J.K. Rosenblatt

13 total papers · 840 total citations
11 papers, 516 citations indexed

About

J.K. Rosenblatt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, J.K. Rosenblatt has authored 11 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in J.K. Rosenblatt's work include Robotic Path Planning Algorithms (7 papers), AI-based Problem Solving and Planning (4 papers) and Robotics and Sensor-Based Localization (4 papers). J.K. Rosenblatt is often cited by papers focused on Robotic Path Planning Algorithms (7 papers), AI-based Problem Solving and Planning (4 papers) and Robotics and Sensor-Based Localization (4 papers). J.K. Rosenblatt collaborates with scholars based in United States and Australia. J.K. Rosenblatt's co-authors include David W. Payton, David M. Keirsey, Martial Hebert, Dirk Langer, Hugh Durrant‐Whyte, T. Bailey, E. Nebot, C. Thorpe, Jimmy Krozel and David Tseng and has published in prestigious journals such as IEEE Transactions on Robotics and Automation, Applied Intelligence and IEEE Intelligent Systems and their Applications.

In The Last Decade

J.K. Rosenblatt

11 papers receiving 460 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J.K. Rosenblatt 362 216 167 107 85 11 516
Tingxiang Fan 332 0.9× 190 0.9× 186 1.1× 122 1.1× 108 1.3× 16 563
Jianhua Zhang 349 1.0× 132 0.6× 175 1.0× 151 1.4× 56 0.7× 7 457
Anthony Mallet 319 0.9× 313 1.4× 105 0.6× 149 1.4× 71 0.8× 19 591
Kaicheng Zhang 214 0.6× 138 0.6× 135 0.8× 67 0.6× 102 1.2× 10 464
Saroj Kumar Pradhan 327 0.9× 105 0.5× 141 0.8× 204 1.9× 75 0.9× 18 448
Kyohei Otsu 255 0.7× 217 1.0× 70 0.4× 91 0.9× 81 1.0× 26 480
Curtis M. Humphrey 206 0.6× 258 1.2× 84 0.5× 83 0.8× 111 1.3× 16 529
Matthieu Herrb 296 0.8× 164 0.8× 159 1.0× 161 1.5× 130 1.5× 18 583
Tim Barfoot 257 0.7× 213 1.0× 64 0.4× 126 1.2× 127 1.5× 21 528
Scott Thayer 276 0.8× 253 1.2× 60 0.4× 58 0.5× 75 0.9× 22 465

Countries citing papers authored by J.K. Rosenblatt

Since Specialization
Citations

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

Fields of papers citing papers by J.K. Rosenblatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.K. Rosenblatt. 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 J.K. Rosenblatt. The network helps show where J.K. Rosenblatt may publish in the future.

Co-authorship network of co-authors of J.K. Rosenblatt

This figure shows the co-authorship network connecting the top 25 collaborators of J.K. Rosenblatt. A scholar is included among the top collaborators of J.K. Rosenblatt 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 J.K. Rosenblatt. J.K. Rosenblatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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