Howard M. Schwartz

158 total papers · 1.8k total citations
129 papers, 1.2k citations indexed

About

Howard M. Schwartz is a scholar working on Artificial Intelligence, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Howard M. Schwartz has authored 129 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 53 papers in Control and Systems Engineering and 31 papers in Aerospace Engineering. Recurrent topics in Howard M. Schwartz's work include Reinforcement Learning in Robotics (37 papers), Adaptive Control of Nonlinear Systems (30 papers) and Guidance and Control Systems (23 papers). Howard M. Schwartz is often cited by papers focused on Reinforcement Learning in Robotics (37 papers), Adaptive Control of Nonlinear Systems (30 papers) and Guidance and Control Systems (23 papers). Howard M. Schwartz collaborates with scholars based in Canada, United States and Iraq. Howard M. Schwartz's co-authors include Liyu Cao, Sidney Givigi, Lingling Cao, Thomas Kunz, Richard Gourdeau, Saad Mekhilef, Pooyan Alinaghi Hosseinabadi, H. R. Pota, Mohamed Atia and Shafiqul Islam and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Image Processing.

In The Last Decade

Howard M. Schwartz

119 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
Howard M. Schwartz	574	347	319	257	157	129	1.2k
Dengping Duan	540 0.9×	398 1.1×	140 0.4×	249 1.0×	118 0.8×	93	1.1k
Sung Kyung Hong	840 1.5×	554 1.6×	195 0.6×	243 0.9×	202 1.3×	77	1.4k
P.N. Nikiforuk	974 1.7×	190 0.5×	460 1.4×	127 0.5×	105 0.7×	179	1.4k
Donald Sofge	381 0.7×	232 0.7×	446 1.4×	232 0.9×	100 0.6×	83	1.2k
Lei Zuo	503 0.9×	155 0.4×	275 0.9×	170 0.7×	135 0.9×	72	1.1k
Péter Bauer	270 0.5×	154 0.4×	191 0.6×	253 1.0×	265 1.7×	126	1.2k
Zhan Li	505 0.9×	154 0.4×	143 0.4×	235 0.9×	80 0.5×	83	938
M.M. Bayoumi	462 0.8×	439 1.3×	338 1.1×	69 0.3×	236 1.5×	95	1.2k
Sándor M. Veres	580 1.0×	236 0.7×	301 0.9×	104 0.4×	44 0.3×	165	1.2k
Jun Zhou	473 0.8×	126 0.4×	286 0.9×	264 1.0×	276 1.8×	117	1.1k

Countries citing papers authored by Howard M. Schwartz

Since Specialization

Citations

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

Fields of papers citing papers by Howard M. Schwartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard M. Schwartz. 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 Howard M. Schwartz. The network helps show where Howard M. Schwartz may publish in the future.

Co-authorship network of co-authors of Howard M. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Howard M. Schwartz. A scholar is included among the top collaborators of Howard M. Schwartz 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 Howard M. Schwartz. Howard M. Schwartz 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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