Jacob Crossman

18 papers receiving 282 citations

Peers

Jacob Crossman
Comparison fields: 5 of 71
  • Control and Systems Engineering 137
  • Artificial Intelligence 95
  • Computer Vision and Pattern Recognition 61
  • Computer Networks and Communications 43
  • Aerospace Engineering 41
Replace Michael Hofbaur with:
Michael Hofbaur Austria
Raymond Sheh Australia
George K. Fourlas Greece
Vincent Berenz Japan
Swaminathan Gopalswamy United States
Ruffin White United States
Samantha Rajapaksha Sri Lanka
Daehyung Park United States
Pablo Javier Alsina Brazil
Jacob Crossman relative to Michael Hofbaur Austria Michael Hofbaur's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Jacob Crossman

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Crossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob Crossman. 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 Jacob Crossman. The network helps show where Jacob Crossman may publish in the future.

Co-authorship network of co-authors of Jacob Crossman

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Crossman. A scholar is included among the top collaborators of Jacob Crossman 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 Jacob Crossman. Jacob Crossman 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
#WorkIndexed citations
1 4
2 0
3 1
4 14
5 5
6 8
7 56
8 8
9
A Smart Interaction Device for Multi-Modal Human-Robot Dialogue
1
10 1
11
Integrating Dynamic Social Networks and Spatio-Temporal Models for Risk Assessment, Wargaming and Planning
1
12
High-level Behavior Representation Languages Revisited
16
13
An Abstract Language for Cognitive Modeling
14
14 12
15
A High-Level Symbolic Representation for Intelligent Agents Across Multiple Architectures
1
16
An Intelligent Interface-Agent Framework for Supervisory Command and Control
1
17 48
18 2
19 2
20 45

About Jacob Crossman

Jacob Crossman is a scholar working on Software, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 22 papers that have together received 313 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (6 papers), Fault Detection and Control Systems (3 papers) and Robotics and Automated Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (137 citations), Software (16 citations) and Computer Vision and Pattern Recognition (61 citations). Jacob Crossman has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Yi Lu Murphey, Hong Guo, Zhihang Chen, Matthew A. Coleman, Edwin Olson, Randolph M. Jones, Paul Richardson, Robert Marinier, Steven R. Haynes and Richard L. Lewis. Their work appears in journals such as IEEE Transactions on Vehicular Technology, SAE technical papers on CD-ROM/SAE technical paper series and Autism Research.

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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