Jeffrey Ichnowski

122 total papers · 1.2k total citations
51 papers, 594 citations indexed

About

Jeffrey Ichnowski is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Jeffrey Ichnowski has authored 51 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 20 papers in Computer Vision and Pattern Recognition and 18 papers in Biomedical Engineering. Recurrent topics in Jeffrey Ichnowski's work include Robot Manipulation and Learning (24 papers), Soft Robotics and Applications (17 papers) and Robotic Path Planning Algorithms (11 papers). Jeffrey Ichnowski is often cited by papers focused on Robot Manipulation and Learning (24 papers), Soft Robotics and Applications (17 papers) and Robotic Path Planning Algorithms (11 papers). Jeffrey Ichnowski collaborates with scholars based in United States, Germany and Switzerland. Jeffrey Ichnowski's co-authors include Ken Goldberg, Ron Alterovitz, Daniel Seita, Brijen Thananjeyan, Michael Danielczuk, Vishal Satish, Minho Hwang, Joseph E. Gonzalez, Ashwin Balakrishna and Thomas Low and has published in prestigious journals such as IEEE Transactions on Robotics, Science Robotics and IEEE Computer Graphics and Applications.

In The Last Decade

Jeffrey Ichnowski

45 papers receiving 572 citations

Author Peers

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

Author						Papers	Cites
Jeffrey Ichnowski	380	205	170	121	95	51	594
Bin Li	245 0.6×	211 1.0×	285 1.7×	101 0.8×	116 1.2×	43	651
Michael Laskey	513 1.4×	220 1.1×	252 1.5×	106 0.9×	93 1.0×	26	695
Ajay Kumar Tanwani	273 0.7×	107 0.5×	116 0.7×	120 1.0×	45 0.5×	26	507
Brijen Thananjeyan	358 0.9×	168 0.8×	253 1.5×	66 0.5×	69 0.7×	25	659
Ulrich Rembold	171 0.5×	131 0.6×	150 0.9×	146 1.2×	57 0.6×	67	592
Bo Zhang	140 0.4×	194 0.9×	123 0.7×	51 0.4×	45 0.5×	65	556
Richard Bormann	192 0.5×	237 1.2×	112 0.7×	61 0.5×	179 1.9×	30	497
Lei Sun	315 0.8×	110 0.5×	263 1.5×	166 1.4×	84 0.9×	112	667
Yu Yao	249 0.7×	83 0.4×	159 0.9×	91 0.8×	27 0.3×	72	571
Marco Cognetti	344 0.9×	171 0.8×	191 1.1×	138 1.1×	118 1.2×	28	613

Countries citing papers authored by Jeffrey Ichnowski

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey Ichnowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Ichnowski

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Ichnowski. A scholar is included among the top collaborators of Jeffrey Ichnowski 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 Jeffrey Ichnowski. Jeffrey Ichnowski 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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