and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Artificial Intelligence.

In The Last Decade

Tod S. Levitt

27 papers receiving 432 citations

Peers

Tod S. Levitt
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 223
  • Artificial Intelligence 186
  • Aerospace Engineering 177
  • Computer Networks and Communications 84
  • Industrial and Manufacturing Engineering 44
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Citations per field, relative to Tod S. Levitt
Tod S. Levitt · 1×
Citations per year, relative to Tod S. Levitt
Tod S. Levitt · 1×

Countries citing papers authored by Tod S. Levitt

Since Specialization
Citations

This map shows the geographic impact of Tod S. Levitt'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 Tod S. Levitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tod S. Levitt more than expected).

Fields of papers citing papers by Tod S. Levitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tod S. Levitt. 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 Tod S. Levitt. The network helps show where Tod S. Levitt may publish in the future.

Co-authorship network of co-authors of Tod S. Levitt

This figure shows the co-authorship network connecting the top 25 collaborators of Tod S. Levitt. A scholar is included among the top collaborators of Tod S. Levitt 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 Tod S. Levitt. Tod S. Levitt 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
# Work Indexed citations
1 14
2 3
3 15
4 9
5
Learning Object Models From Visual Observation and Background Knowledge
0
6 9
7 4
8 224
9 6
10 5
11
Uncertainty in Artificial Intelligence - Workshop Report.
1
12 3
13 12
14 1
15
Qualitatne landmark-based path planning and following
19
16 20
17 0
18 7
19 57
20 1

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.

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