P.W. Grant

1.1k citations
55 papers · 749 · 1 hit paper · h-index 11

Impact in

Papers in

P.W. Grant

47 papers receiving 704 citations

P.W. Grant's Hit Papers

Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors 2016 · 285 citations
2850+3+6Years since publication50100150200250

Peers

P.W. Grant
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 315
  • Artificial Intelligence 367
  • Statistical and Nonlinear Physics 131
  • Signal Processing 91
  • Software 26
Replace Ilir Jusufi with:
Ilir Jusufi Sweden
Sayan Ghosh United States
Sabu M. Thampi India
Hsu‐Chun Yen Taiwan
Ou Wu China
Lihua Yue China
Bo Wu United States
Giuseppe Liotta Italy
Shize Guo China
Natarajan Meghanathan United States
P.W. Grant relative to Ilir Jusufi Sweden Ilir Jusufi's profile →
Citations per field
00.5×1.5×2.2×
Ilir Jusufi · 1×
Citations per year

Countries citing papers authored by P.W. Grant

Since Specialization
Citations

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

Fields of papers citing papers by P.W. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.W. Grant. 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 P.W. Grant. The network helps show where P.W. Grant may publish in the future.

Co-authors

The 25 scholars most cited alongside P.W. Grant, 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 P.W. Grant Line = papers co-authored together P.W. Grant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors
Hit paper breakdown →
2016285
2 2012101
3 201349
4 202134
5 200834
6 199433
7 199325
8 201116
9 199615
10 200012
11
A multilevel k–way partitioning algorithm for finite element meshes using competing ant colonies
199910
12 198810
13 200210
14 19958
15 19917
16 19827
17 19987
18 20227
19 19876
20 19896

About P.W. Grant

P.W. Grant is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 55 papers that have together received 749 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (7 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Face and Expression Recognition (5 papers), Usability and User Interface Design (5 papers), Distributed and Parallel Computing Systems (4 papers), Multimedia Communication and Technology (3 papers), Manufacturing Process and Optimization (3 papers) and Advanced Algebra and Logic (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (315 citations), Artificial Intelligence (367 citations), Statistical and Nonlinear Physics (131 citations), Signal Processing (91 citations) and Software (26 citations). P.W. Grant has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include Juanying Xie, Weixin Xie, Xiaohui Liu, Philip A. Townsend, Rita Borgo, M.F. Webster, Luciano Floridi, Irene Reppa, Alfie Abdul‐Rahman and Farhan Mohamed. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Information Sciences, Automatica, Pattern Recognition and Computer Graphics Forum.

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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