J.B. Gomm

1.4k total citations
68 papers, 1.1k citations indexed

About

J.B. Gomm is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, J.B. Gomm has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Control and Systems Engineering, 24 papers in Artificial Intelligence and 20 papers in Mechanical Engineering. Recurrent topics in J.B. Gomm's work include Fault Detection and Control Systems (52 papers), Advanced Control Systems Optimization (32 papers) and Neural Networks and Applications (22 papers). J.B. Gomm is often cited by papers focused on Fault Detection and Control Systems (52 papers), Advanced Control Systems Optimization (32 papers) and Neural Networks and Applications (22 papers). J.B. Gomm collaborates with scholars based in United Kingdom, China and Germany. J.B. Gomm's co-authors include Dingli Yu, David Williams, Gerald Page, Obrad Dordevic, E. Levi, Ivan Subotić, P.J.G. Lisboa, D.N. Shields, J. Atkinson and Yantao Tian and has published in prestigious journals such as Fuzzy Sets and Systems, IEEE Transactions on Energy Conversion and IEEE Transactions on Control Systems Technology.

In The Last Decade

J.B. Gomm

63 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.B. Gomm United Kingdom	15	751	337	137	105	88	68	1.1k
Jian-Xun Peng United Kingdom	12	385 0.5×	317 0.9×	62 0.5×	82 0.8×	23 0.3×	23	709
Pak-Kin Wong Macao	13	241 0.3×	204 0.6×	111 0.8×	137 1.3×	37 0.4×	28	658
Arun K. Tangirala India	16	682 0.9×	120 0.4×	150 1.1×	166 1.6×	14 0.2×	89	1.1k
Hui Peng China	17	826 1.1×	228 0.7×	85 0.6×	110 1.0×	9 0.1×	57	1.0k
Arslan Ahmed Amin Pakistan	18	724 1.0×	74 0.2×	108 0.8×	361 3.4×	95 1.1×	55	1.1k
Stefan Byttner Sweden	11	194 0.3×	108 0.3×	64 0.5×	60 0.6×	57 0.6×	43	479
Jian Wu China	20	1.1k 1.4×	121 0.4×	147 1.1×	109 1.0×	71 0.8×	91	1.5k
A. Rault France	7	1.3k 1.8×	99 0.3×	118 0.9×	99 0.9×	18 0.2×	13	1.5k
Olivier Léonard Belgium	15	219 0.3×	97 0.3×	99 0.7×	61 0.6×	45 0.5×	48	587

Countries citing papers authored by J.B. Gomm

Since Specialization

Citations

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

Fields of papers citing papers by J.B. Gomm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.B. Gomm. 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 J.B. Gomm. The network helps show where J.B. Gomm may publish in the future.

Co-authorship network of co-authors of J.B. Gomm

This figure shows the co-authorship network connecting the top 25 collaborators of J.B. Gomm. A scholar is included among the top collaborators of J.B. Gomm 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 J.B. Gomm. J.B. Gomm 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

Subotić, Ivan, Obrad Dordevic, J.B. Gomm, & E. Levi. (2019). Active and Reactive Power Sharing Between Three-Phase Winding Sets of a Multiphase Induction Machine. IEEE Transactions on Energy Conversion. 34(3). 1401–1410. 20 indexed citations

Zhai, Yujia, et al.. (2019). Fault Tolerant Control of Electronic Throttles with Friction Changes. Electronics. 8(9). 918–918. 1 indexed citations

Tian, Yantao, et al.. (2019). Fault tolerant control for nonlinear systems using sliding mode and adaptive neural network estimator. Soft Computing. 24(15). 11535–11544. 12 indexed citations

Gomm, J.B., et al.. (2017). An improved search space resizing method for model identification by standard genetic algorithm. Systems Science & Control Engineering. 5(1). 117–128. 4 indexed citations

Gomm, J.B., et al.. (2012). An algorithm for generating real describing functions. 94. 947–952. 3 indexed citations

Gomm, J.B., et al.. (2008). Neural network fault classification of transient data in an automotive engine air path. International Journal of Modelling Identification and Control. 3(2). 148–148. 12 indexed citations

Yu, Dingli, et al.. (2007). ADAPTIVE FDI FOR AUTOMOTIVE ENGINE AIR PATH AND ROBUSTNESS ASSESSMENT UNDER CLOSED-LOOP CONTROL. International Journal of Automotive Technology. 8(5). 637–650. 1 indexed citations

Yu, Dingli, et al.. (2006). On-board monitoring and diagnosis for spark ignition engine air path via adaptive neural networks. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 220(11). 1641–1655. 10 indexed citations

Yu, Dingli, et al.. (2005). Adaptive neural network model based predictive control for air–fuel ratio of SI engines. Engineering Applications of Artificial Intelligence. 19(2). 189–200. 111 indexed citations

10.

Yu, Dingli, et al.. (2005). A parity space method of fault detection for bilinear systems. 2. 1132–1133. 10 indexed citations

11.

Yu, Dingli, et al.. (2005). ADAPTIVE MODELLING AND PREDICTIVE CONTROL OF AN IC ENGINE. IFAC Proceedings Volumes. 38(1). 242–247.

12.

Yu, Dingli & J.B. Gomm. (2003). Implementation of neural network predictive control to a multivariable chemical reactor. Control Engineering Practice. 11(11). 1315–1323. 81 indexed citations

13.

Yu, Dingli, et al.. (2002). MODEL PREDICTIVE CONTROL OF A CHEMICAL PROCESS BASED ON AN ADAPTIVE NEURAL NETWORK. IFAC Proceedings Volumes. 35(1). 295–300. 2 indexed citations

14.

Gomm, J.B. & Dingli Yu. (2000). Selecting radial basis function network centers with recursive orthogonal least squares training. IEEE Transactions on Neural Networks. 11(2). 306–314. 169 indexed citations

15.

Gomm, J.B. & Dingli Yu. (2000). Backward Centre Selection Method for On-Line Adaptation of RBF Network Models. IFAC Proceedings Volumes. 33(15). 61–66. 1 indexed citations

16.

Gomm, J.B., et al.. (1997). Experiment design considerations for non-linear system identification using neural networks. Computers & Chemical Engineering. 21(3). 327–346. 41 indexed citations

17.

Williams, David, et al.. (1997). Estimation of inaccessible fermentation states with variable inoculum sizes. Artificial Intelligence in Engineering. 11(4). 383–392. 8 indexed citations

18.

Gomm, J.B.. (1996). Control of pH in-line using a neural predictive strategy. 1996. 1058–1063. 7 indexed citations

19.

Gomm, J.B.. (1995). Process Fault Diagnosis using a Self-Adaptive Neural Network with On-Line Learning Capabilities. IFAC Proceedings Volumes. 28(12). 69–74. 12 indexed citations

20.

Gomm, J.B., et al.. (1994). Accurate multi-step-ahead prediction of non-linear systems using the MLP neural network with spread encoding. Transactions of the Institute of Measurement and Control. 16(4). 203–213. 7 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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