P.R. Innocent

1.3k total citations
32 papers, 920 citations indexed

About

P.R. Innocent is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, P.R. Innocent has authored 32 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Molecular Biology and 8 papers in Computational Theory and Mathematics. Recurrent topics in P.R. Innocent's work include Fuzzy Logic and Control Systems (10 papers), Protein Structure and Dynamics (8 papers) and Rough Sets and Fuzzy Logic (7 papers). P.R. Innocent is often cited by papers focused on Fuzzy Logic and Control Systems (10 papers), Protein Structure and Dynamics (8 papers) and Rough Sets and Fuzzy Logic (7 papers). P.R. Innocent collaborates with scholars based in United Kingdom, Norway and Poland. P.R. Innocent's co-authors include Robert John, Jonathan M. Garibaldi, Heiko Hirschmüller, M.R. Barnes, Parvez I. Haris, David B. Finlay, Andrzej Buller, G. H. du Boulay, D. Teather and D. Plummer and has published in prestigious journals such as Statistics in Medicine, Information Sciences and International Journal of Computer Vision.

In The Last Decade

P.R. Innocent

31 papers receiving 847 citations

Peers

P.R. Innocent
Comparison fields: 5 of 108
  • Computer Vision and Pattern Recognition 406
  • Artificial Intelligence 327
  • Aerospace Engineering 136
  • Management Science and Operations Research 116
  • Media Technology 85
Replace Dinabandhu Bhandari with:
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Qiansheng Cheng China
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Wojciech Siedlecki United States
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Petr Somol Czechia
Tamalika Chaira India
Yu Lu China
Dinabandhu Bhandari India View profile →
Citations per field, relative to P.R. Innocent
P.R. Innocent · 1×
Citations per year, relative to P.R. Innocent
P.R. Innocent · 1×

Countries citing papers authored by P.R. Innocent

Since Specialization
Citations

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

Fields of papers citing papers by P.R. Innocent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.R. Innocent

This figure shows the co-authorship network connecting the top 25 collaborators of P.R. Innocent. A scholar is included among the top collaborators of P.R. Innocent 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 P.R. Innocent. P.R. Innocent 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
# Work Indexed citations
1 89
2
Empirical knowledge and genetic algorithms for selection of amide I frequencies in protein secondary structure prediction
0
3 4
4 13
5 64
6 15
7 33
8
Type-2 fuzzy medical diagnosis
4
9 14
10
New approaches for quantification of protein secondary structure from FTIR spectra of proteins
1
11 13
12 6
13
An improved method for rapid quantification of protein secondary structure from FTIR spectra of proteins
1
14 21
15 19
16
Does transparency matter in learning Unix mail
2
17 10
18
Designing for the mental model: an interdisciplinary approach to the definition of a user interface for electronic mail systems
1
19 12
20 5

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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