James S. McCabe

535 total citations
22 papers, 374 citations indexed

About

James S. McCabe is a scholar working on Artificial Intelligence, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, James S. McCabe has authored 22 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Aerospace Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in James S. McCabe's work include Target Tracking and Data Fusion in Sensor Networks (16 papers), Robotics and Sensor-Based Localization (9 papers) and Inertial Sensor and Navigation (6 papers). James S. McCabe is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (16 papers), Robotics and Sensor-Based Localization (9 papers) and Inertial Sensor and Navigation (6 papers). James S. McCabe collaborates with scholars based in United States. James S. McCabe's co-authors include Suck Won Kim, Matt G. Kushner, Edna B. Foa, Michael Kotlyar, Christopher B. Donahue, Paul Thuras, David E. Adson, Jillian Peterson, Kyle J. DeMars and Jon E. Grant and has published in prestigious journals such as Biological Psychiatry, Journal of Guidance Control and Dynamics and International Journal of Methods in Psychiatric Research.

In The Last Decade

James S. McCabe

21 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James S. McCabe United States	6	156	156	105	66	61	22	374
Yongqiang Tang United States	10	67 0.4×	301 1.9×	170 1.6×	5 0.1×	62 1.0×	11	695
Alexander Nitsch Germany	7	76 0.5×	268 1.7×	27 0.3×	19 0.3×	106 1.7×	19	389
Chenxi Bao China	10	44 0.3×	40 0.3×	16 0.2×	23 0.3×	20 0.3×	19	266
Vijay Nangia United States	7	61 0.4×	582 3.7×	30 0.3×	6 0.1×	209 3.4×	12	900
Michael L. Davidson United States	8	20 0.1×	252 1.6×	22 0.2×	11 0.2×	66 1.1×	21	505
Sanja Abbott United Kingdom	10	145 0.9×	257 1.6×	185 1.8×		132 2.2×	11	620
Jing Xiong China	5	13 0.1×	120 0.8×	188 1.8×	12 0.2×	9 0.1×	11	366
Dandan Fan China	12	38 0.2×	117 0.8×	8 0.1×	9 0.1×	59 1.0×	27	315
B. Silvano Zanutto Argentina	12	12 0.1×	110 0.7×	106 1.0×	5 0.1×	10 0.2×	34	323

Countries citing papers authored by James S. McCabe

Since Specialization

Citations

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

Fields of papers citing papers by James S. McCabe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. McCabe. 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 James S. McCabe. The network helps show where James S. McCabe may publish in the future.

Co-authorship network of co-authors of James S. McCabe

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

All Works

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20 of 20 papers shown

McCabe, James S.. (2022). On A Higher Order Method for Anonymous Feature Processing. AIAA SCITECH 2022 Forum.

McCabe, James S. & Kyle J. DeMars. (2020). Anonymous Feature Processing for Efficient Onboard Navigation. AIAA Scitech 2020 Forum. 4 indexed citations

DeMars, Kyle J., et al.. (2019). Design and Analysis of Descent-to-Landing Navigation Incorporating Terrain Effects. Journal of Spacecraft and Rockets. 57(2). 261–277. 9 indexed citations

McCabe, James S. & Kyle J. DeMars. (2019). Terrain Relative Navigation With Anonymous Features. AIAA Scitech 2019 Forum. 5 indexed citations

McCabe, James S. & Kyle J. DeMars. (2019). Vision‐based, terrain‐aided navigation with decentralized fusion and finite set statistics. NAVIGATION Journal of the Institute of Navigation. 66(3). 537–557. 2 indexed citations

McCabe, James S. & Kyle J. DeMars. (2019). Anonymous Feature-Based Terrain Relative Navigation. Journal of Guidance Control and Dynamics. 43(3). 410–421. 8 indexed citations

McCabe, James S. & Kyle J. DeMars. (2018). Square-Root Consider Filters with Hyperbolic Householder Reflections. Journal of Guidance Control and Dynamics. 41(10). 2098–2111. 4 indexed citations

McCabe, James S. & Kyle J. DeMars. (2018). Fusion Methodologies for Orbit Determination with Distributed Sensor Networks. 1323–1330. 4 indexed citations

McCabe, James S. & Kyle J. DeMars. (2018). Robust, Terrain-Aided Landing Navigation Through Decentralized Fusion and Random Finite Sets. 2018 AIAA Guidance, Navigation, and Control Conference. 2 indexed citations

10.

McCabe, James S.. (2018). Multitarget tracking and terrain-aided navigation using square-root consider filters. 7 indexed citations

11.

McCabe, James S. & Kyle J. DeMars. (2017). Considering Uncertain Parameters in Non-Gaussian Estimation for Single-Target and Multitarget Tracking. Journal of Guidance Control and Dynamics. 40(9). 2138–2150. 5 indexed citations

12.

McCabe, James S., et al.. (2017). Comparison of Factorization-based Filtering for Landing Navigation. AIAA Guidance, Navigation, and Control Conference. 5 indexed citations

13.

Pernicka, Henry J., et al.. (2016). Development and Flight of a Stereoscopic Imager for Use in Spacecraft Close Proximity Operations. 157. 489–500. 1 indexed citations

14.

McCabe, James S. & Kyle J. DeMars. (2016). The Gaussian Mixture Consider Kalman Filter. 158. 1077–1096. 3 indexed citations

15.

McCabe, James S., et al.. (2016). An Investigation of Probabilistic Data Association Filters for Multiple Space Object Tracking. AIAA/AAS Astrodynamics Specialist Conference. 2 indexed citations

16.

DeMars, Kyle J., et al.. (2015). Efficient multi-sensor data fusion for space surveillance. 5212–5217. 2 indexed citations

17.

DeMars, Kyle J. & James S. McCabe. (2014). Multi-Sensor Data Fusion in Non-Gaussian Orbit Determination. AIAA/AAS Astrodynamics Specialist Conference. 4 indexed citations

18.

McCabe, James S. & Kyle J. DeMars. (2014). Particle Filter Methods for Space Object Tracking. AIAA/AAS Astrodynamics Specialist Conference. 11 indexed citations

19.

Kushner, Matt G., Suck Won Kim, Christopher B. Donahue, et al.. (2007). D-Cycloserine Augmented Exposure Therapy for Obsessive-Compulsive Disorder. Biological Psychiatry. 62(8). 835–838. 284 indexed citations

20.

Grant, Jon E., Suck Won Kim, & James S. McCabe. (2006). A Structured Clinical Interview for Kleptomania (SCI-K): preliminary validity and reliability testing. International Journal of Methods in Psychiatric Research. 15(2). 83–94. 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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