J. Parker Mitchell

1.5k citations

31 papers · 981 indexed · 1 hit paper · h-index 13

Impact in

Electrical and Electronic Engineering top 5%
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
Cognitive Neuroscience top 5%
- Neural dynamics and brain function

Papers in

Artificial Intelligence 17
- Neural Networks and Reservoir Computing 14
- Neural Networks and Applications 4
- Fuzzy Logic and Control Systems 2
Cognitive Neuroscience 10
- Neural dynamics and brain function 10

Co-authors: Catherine D. Schuman Maryam Parsa Shruti Kulkarni Prasanna Date Bill Kay Thomas E. Potok Robert M. Patton James S. Plank
Journals: Network Computation in Neural Systems (2 papers)IEEE Sensors Journal (1 paper)Nature Computational Science (1 paper)Frontiers in Neuroscience (1 paper)IEEE Control Systems Letters (1 paper)
Partner nations: United States Ireland United Kingdom

In The Last Decade

J. Parker Mitchell

28 papers receiving 953 citations

Hit Papers

align trajectories log scale

Opportunities for neuromorphic computing algorithms and applications 2022 · 615 citations

Peers

Countries citing papers authored by J. Parker Mitchell

Since Specialization

Citations

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

Fields of papers citing papers by J. Parker Mitchell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Parker Mitchell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Parker Mitchell Line = papers co-authored together J. Parker Mitchell links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	Opportunities for neuromorphic computing algorithms and applications Nature Computational Science ·Catherine D. Schuman, Shruti Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay Hit paper breakdown →	2022	615
2	Neuromorphic Computing for Autonomous Racing OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Robert M. Patton, Catherine D. Schuman, Shruti Kulkarni, Maryam Parsa, J. Parker Mitchell, M. Jamil, 雄典松浦, 内田昭夫, Prasanna Date, Thomas E. Potok, Frank Scheibe	2021	19
3	Machine learning applications on event reconstruction and identification for ISS-CREAM Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) ·Dierdre G. Paul, Tyler Anderson, Yu Chen, S. Coutu, А. А. Сафронов, Jason M. Link, J. Parker Mitchell, Isaac Mognet, 高野政志, Kenichi Sakai, Philolaus	2021	1
4	Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Maryam Parsa, Shruti Kulkarni, J. D. Jamieson, R. Wigmans, J. Parker Mitchell, Catherine D. Schuman	2021	2
5	Benchmarking the performance of neuromorphic and spiking neural network simulators Neurocomputing ·Shruti Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman	2021	15
6	Low Power Hardware-In-The-Loop Neuromorphic Training Accelerator OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·J. Parker Mitchell, Catherine D. Schuman	2021	0
7	Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion Prithika Udhayakumar, Brian Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell	2021	0
8	Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Shruti Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman	2021	4
9	A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·J. Parker Mitchell, Catherine D. Schuman, Thomas E. Potok	2020	20
10	Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, LI LI, Derek Rose, Prithika Udhayakumar, Brian Kaul	2020	12
11	Bayesian Multi-objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design Frontiers in Neuroscience ·Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy	2020	32
12	Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Catherine D. Schuman, J. Parker Mitchell, LI LI, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton	2020	20
13	Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion IEEE Control Systems Letters ·Prithika Udhayakumar, Brian Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell	2020	8
14	Evolutionary Optimization for Neuromorphic Systems OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Catherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Thomas E. Potok, James S. Plank	2020	63
15	Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy	2019	14
16	DANNA 2 J. Parker Mitchell, Mark E. Dean, Songqi Wu, James S. Plank, Garrett S. Rose	2018	19
17	Parallel evolutionary optimization for neuromorphic network training IEEE International Conference on High Performance Computing, Data, and Analytics ·Catherine D. Schuman, Hans Meyer, 信行神崎, Songqi Wu, J. Parker Mitchell, Andreas Behra, James S. Plank	2016	7
18	Parallel Evolutionary Optimization for Neuromorphic Network Training Catherine D. Schuman, Hans Meyer, 信行神崎, Songqi Wu, J. Parker Mitchell, Andreas Behra, James S. Plank	2016	6
19	Classification of bacteria responsible for ENT and eye infections using the Cyranose system IEEE Sensors Journal ·Pascal Boilot, Evor L. Hines, Julian W. Gardner, Yukti Panwar, Kurnaemi Anita, J. Parker Mitchell, David W. Morgan	2002	37
20	A geometric interpretation of hidden layer units in feedforward neural networks Network Computation in Neural Systems ·J. Parker Mitchell	1992	4

About J. Parker Mitchell

J. Parker Mitchell is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Fluid Flow and Transfer Processes, Electrical and Electronic Engineering and Computational Mechanics, having authored 31 papers that have together received 981 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Ferroelectric and Negative Capacitance Devices (16 papers), Neural Networks and Reservoir Computing (14 papers), Neural dynamics and brain function (10 papers), Neural Networks and Applications (4 papers), Combustion and flame dynamics (3 papers), Advanced Combustion Engine Technologies (3 papers) and Fuzzy Logic and Control Systems (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (801 citations), Cognitive Neuroscience (256 citations), Artificial Intelligence (408 citations), Cellular and Molecular Neuroscience (189 citations) and Health Informatics (4 citations). J. Parker Mitchell has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Catherine D. Schuman, Maryam Parsa, Shruti Kulkarni, Prasanna Date, Bill Kay, Thomas E. Potok, Robert M. Patton, James S. Plank, Mark E. Dean and Garrett S. Rose. Their work appears in journals such as Network Computation in Neural Systems, IEEE Sensors Journal, Nature Computational Science, Frontiers in Neuroscience and IEEE Control Systems Letters.

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