Frank Mascarich

1.7k total citations · 1 hit paper
25 papers, 999 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 999 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 Modular Robots and Swarm Intelligence (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 Modular Robots and Swarm Intelligence (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, Marco Tranzatto, Huan Nguyen, Marco Hutter, 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 964 citations

Hit Papers

CERBERUS in the DARPA Sub... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frank Mascarich United States 16 724 634 158 132 115 25 999
Tung Dang United States 15 689 1.0× 647 1.0× 132 0.8× 121 0.9× 77 0.7× 22 882
Shehryar Khattak United States 20 1.0k 1.4× 874 1.4× 179 1.1× 163 1.2× 192 1.7× 41 1.4k
Sören Schwertfeger China 18 745 1.0× 630 1.0× 114 0.7× 94 0.7× 234 2.0× 77 1.1k
Korbinian Schmid Germany 10 754 1.0× 631 1.0× 288 1.8× 95 0.7× 88 0.8× 14 1.2k
Teodor Tomić Germany 11 729 1.0× 603 1.0× 303 1.9× 96 0.7× 62 0.5× 14 1.1k
Jonathan Kelly Canada 16 692 1.0× 574 0.9× 142 0.9× 90 0.7× 116 1.0× 54 1.1k
Titus Cieslewski Switzerland 13 557 0.8× 502 0.8× 120 0.8× 79 0.6× 84 0.7× 20 771
Begoña C. Arrue Spain 21 585 0.8× 641 1.0× 236 1.5× 170 1.3× 41 0.4× 59 1.3k
Christoforos Kanellakis Sweden 14 552 0.8× 521 0.8× 156 1.0× 60 0.5× 75 0.7× 66 816
Michael Trentini Canada 15 495 0.7× 357 0.6× 205 1.3× 146 1.1× 36 0.3× 45 814

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

20 of 20 papers shown
1.
Tranzatto, Marco, Takahiro Miki, Mihir Dharmadhikari, et al.. (2022). CERBERUS in the DARPA Subterranean Challenge. Science Robotics. 7(66). eabp9742–eabp9742. 155 indexed citations breakdown →
2.
Mascarich, Frank, et al.. (2022). Autonomous mapping and spectroscopic analysis of distributed radiation fields using aerial robots. Autonomous Robots. 47(2). 139–160. 9 indexed citations
3.
Petris, Paolo De, Huan Nguyen, Mihir Dharmadhikari, et al.. (2022). RMF-Owl: A Collision-Tolerant Flying Robot for Autonomous Subterranean Exploration. 536–543. 22 indexed citations
4.
Petris, Paolo De, Huan Nguyen, Mihir Kulkarni, Frank Mascarich, & Kostas Alexis. (2021). Resilient Collision-tolerant Navigation in Confined Environments. 2286–2292. 18 indexed citations
5.
Dang, Tung, Marco Tranzatto, Shehryar Khattak, et al.. (2020). Graph‐based subterranean exploration path planning using aerial and legged robots. Journal of Field Robotics. 37(8). 1363–1388. 157 indexed citations
6.
Khattak, Shehryar, Huan Nguyen, Frank Mascarich, Tung Dang, & Kostas Alexis. (2020). Complementary Multi–Modal Sensor Fusion for Resilient Robot Pose Estimation in Subterranean Environments. 1024–1029. 99 indexed citations
7.
Mascarich, Frank, Huan Nguyen, Tung Dang, et al.. (2020). A Self-Deployed Multi-Channel Wireless Communications System for Subterranean Robots. 8 indexed citations
8.
Petris, Paolo De, Huan Nguyen, Tung Dang, Frank Mascarich, & Kostas Alexis. (2020). Collision-tolerant Autonomous Navigation through Manhole-sized Confined Environments. 84–89. 14 indexed citations
9.
10.
Papachristos, Christos, Frank Mascarich, Shehryar Khattak, Tung Dang, & Kostas Alexis. (2019). Localization uncertainty-aware autonomous exploration and mapping with aerial robots using receding horizon path-planning. Autonomous Robots. 43(8). 2131–2161. 44 indexed citations
11.
Dang, Tung, Frank Mascarich, Shehryar Khattak, Christos Papachristos, & Kostas Alexis. (2019). Graph-based Path Planning for Autonomous Robotic Exploration in Subterranean Environments. 3105–3112. 114 indexed citations
12.
Dang, Tung, Shehryar Khattak, Frank Mascarich, & Kostas Alexis. (2019). Explore Locally, Plan Globally: A Path Planning Framework for Autonomous Robotic Exploration in Subterranean Environments. 9–16. 35 indexed citations
13.
Khattak, Shehryar, Frank Mascarich, Tung Dang, Christos Papachristos, & Kostas Alexis. (2019). Robust Thermal-Inertial Localization for Aerial Robots: A Case for Direct Methods. 1061–1068. 28 indexed citations
14.
Khedekar, Nikhil, Frank Mascarich, Christos Papachristos, Tung Dang, & Kostas Alexis. (2019). Contact–based Navigation Path Planning for Aerial Robots. 4161–4167. 14 indexed citations
15.
Dang, Tung, Frank Mascarich, Shehryar Khattak, et al.. (2019). Field-hardened Robotic Autonomy for Subterranean Exploration. 18 indexed citations
16.
Papachristos, Christos, Shehryar Khattak, Frank Mascarich, & Kostas Alexis. (2019). Autonomous Navigation and Mapping in Underground Mines Using Aerial Robots. 1–8. 53 indexed citations
17.
Mascarich, Frank, Shehryar Khattak, Christos Papachristos, & Kostas Alexis. (2018). A multi-modal mapping unit for autonomous exploration and mapping of underground tunnels. 1–7. 41 indexed citations
18.
Mascarich, Frank, et al.. (2018). Radiation Source Localization in GPS-Denied Environments Using Aerial Robots. 6537–6544. 29 indexed citations
19.
Papachristos, Christos, Tung Dang, Shehryar Khattak, et al.. (2018). Modeling, Control, State Estimation and Path Planning Methods for Autonomous Multirotor Aerial Robots. now publishers, Inc. eBooks. 6 indexed citations
20.
Papachristos, Christos, Tung Dang, Shehryar Khattak, et al.. (2018). Modeling, Control, State Estimation and Path Planning Methods for Autonomous Multirotor Aerial Robots. 7(3). 180–250. 10 indexed citations

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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