William Millar

510 total citations
19 papers, 249 citations indexed

About

William Millar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, William Millar has authored 19 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Aerospace Engineering. Recurrent topics in William Millar's work include AI-based Problem Solving and Planning (8 papers), Gyrotron and Vacuum Electronics Research (4 papers) and Particle accelerators and beam dynamics (4 papers). William Millar is often cited by papers focused on AI-based Problem Solving and Planning (8 papers), Gyrotron and Vacuum Electronics Research (4 papers) and Particle accelerators and beam dynamics (4 papers). William Millar collaborates with scholars based in United States, United Kingdom and Switzerland. William Millar's co-authors include Edward B. Gamble, Brian C. Williams, James Kurien, Gregory A. Dorais, Bob Kanefsky, Nicola Muscettola, Douglas E. Bernard, Kanna Rajan, P. Pandurang Nayak and Barney Pell and has published in prestigious journals such as Journal of Applied Physics, Autonomous Agents and Multi-Agent Systems and Physical Review Accelerators and Beams.

In The Last Decade

William Millar

15 papers receiving 223 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Millar United States	9	136	88	52	46	25	19	249
L. Alkalai United States	9	45 0.3×	131 1.5×	29 0.6×	131 2.8×	53 2.1×	73	388
Jonathan M. Stone United States	8	59 0.4×	232 2.6×	10 0.2×	56 1.2×	4 0.2×	10	329
Tuhin Sahai United States	9	48 0.4×	29 0.3×	47 0.9×	68 1.5×	15 0.6×	25	226
Qinghua Zhang China	10	119 0.9×	119 1.4×	15 0.3×	8 0.2×	8 0.3×	40	309
Bruno Cernuschi-Frías Argentina	9	41 0.3×	18 0.2×	15 0.3×	50 1.1×	18 0.7×	61	275
Kar‐Ming Cheung United States	9	31 0.2×	69 0.8×	19 0.4×	215 4.7×	4 0.2×	82	320
David Vandevoorde United States	6	58 0.4×	45 0.5×	10 0.2×	3 0.1×	23 0.9×	8	195
Telikepalli Kavitha India	6	46 0.3×	54 0.6×	9 0.2×	19 0.4×	5 0.2×	10	198
Michael K. Sain United States	11	42 0.3×	38 0.4×	251 4.8×	25 0.5×	4 0.2×	49	395

Countries citing papers authored by William Millar

Since Specialization

Citations

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

Fields of papers citing papers by William Millar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Millar

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

All Works

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19 of 19 papers shown

Millar, William, et al.. (2024). THE ASSESSMENT OF SPEAKER VERIFICATION SYSTEMS.

Cartier-Michaud, Thomas, Andrea Apollonio, William Millar, et al.. (2022). Explainable machine learning for breakdown prediction in high gradient rf cavities. Physical Review Accelerators and Beams. 25(10). 12 indexed citations

Wu, Xiaowei, M. Boronat, Nuria Catalán Lasheras, et al.. (2021). High-Gradient Breakdown Studies of an X-Band Accelerating Structure Operated in the Reversed Taper Direction. CERN Document Server (European Organization for Nuclear Research). 1543–1546.

Apollonio, Andrea, Thomas Cartier-Michaud, Nuria Catalán Lasheras, et al.. (2021). Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators. CERN Document Server (European Organization for Nuclear Research). 1068–1071. 1 indexed citations

Woolley, Benjamin, Graeme Burt, A. Dexter, et al.. (2020). High-gradient behavior of a dipole-mode rf structure. Physical Review Accelerators and Beams. 23(12). 4 indexed citations

Zha, Hao, Ping Wang, Jiaru Shi, et al.. (2019). Demonstration of a cavity-based pulse compression system for pulse shape correction. Physical Review Accelerators and Beams. 22(8). 9 indexed citations

Apsimon, R., Graeme Burt, James Jones, et al.. (2018). An X-Band Lineariser for the CLARA FEL. JACOW. 3848–3851.

Bernard, Douglas E., Gregory A. Dorais, Edward B. Gamble, et al.. (2002). Design of the Remote Agent experiment for spacecraft autonomy. 2. 259–281. 61 indexed citations

Rajan, Kanna, Douglas E. Bernard, Gregory A. Dorais, et al.. (2000). Remote agent: an autonomous control system for the New Millennium. European Conference on Artificial Intelligence. 726–730. 21 indexed citations

10.

Dorais, Gregory A., Bob Kanefsky, James Kurien, et al.. (2000). Remote Agent Experiment. NASA Technical Reports Server (NASA). 4 indexed citations

11.

e, al, Douglas E. Bernard, Edward B. Gamble, et al.. (1999). Spacecraft autonomy flight experience - The DS1 Remote Agent Experiment. 57 indexed citations

12.

Pell, Barney, Edward B. Gamble, Erann Gat, et al.. (1999). A Hybrid Procedural/Deductive Executive for Autonomous Spacecraft. Autonomous Agents and Multi-Agent Systems. 2(1). 7–22. 3 indexed citations

13.

Millar, William, et al.. (1999). Validation and verification of the remote agent for spacecraft autonomy. 1. 449–468 vol.1. 22 indexed citations

14.

Williams, Brian C. & William Millar. (1998). Decompositional, model-based learning and its analogy to diagnosis. National Conference on Artificial Intelligence. 197–204. 16 indexed citations

15.

Pell, Barney, Edward B. Gamble, Erann Gat, et al.. (1998). A hybrid procedural/deductive executive for autonomous spacecraft. NASA Technical Reports Server (NASA). 369–376. 22 indexed citations

16.

Millar, William. (1987). Time domain acoustic parameters for speech recognition. 1136–1139. 1 indexed citations

17.

Millar, William. (1981). Feature extraction in the machine recognition of speech.

18.

Paton, Andrew S. & William Millar. (1964). Compression of Magnetic Field Between Two Semi-Infinite Slabs of Constant Conductivity. Journal of Applied Physics. 35(4). 1141–1146. 14 indexed citations

19.

Lawson, J.D., et al.. (1955). XXXVIII. The Design and Performance of a High Power Demountable Klystron Amplifier for X-Band. Journal of Electronics and Control. 1(3). 333–354. 2 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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