Howard Kaufman

1.7k total citations
53 papers, 1.3k citations indexed

About

Howard Kaufman is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Howard Kaufman has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Control and Systems Engineering, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Aerospace Engineering. Recurrent topics in Howard Kaufman's work include Adaptive Control of Nonlinear Systems (19 papers), Advanced Control Systems Optimization (17 papers) and Control Systems and Identification (11 papers). Howard Kaufman is often cited by papers focused on Adaptive Control of Nonlinear Systems (19 papers), Advanced Control Systems Optimization (17 papers) and Control Systems and Identification (11 papers). Howard Kaufman collaborates with scholars based in United States, Israel and China. Howard Kaufman's co-authors include Izhak Bar‐Kana, Kenneth Sobel, Itzhak Barkana, Rob Roy, He Wang, Xinhe Xu, Maureen E. Lane, Hilda Haynes, Morris Edelman and Scott Wadler and has published in prestigious journals such as Journal of Clinical Oncology, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Howard Kaufman

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Howard Kaufman United States 13 841 152 108 99 81 53 1.3k
Declan G. Bates United Kingdom 25 570 0.7× 223 1.5× 693 6.4× 110 1.1× 47 0.6× 195 2.0k
Antonio Barreiro Spain 18 961 1.1× 46 0.3× 113 1.0× 20 0.2× 273 3.4× 102 1.4k
Fuyang Chen China 20 1.4k 1.7× 423 2.8× 71 0.7× 5 0.1× 127 1.6× 112 1.9k
Robert N. Clark United States 15 1.6k 1.9× 134 0.9× 55 0.5× 7 0.1× 342 4.2× 41 2.0k
Yossi Chait United States 21 1.1k 1.3× 78 0.5× 32 0.3× 11 0.1× 197 2.4× 91 1.7k
Yamei Luo China 12 250 0.3× 25 0.2× 178 1.6× 22 0.2× 35 0.4× 51 1.2k
Pierdomenico Pepe Italy 35 2.8k 3.3× 95 0.6× 126 1.2× 164 1.7× 54 0.7× 192 3.4k
Jiliang Zhang China 24 260 0.3× 450 3.0× 115 1.1× 21 0.2× 38 0.5× 211 2.0k
Meihang Li China 17 1.2k 1.5× 28 0.2× 32 0.3× 61 0.6× 48 0.6× 35 1.5k
Y. Funahashi Japan 13 393 0.5× 18 0.1× 52 0.5× 5 0.1× 89 1.1× 59 606

Countries citing papers authored by Howard Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Howard Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Howard Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of Howard Kaufman. A scholar is included among the top collaborators of Howard Kaufman 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 Kaufman. Howard Kaufman 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.
Shalhout, Sophia Z., Kevin S. Emerick, Howard Kaufman, & David M. Miller. (2022). A retrospective study of ipilimumab plus nivolumab in anti–PD-L1/PD-1-refractory merkel cell carcinoma.. Journal of Clinical Oncology. 40(16_suppl). 9521–9521. 5 indexed citations
2.
Haydon, Andrew, Ganessan Kichenadasse, John M. Kirkwood, et al.. (2021). A phase 1, open-label, dose escalation study of the safety and tolerability of T3011 in advanced cutaneous or subcutaneous malignancies.. Journal of Clinical Oncology. 39(15_suppl). 2526–2526. 5 indexed citations
3.
Özçelik, Selahattin, et al.. (1996). Design of Robust Feedforward Compensators for Direct Model Reference Adaptive Systems. IFAC Proceedings Volumes. 29(1). 5286–5291. 2 indexed citations
4.
Kaufman, Howard & R. Ravi. (1994). Identifying a Dynamic Model for a GE Frame 7 Gas Turbine. Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; General. 1 indexed citations
5.
Kaufman, Howard, et al.. (1994). The EKF, RPEM, and Recursive Maximum Likelihood Method in a Simple Application to Image Restoration. IFAC Proceedings Volumes. 27(8). 1375–1380. 2 indexed citations
6.
Kaufman, Howard & G.W. Neat. (1993). Asymptotically stable multiple-input multiple-output direct model reference adaptive controller for processes not necessarily satisfying a positive real constraint. International Journal of Control. 58(5). 1011–1031. 19 indexed citations
7.
Neat, G.W., et al.. (1992). Comparison and extension of a direct model reference adaptive control procedure. International Journal of Control. 55(4). 945–967. 9 indexed citations
8.
Bar‐Kana, Izhak & Howard Kaufman. (1987). Simple adaptive control of uncertain plants. 20–25. 3 indexed citations
9.
Kaufman, Howard, et al.. (1985). Continuous Pulmonary Capillary Blood Flow Estimation from Measurements of Respiratory Anesthetic Gas Concentration. IEEE Transactions on Biomedical Engineering. BME-32(12). 1017–1031. 10 indexed citations
10.
Roy, Rob, et al.. (1983). Adaptive Control of Multiple Drug Infusions. 22–26. 24 indexed citations
11.
Kaufman, Howard, et al.. (1982). Model reference adaptive control for linear time varying and nonlinear systems. 287–288. 3 indexed citations
12.
Sobel, K.M. & Howard Kaufman. (1978). Application of Stochastic Optimal Reduced State Feedback Gain Computation Procedures to the Design of Aircraft Gust Alleviation Controllers 1. IFAC Proceedings Volumes. 11(1). 1227–1233. 2 indexed citations
13.
Kaufman, Howard. (1977). Computation of output feedback gains for linear stochastic systems using the Zangwill-Powell method. IEEE Transactions on Automatic Control. 14(14). 1576–1581. 2 indexed citations
14.
Kaufman, Howard, et al.. (1976). Adaptive flight control using optimal linear regulator techniques. Automatica. 12(6). 565–576. 6 indexed citations
15.
Kaufman, Howard, et al.. (1975). Digital Adaptive Model following Flight Control. Journal of Aircraft. 12(9). 693–694. 2 indexed citations
16.
17.
Kaufman, Howard, et al.. (1975). An implicit adaptation algorithm for a linear model reference control system. 864–865. 2 indexed citations
18.
Griffith, Richard, Colin A. Grant, & Howard Kaufman. (1974). An Algorithm for Locating the Aortic Valve and the Apex in Left-Ventricular Angiocardiograms. IEEE Transactions on Biomedical Engineering. BME-21(5). 345–349. 5 indexed citations
19.
Kaufman, Howard, et al.. (1969). Application of Optimal Control Theory to the Crashworthiness of a Passenger Vehicle Model. 5(3). 251–256. 1 indexed citations
20.
Kaufman, Howard. (1967). An Experimental Investigation of Process Identification by Competitive Evolution. 3(1). 11–16. 15 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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