R.M. Goodman

3.7k total citations
90 papers, 2.4k citations indexed

About

R.M. Goodman is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, R.M. Goodman has authored 90 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 29 papers in Electrical and Electronic Engineering and 18 papers in Computer Networks and Communications. Recurrent topics in R.M. Goodman's work include Neural Networks and Applications (23 papers), Error Correcting Code Techniques (12 papers) and Algorithms and Data Compression (9 papers). R.M. Goodman is often cited by papers focused on Neural Networks and Applications (23 papers), Error Correcting Code Techniques (12 papers) and Algorithms and Data Compression (9 papers). R.M. Goodman collaborates with scholars based in United States, United Kingdom and Taiwan. R.M. Goodman's co-authors include Padhraic Smyth, Alcherio Martinoli, A.T. Hayes, John Kim, Changhoon Lee, Tzi‐Dar Chiueh, Charles M. Higgins, J.M. Allman, Andrew Moore and John W. V. Miller and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Information Theory.

In The Last Decade

R.M. Goodman

77 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R.M. Goodman United States	24	844	488	439	380	376	90	2.4k
William M. Spears United States	19	1.1k 1.3×	204 0.4×	131 0.3×	628 1.7×	300 0.8×	44	2.2k
Hyondong Oh South Korea	28	411 0.5×	213 0.4×	226 0.5×	730 1.9×	748 2.0×	108	2.4k
A. Pedro Aguiar Portugal	36	648 0.8×	187 0.4×	51 0.1×	1.7k 4.4×	1.2k 3.3×	255	5.2k
Dongbing Gu United Kingdom	36	940 1.1×	306 0.6×	32 0.1×	1.5k 3.9×	1.6k 4.4×	231	4.5k
Songhwai Oh South Korea	26	918 1.1×	190 0.4×	27 0.1×	809 2.1×	1.2k 3.2×	169	2.6k
Il Memming Park United States	23	475 0.6×	85 0.2×	30 0.1×	268 0.7×	226 0.6×	78	2.1k
Luca Schenato Italy	38	1.8k 2.2×	441 0.9×	49 0.1×	5.2k 13.6×	333 0.9×	182	8.6k
Ricardo G. Sanfelice United States	31	449 0.5×	292 0.6×	32 0.1×	1.4k 3.6×	330 0.9×	283	6.2k
Chong‐Ho Choi South Korea	26	455 0.5×	239 0.5×	10 0.0×	654 1.7×	646 1.7×	122	2.5k
Dragan Nešić Australia	48	388 0.5×	185 0.4×	44 0.1×	2.7k 7.1×	91 0.2×	288	9.9k

Countries citing papers authored by R.M. Goodman

Since Specialization

Citations

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

Fields of papers citing papers by R.M. Goodman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.M. Goodman

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Goodman, R.M., et al.. (2005). Single Phased Burst Error Correcting Array Codes. 195–195.

Goodman, R.M., et al.. (2002). A learning algorithm for multi-layer perceptrons with hard-limiting threshold units. 219–228. 7 indexed citations

Han, Zhigang, T. Tsao, Qiao Lin, et al.. (1999). A Fully Integrated Shear Stress Sensor. Center for Embedded Network Sensing. 18 indexed citations

Goodman, R.M., et al.. (1997). Bach in a Box - Real-Time Harmony. CaltechAUTHORS (California Institute of Technology). 10. 957–963. 2 indexed citations

Goodman, R.M., et al.. (1996). Application of Neural Network to Turbulence Control. APS Division of Fluid Dynamics Meeting Abstracts. 1 indexed citations

Goodman, R.M., et al.. (1996). Analog VLSI implementation for stereo correspondence between 2-D images. IEEE Transactions on Neural Networks. 7(2). 266–277. 10 indexed citations

Goodman, R.M., et al.. (1993). A Hybrid Expert System/Neural Network Traffic Advice System. Integrated Network Management. 607–616.

Chiueh, Tzi‐Dar & R.M. Goodman. (1993). Recurrent correlation associative memories and their VLSI implementation. Oxford University Press eBooks. 276–287. 4 indexed citations

Higgins, Charles M. & R.M. Goodman. (1992). Learning Fuzzy Rule-Based Neural Networks for Control. CaltechAUTHORS (California Institute of Technology). 5. 350–357. 15 indexed citations

10.

Greenspan, Hayit & R.M. Goodman. (1992). Remote Sensing Image Analysis via a Texture Classification Neural Network. CaltechAUTHORS (California Institute of Technology). 5. 425–432. 7 indexed citations

11.

Chiueh, Tzi‐Dar & R.M. Goodman. (1991). Recurrent correlation associative memories. IEEE Transactions on Neural Networks. 2(2). 275–284. 77 indexed citations

12.

Greenspan, Hayit, R.M. Goodman, & Rama Chellappa. (1991). Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery. CaltechAUTHORS (California Institute of Technology). 4. 444–451. 3 indexed citations

13.

Moore, Andrew, J.M. Allman, & R.M. Goodman. (1991). A real-time neural system for color constancy. IEEE Transactions on Neural Networks. 2(2). 237–247. 111 indexed citations

14.

Goodman, R.M., et al.. (1991). The reliability of semiconductor RAM memories with on-chip error-correction coding. IEEE Transactions on Information Theory. 37(3). 884–896. 31 indexed citations

15.

Goodman, R.M., et al.. (1990). Exploiting the inherent fault tolerance of asynchronous arrays. Prentice-Hall, Inc eBooks. 567–576. 1 indexed citations

16.

Chiueh, Tzi‐Dar & R.M. Goodman. (1989). VLSI Implementation of a High-Capacity Neural Network Associative Memory. CaltechAUTHORS (California Institute of Technology). 2. 793–800. 8 indexed citations

17.

Goodman, R.M. & Padhraic Smyth. (1988). Information-theoretic rule induction. European Conference on Artificial Intelligence. 357–362. 10 indexed citations

18.

Goodman, R.M., John W. V. Miller, & Padhraic Smyth. (1988). An Information Theoretic Approach to Rule-Based Connectionist Expert Systems. CaltechAUTHORS (California Institute of Technology). 1. 256–263. 11 indexed citations

19.

Chiueh, Tzi‐Dar & R.M. Goodman. (1987). A NEURAL NETWORK CLASSIFIER BASED ON CODING THEORY. Neural Information Processing Systems. 174–183. 6 indexed citations

20.

Farrell, P.G. & R.M. Goodman. (1980). Soft-decision error control for H.F. data transmission. IEE Proceedings F Communications, Radar and Signal Processing. 127(5). 389–400.

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.

Explore authors with similar magnitude of impact