Kyle J. DeMars

114 total papers · 1.1k total citations
77 papers, 760 citations indexed

About

Kyle J. DeMars is a scholar working on Artificial Intelligence, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Kyle J. DeMars has authored 77 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 52 papers in Aerospace Engineering and 11 papers in Computer Networks and Communications. Recurrent topics in Kyle J. DeMars's work include Target Tracking and Data Fusion in Sensor Networks (58 papers), Inertial Sensor and Navigation (35 papers) and Robotics and Sensor-Based Localization (15 papers). Kyle J. DeMars is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (58 papers), Inertial Sensor and Navigation (35 papers) and Robotics and Sensor-Based Localization (15 papers). Kyle J. DeMars collaborates with scholars based in United States. Kyle J. DeMars's co-authors include Moriba Jah, Robert H. Bishop, James S. McCabe, Paul W. Schumacher, Renato Zanetti, R. Scott Erwin, Yang Cheng, Islam I. Hussein, Carolin Frueh and Henry J. Pernicka and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Aerospace and Electronic Systems and Journal of Guidance Control and Dynamics.

In The Last Decade

Kyle J. DeMars

70 papers receiving 684 citations

Author Peers

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

Author						Papers	Cites
Kyle J. DeMars	525	471	136	100	88	77	760
Renato Zanetti	507 1.0×	431 0.9×	78 0.6×	116 1.2×	31 0.4×	86	740
Brandon A. Jones	386 0.7×	335 0.7×	156 1.1×	68 0.7×	40 0.5×	62	736
Seid H. Pourtakdoust	484 0.9×	140 0.3×	114 0.8×	201 2.0×	31 0.4×	90	834
Edmondo Minisci	410 0.8×	142 0.3×	104 0.8×	56 0.6×	31 0.4×	91	750
Manoranjan Majji	373 0.7×	202 0.4×	62 0.5×	184 1.8×	18 0.2×	102	736
Suman Chakravorty	290 0.6×	306 0.6×	21 0.2×	197 2.0×	145 1.6×	94	796
B. W. Parkinson	457 0.9×	125 0.3×	122 0.9×	60 0.6×	112 1.3×	51	717
Richard Linares	392 0.7×	106 0.2×	286 2.1×	75 0.8×	50 0.6×	59	661
Jordi Vilà‐Valls	559 1.1×	366 0.8×	102 0.8×	93 0.9×	162 1.8×	107	864
Hengnian Li	562 1.1×	113 0.2×	278 2.0×	76 0.8×	65 0.7×	104	722

Countries citing papers authored by Kyle J. DeMars

Since Specialization

Citations

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

Fields of papers citing papers by Kyle J. DeMars

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle J. DeMars

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle J. DeMars. A scholar is included among the top collaborators of Kyle J. DeMars 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 Kyle J. DeMars. Kyle J. DeMars 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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