Abraham P. Vinod

509 total citations
51 papers, 233 citations indexed

About

Abraham P. Vinod is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Abraham P. Vinod has authored 51 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Management Science and Operations Research. Recurrent topics in Abraham P. Vinod's work include Robotic Path Planning Algorithms (14 papers), Formal Methods in Verification (12 papers) and Advanced Control Systems Optimization (11 papers). Abraham P. Vinod is often cited by papers focused on Robotic Path Planning Algorithms (14 papers), Formal Methods in Verification (12 papers) and Advanced Control Systems Optimization (11 papers). Abraham P. Vinod collaborates with scholars based in United States, United Kingdom and Netherlands. Abraham P. Vinod's co-authors include Meeko Oishi, Stefano Di Cairano, Behçet Açıkmeşe, Avishai Weiss, Ankush Chakrabarty, Baisravan HomChaudhuri, Lydia Tapia, Rien Quirynen, Hao-Tien Lewis Chiang and John A. Richards and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Energy and Buildings.

In The Last Decade

Abraham P. Vinod

45 papers receiving 224 citations

Peers

Abraham P. Vinod
Comparison fields: 5 of 38
  • Control and Systems Engineering 104
  • Computational Theory and Mathematics 61
  • Artificial Intelligence 55
  • Aerospace Engineering 49
  • Computer Vision and Pattern Recognition 46
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Citations per field, relative to Abraham P. Vinod
Abraham P. Vinod · 1×
Citations per year, relative to Abraham P. Vinod
Abraham P. Vinod · 1×

Countries citing papers authored by Abraham P. Vinod

Since Specialization
Citations

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

Fields of papers citing papers by Abraham P. Vinod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abraham P. Vinod

This figure shows the co-authorship network connecting the top 25 collaborators of Abraham P. Vinod. A scholar is included among the top collaborators of Abraham P. Vinod 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 Abraham P. Vinod. Abraham P. Vinod 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 3
2 0
3 0
4 0
5 1
6 1
7 7
8 0
9 1
10 1
11 3
12 1
13 1
14 1
15 3
16 1
17 3
18 6
19 1
20 14

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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