Malcolm C. Pullan

430 citations
10 papers · 315 indexed · h-index 9
Co-authors
Edward Anderson
Topics
Optimization and Variational Analysis (8 papers)Advanced Optimization Algorithms Research (6 papers)Optimization and Search Problems (4 papers)
Partner nations
United Kingdom

In The Last Decade

Malcolm C. Pullan

10 papers receiving 250 citations

Peers

Malcolm C. Pullan
Comparison fields: 5 of 29
  • Computational Theory and Mathematics 198
  • Numerical Analysis 164
  • Control and Systems Engineering 142
  • Management Information Systems 70
  • Management Science and Operations Research 70
Replace Riccardo Cambini with:
Riccardo Cambini Italy
Anureet Saxena United States
Nikolai Krivulin Russia
Olivier Spanjaard France
Latif Pourkarimi Iran
F. Margot Switzerland
Nir Halman Israel
Vsevolod Shneer United Kingdom
P. M. Dearing United States
Kyoichi Nakashima Japan
Malcolm C. Pullan relative to Riccardo Cambini Italy Riccardo Cambini's profile →
Citations per field
00.5×10×
Riccardo Cambini · 1×
Citations per year

Countries citing papers authored by Malcolm C. Pullan

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm C. Pullan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm C. Pullan. 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 Malcolm C. Pullan. The network helps show where Malcolm C. Pullan may publish in the future.

Co-authorship network of co-authors of Malcolm C. Pullan

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm C. Pullan. A scholar is included among the top collaborators of Malcolm C. Pullan 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 Malcolm C. Pullan. Malcolm C. Pullan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 28
2 32
3 19
4 15
5 9
6 50
7 21
8 56
9 1
10 84

About Malcolm C. Pullan

Malcolm C. Pullan is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Organizational Behavior and Human Resource Management, having authored 10 papers that have together received 315 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (8 papers), Advanced Optimization Algorithms Research (6 papers) and Optimization and Search Problems (4 papers). The work is most often cited by research in Numerical Analysis (164 citations), Computational Theory and Mathematics (198 citations) and Management Information Systems (70 citations). Malcolm C. Pullan has collaborated with scholars based in United Kingdom. Frequent co-authors include Edward Anderson. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Mathematical Programming and SIAM Journal on Control and Optimization.

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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