Frank Mascarich

38 total papers · 1.6k total citations
25 papers, 979 citations indexed

About

Frank Mascarich is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Frank Mascarich has authored 25 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Aerospace Engineering, 15 papers in Computer Vision and Pattern Recognition and 5 papers in Mechanical Engineering. Recurrent topics in Frank Mascarich's work include Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (13 papers) and Robotic Locomotion and Control (5 papers). Frank Mascarich is often cited by papers focused on Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (13 papers) and Robotic Locomotion and Control (5 papers). Frank Mascarich collaborates with scholars based in United States, Norway and India. Frank Mascarich's co-authors include Kostas Alexis, Shehryar Khattak, Tung Dang, Christos Papachristos, Huan Nguyen, Marco Hutter, Marco Tranzatto, Mihir Kulkarni, Mihir Dharmadhikari and Nikhil Khedekar and has published in prestigious journals such as Science Robotics, Autonomous Robots and Journal of Field Robotics.

In The Last Decade

Frank Mascarich

25 papers receiving 947 citations

Hit Papers

CERBERUS in the DARPA Sub... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Frank Mascarich 714 624 152 130 114 25 979
Tung Dang 680 1.0× 637 1.0× 130 0.9× 120 0.9× 75 0.7× 22 871
Christian Dornhege 749 1.0× 708 1.1× 185 1.2× 132 1.0× 144 1.3× 39 1.2k
Stefan Kohlbrecher 748 1.0× 587 0.9× 267 1.8× 131 1.0× 150 1.3× 31 1.1k
Korbinian Schmid 754 1.1× 631 1.0× 283 1.9× 93 0.7× 88 0.8× 14 1.2k
Joan Solà 668 0.9× 549 0.9× 144 0.9× 71 0.5× 114 1.0× 45 934
David Droeschel 625 0.9× 586 0.9× 208 1.4× 116 0.9× 191 1.7× 33 1.0k
Teodor Tomić 728 1.0× 602 1.0× 299 2.0× 94 0.7× 62 0.5× 14 1.1k
John G. Rogers 536 0.8× 523 0.8× 143 0.9× 107 0.8× 102 0.9× 60 892
Andreas Dömel 522 0.7× 443 0.7× 233 1.5× 107 0.8× 61 0.5× 18 861
Jonathan Kelly 683 1.0× 567 0.9× 138 0.9× 87 0.7× 114 1.0× 52 1.1k

Countries citing papers authored by Frank Mascarich

Since Specialization
Citations

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

Fields of papers citing papers by Frank Mascarich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Mascarich

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