Neil Thapen

36 papers receiving 163 citations

Peers

Neil Thapen
Comparison fields: 5 of 20
  • Computational Theory and Mathematics 153
  • Artificial Intelligence 116
  • Discrete Mathematics and Combinatorics 16
  • Computer Graphics and Computer-Aided Design 15
  • Computer Networks and Communications 14
Replace Srikanth Srinivasan with:
Srikanth Srinivasan India
Massimo Lauria Italy
Szymon Toruńczyk Poland
Ulrich Hertrampf Germany
Michael Alekhnovich United States
Kanstantsin Pashkovich Canada
Dor Minzer United States
Emil Jeřábek Czechia
Piotr Micek Poland
Jérémie Chalopin France
Neil Thapen relative to Srikanth Srinivasan India Srikanth Srinivasan's profile →
Citations per field
00.5×1.5×1.8×
Srikanth Srinivasan · 1×
Citations per year

Countries citing papers authored by Neil Thapen

Since Specialization
Citations

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

Fields of papers citing papers by Neil Thapen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil Thapen. 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 Neil Thapen. The network helps show where Neil Thapen may publish in the future.

Co-authorship network of co-authors of Neil Thapen

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Thapen. A scholar is included among the top collaborators of Neil Thapen 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 Neil Thapen. Neil Thapen 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
#WorkIndexed citations
1 0
2
Polynomial calculus space and resolution width.
2
3 1
4
3
5 3
6 3
7 1
8 4
9 1
10
A trade-off between length and width in resolution.
4
11 16
12
Space Complexity in Polynomial Calculus
0
13 11
14 4
15 3
16 1
17 6
18 3
19 3
20 13

About Neil Thapen

Neil Thapen is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 38 papers that have together received 174 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (19 papers), Logic, Reasoning, and Knowledge (13 papers) and Formal Methods in Verification (10 papers). The work is most often cited by research in Computational Theory and Mathematics (153 citations), Discrete Mathematics and Combinatorics (16 citations) and Computer Graphics and Computer-Aided Design (15 citations). Neil Thapen has collaborated with scholars based in Czechia, Canada and United Kingdom. Frequent co-authors include Alan Skelley, Stephen Cook, Nicola Galesi, Pavel Pudlák, Jan Krajı́ček, Samuel R. Buss, Phuong Nguyen, Massimo Lauria, Jakob Nordstr”öm and Yuval Filmus. Their work appears in journals such as SIAM Journal on Computing, Proceedings of the London Mathematical Society and Journal of Symbolic Logic.

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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