P.W. Grant

1.1k citations
54 papers · 738 · 1 hit paper · h-index 11

Impact in

Papers in

P.W. Grant

47 papers receiving 691 citations

P.W. Grant's Hit Papers

Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors 2016 · 281 citations
2810+3+6Years since publication50100150200250

Peers

P.W. Grant
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 309
  • Artificial Intelligence 362
  • Statistical and Nonlinear Physics 131
  • Signal Processing 90
  • Software 26
Replace Ilir Jusufi with:
Ilir Jusufi Sweden
Sabu M. Thampi India
Sayan Ghosh United States
Bo Wu United States
Ou Wu China
Lihua Yue China
Kangfeng Zheng China
Hsu‐Chun Yen Taiwan
Gongshen Liu China
Chenglong Wang China
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 54 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 →
2016281
2 201297
3 201349
4 202134
5 200833
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 19827
16 19917
17 19987
18 19876
19 20226
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 54 papers that have together received 738 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), Modeling and Simulation Systems (3 papers), Multimedia Communication and Technology (3 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (309 citations), Artificial Intelligence (362 citations), Statistical and Nonlinear Physics (131 citations), Signal Processing (90 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, Alfie Abdul‐Rahman, Irene Reppa, Farhan Mohamed and Min Chen. Their work appears in journals such as Information Sciences, Automatica, Engineering Applications of Artificial Intelligence, 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.

Explore authors with similar magnitude of impact