P.R. Innocent

22 papers and 657 indexed citations i.

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 22 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in P.R. Innocent’s work include Fuzzy Logic and Control Systems (7 papers), Neural Networks and Applications (5 papers) and Protein Structure and Dynamics (5 papers). P.R. Innocent is often cited by papers focused on Fuzzy Logic and Control Systems (7 papers), Neural Networks and Applications (5 papers) and Protein Structure and Dynamics (5 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, G. H. du Boulay, D. Teather, D. Plummer, Andrzej Buller and Michael J. Tauber and has published in prestigious journals such as Statistics in Medicine, Information Sciences and International Journal of Computer Vision.

In The Last Decade

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

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.

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).

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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