J.B. Hampshire

23 papers receiving 347 citations

Peers

J.B. Hampshire
Comparison fields: 5 of 69
  • Artificial Intelligence 249
  • Computer Vision and Pattern Recognition 125
  • Signal Processing 84
  • Control and Systems Engineering 52
  • Computer Networks and Communications 50
Replace Masumi Ishikawa with:
Masumi Ishikawa Japan
Mohamed Slimane France
Jonathan K. Su United States
Syed Zubair Pakistan
Włodzimierz Kasprzak Poland
Wei Xue China
Lilly Spirkovska United States
Y. Xia China
Mingxing Duan China
Enzo Mumolo Italy
J.B. Hampshire relative to Masumi Ishikawa Japan Masumi Ishikawa's profile →
Citations per field
00.5×3.6×
Masumi Ishikawa · 1×
Citations per year

Countries citing papers authored by J.B. Hampshire

Since Specialization
Citations

This map shows the geographic impact of J.B. Hampshire'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. Hampshire 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. Hampshire more than expected).

Fields of papers citing papers by J.B. Hampshire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J.B. Hampshire. A scholar is included among the top collaborators of J.B. Hampshire 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. Hampshire. J.B. Hampshire 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
#WorkIndexed citations
1
Hammering Yucca Flat, Part One: P-Wave Velocity
1
2 1
3 36
4 15
5 0
6 3
7 1
8 1
9 23
10
sarMAPPER: A Real-Time Interactive SAR Tactical Mapper
1
11
Automated Downlink Analysis for the Deep Space Network
1
12 6
13 1
14 1
15 66
16
Shooting Craps in Search of an Optimal Strategy for Training Connectionist Pattern Classifiers
4
17 148
18 16
19
Building blocks for speech
9
20 2

About J.B. Hampshire

J.B. Hampshire is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 377 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Speech and Audio Processing (4 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Signal Processing (84 citations), Artificial Intelligence (249 citations) and Computer Vision and Pattern Recognition (125 citations). J.B. Hampshire has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Alexander Waibel, Alex Waibel, Christopher Diehl, John W. Strohbehn, B. V. K. Vijaya Kumar, Pradeep K. Khosla, P.K. Khosla, Martha D. McDaniel, John M. Dolan and Jesús Salido. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Early Child Development and Care.

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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