Daya Ram Gaur

484 total citations
30 papers, 224 citations indexed

About

Daya Ram Gaur is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Daya Ram Gaur has authored 30 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 11 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Daya Ram Gaur's work include Complexity and Algorithms in Graphs (7 papers), Advanced Graph Theory Research (6 papers) and Optimization and Search Problems (4 papers). Daya Ram Gaur is often cited by papers focused on Complexity and Algorithms in Graphs (7 papers), Advanced Graph Theory Research (6 papers) and Optimization and Search Problems (4 papers). Daya Ram Gaur collaborates with scholars based in Canada, India and United States. Daya Ram Gaur's co-authors include Ramesh Krishnamurti, Rajeev Kohli, Toshihide Ibaraki, Ján Maňuch, Salimur Choudhury, Robert R. Nerem, Marius Nagy, Kazuhisa Makino, Boaz Ben‐Moshe and Alfredo Iorio and has published in prestigious journals such as Operations Research, Mathematical Programming and Computational Materials Science.

In The Last Decade

Daya Ram Gaur

26 papers receiving 212 citations

Peers

Daya Ram Gaur
Comparison fields: 5 of 47
  • Industrial and Manufacturing Engineering 119
  • Automotive Engineering 53
  • Computational Theory and Mathematics 52
  • Computer Networks and Communications 48
  • Building and Construction 32
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Citations per field, relative to Daya Ram Gaur
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Citations per year, relative to Daya Ram Gaur
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Countries citing papers authored by Daya Ram Gaur

Since Specialization
Citations

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

Fields of papers citing papers by Daya Ram Gaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daya Ram Gaur. 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 Daya Ram Gaur. The network helps show where Daya Ram Gaur may publish in the future.

Co-authorship network of co-authors of Daya Ram Gaur

This figure shows the co-authorship network connecting the top 25 collaborators of Daya Ram Gaur. A scholar is included among the top collaborators of Daya Ram Gaur 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 Daya Ram Gaur. Daya Ram Gaur 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 0
2 1
3 0
4 4
5 1
6 2
7 4
8 5
9 17
10
On Resolution Like Proofs of Monotone Self-Dual Functions.
0
11 2
12 18
13 2
14
Computing a planar widest empty -siphon in o(n 3 ) time
1
15 3
16 0
17 30
18 1
19
Satisfiability and self-duality of monotone boolean functions
7
20
Detecting unsatisfiable CSPs by coloring the micro-structure
3

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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